Extraction of tumor motion trajectories using PICCS-4DCBCT: A validation study
Purpose: As a counterpart of 4DCT in the treatment planning stage of radiotherapy treatment, 4D cone beam computed tomography (4DCBCT) method has been proposed to verify tumor motion trajectories before radiation therapy treatment delivery. Besides 4DCBCT acquisition using slower gantry rotation spe...
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| Published in: | Medical physics (Lancaster) Vol. 38; no. 10; pp. 5530 - 5538 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
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United States
American Association of Physicists in Medicine
01.10.2011
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| ISSN: | 0094-2405, 2473-4209, 0094-2405 |
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| Abstract | Purpose:
As a counterpart of 4DCT in the treatment planning stage of radiotherapy treatment, 4D cone beam computed tomography (4DCBCT) method has been proposed to verify tumor motion trajectories before radiation therapy treatment delivery. Besides 4DCBCT acquisition using slower gantry rotation speed or multiple rotations, a new method using the prior image constrained compressed sensing (PICCS) image reconstruction method and the standard 1-min data acquisition were proposed. In this paper, the PICCS-4DCBCT method was combined with deformable registration to validate its capability in motion trajectory extraction using physical phantom data, simulated human subject data from 4DCT andin vivo human subject data.
Methods:
Two methods were used to validate PICCS-4DCBCT for the purpose of respiratory motion delineation. The standard 1-min gantry rotation Cone Beam CT acquisition was used for both methods. In the first method, 4DCBCT projection data of a physical motion phantom were acquired using an on-board CBCT acquisition system (Varian Medical Systems, Palo Alto, CA). Using a deformable registration method, the object motion trajectories were extracted from both FBP and PICCS reconstructed 4DCBCT images, and compared against the programmed motion trajectories. In the second method, using a clinical 4DCT dataset, Cone Beam CT projections were simulated by forward projection. Using a deformable registration method, the tumor motion trajectories were extracted from the reconstructed 4DCT and PICCS-4DCBCT images. The performance of PICCS-4DCBCT is assessed against the 4DCT ground truth. The breathing period was varied in the simulation to study its effect on motion extraction. For both validation methods, the root mean square error (RMSE) and the maximum of the errors (MaxE) were used to quantify the accuracy of the extracted motion trajectories. After the validation, a clinical dataset was used to demonstrate the motion delineation capability of PICCS-4DCBCT for human subjects.
Results:
In both validation studies, the RMSEs of the extracted motion trajectories from PICCS-4DCBCT images are less than 0.7 mm, and their MaxEs are less than 1 mm, for all three directions. In comparison, FBP-4DCBCT shows considerably larger RMSEs in the physical phantom based validation. PICCS-4DCBCT also shows insensitivity to the breathing period in the 4DCT based validation. For thein vivo human subject study, high quality 3D motion trajectory of the tumor was obtained from PICCS-4DCBCT images and showed consistency with visual observation.
Conclusions:
These results demonstrate accurate delineation of tumor motion trajectory can be achieved using PICCS-4DCBCT and the standard 1-min data acquisition. |
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| AbstractList | As a counterpart of 4DCT in the treatment planning stage of radiotherapy treatment, 4D cone beam computed tomography (4DCBCT) method has been proposed to verify tumor motion trajectories before radiation therapy treatment delivery. Besides 4DCBCT acquisition using slower gantry rotation speed or multiple rotations, a new method using the prior image constrained compressed sensing (PICCS) image reconstruction method and the standard 1-min data acquisition were proposed. In this paper, the PICCS-4DCBCT method was combined with deformable registration to validate its capability in motion trajectory extraction using physical phantom data, simulated human subject data from 4DCT and in vivo human subject data.
Two methods were used to validate PICCS-4DCBCT for the purpose of respiratory motion delineation. The standard 1-min gantry rotation Cone Beam CT acquisition was used for both methods. In the first method, 4DCBCT projection data of a physical motion phantom were acquired using an on-board CBCT acquisition system (Varian Medical Systems, Palo Alto, CA). Using a deformable registration method, the object motion trajectories were extracted from both FBP and PICCS reconstructed 4DCBCT images, and compared against the programmed motion trajectories. In the second method, using a clinical 4DCT dataset, Cone Beam CT projections were simulated by forward projection. Using a deformable registration method, the tumor motion trajectories were extracted from the reconstructed 4DCT and PICCS-4DCBCT images. The performance of PICCS-4DCBCT is assessed against the 4DCT ground truth. The breathing period was varied in the simulation to study its effect on motion extraction. For both validation methods, the root mean square error (RMSE) and the maximum of the errors (MaxE) were used to quantify the accuracy of the extracted motion trajectories. After the validation, a clinical dataset was used to demonstrate the motion delineation capability of PICCS-4DCBCT for human subjects.
In both validation studies, the RMSEs of the extracted motion trajectories from PICCS-4DCBCT images are less than 0.7 mm, and their MaxEs are less than 1 mm, for all three directions. In comparison, FBP-4DCBCT shows considerably larger RMSEs in the physical phantom based validation. PICCS-4DCBCT also shows insensitivity to the breathing period in the 4DCT based validation. For the in vivo human subject study, high quality 3D motion trajectory of the tumor was obtained from PICCS-4DCBCT images and showed consistency with visual observation.
These results demonstrate accurate delineation of tumor motion trajectory can be achieved using PICCS-4DCBCT and the standard 1-min data acquisition. Purpose: As a counterpart of 4DCT in the treatment planning stage of radiotherapy treatment, 4D cone beam computed tomography (4DCBCT) method has been proposed to verify tumor motion trajectories before radiation therapy treatment delivery. Besides 4DCBCT acquisition using slower gantry rotation speed or multiple rotations, a new method using the prior image constrained compressed sensing (PICCS) image reconstruction method and the standard 1-min data acquisition were proposed. In this paper, the PICCS-4DCBCT method was combined with deformable registration to validate its capability in motion trajectory extraction using physical phantom data, simulated human subject data from 4DCT and in vivo human subject data. Methods: Two methods were used to validate PICCS-4DCBCT for the purpose of respiratory motion delineation. The standard 1-min gantry rotation Cone Beam CT acquisition was used for both methods. In the first method, 4DCBCT projection data of a physical motion phantom were acquired using an on-board CBCT acquisition system (Varian Medical Systems, Palo Alto, CA). Using a deformable registration method, the object motion trajectories were extracted from both FBP and PICCS reconstructed 4DCBCT images, and compared against the programmed motion trajectories. In the second method, using a clinical 4DCT dataset, Cone Beam CT projections were simulated by forward projection. Using a deformable registration method, the tumor motion trajectories were extracted from the reconstructed 4DCT and PICCS-4DCBCT images. The performance of PICCS-4DCBCT is assessed against the 4DCT ground truth. The breathing period was varied in the simulation to study its effect on motion extraction. For both validation methods, the root mean square error (RMSE) and the maximum of the errors (MaxE) were used to quantify the accuracy of the extracted motion trajectories. After the validation, a clinical dataset was used to demonstrate the motion delineation capability of PICCS-4DCBCT for human subjects. Results: In both validation studies, the RMSEs of the extracted motion trajectories from PICCS-4DCBCT images are less than 0.7 mm, and their MaxEs are less than 1 mm, for all three directions. In comparison, FBP-4DCBCT shows considerably larger RMSEs in the physical phantom based validation. PICCS-4DCBCT also shows insensitivity to the breathing period in the 4DCT based validation. For the in vivo human subject study, high quality 3D motion trajectory of the tumor was obtained from PICCS-4DCBCT images and showed consistency with visual observation. Conclusions: These results demonstrate accurate delineation of tumor motion trajectory can be achieved using PICCS-4DCBCT and the standard 1-min data acquisition. As a counterpart of 4DCT in the treatment planning stage of radiotherapy treatment, 4D cone beam computed tomography (4DCBCT) method has been proposed to verify tumor motion trajectories before radiation therapy treatment delivery. Besides 4DCBCT acquisition using slower gantry rotation speed or multiple rotations, a new method using the prior image constrained compressed sensing (PICCS) image reconstruction method and the standard 1-min data acquisition were proposed. In this paper, the PICCS-4DCBCT method was combined with deformable registration to validate its capability in motion trajectory extraction using physical phantom data, simulated human subject data from 4DCT and in vivo human subject data.PURPOSEAs a counterpart of 4DCT in the treatment planning stage of radiotherapy treatment, 4D cone beam computed tomography (4DCBCT) method has been proposed to verify tumor motion trajectories before radiation therapy treatment delivery. Besides 4DCBCT acquisition using slower gantry rotation speed or multiple rotations, a new method using the prior image constrained compressed sensing (PICCS) image reconstruction method and the standard 1-min data acquisition were proposed. In this paper, the PICCS-4DCBCT method was combined with deformable registration to validate its capability in motion trajectory extraction using physical phantom data, simulated human subject data from 4DCT and in vivo human subject data.Two methods were used to validate PICCS-4DCBCT for the purpose of respiratory motion delineation. The standard 1-min gantry rotation Cone Beam CT acquisition was used for both methods. In the first method, 4DCBCT projection data of a physical motion phantom were acquired using an on-board CBCT acquisition system (Varian Medical Systems, Palo Alto, CA). Using a deformable registration method, the object motion trajectories were extracted from both FBP and PICCS reconstructed 4DCBCT images, and compared against the programmed motion trajectories. In the second method, using a clinical 4DCT dataset, Cone Beam CT projections were simulated by forward projection. Using a deformable registration method, the tumor motion trajectories were extracted from the reconstructed 4DCT and PICCS-4DCBCT images. The performance of PICCS-4DCBCT is assessed against the 4DCT ground truth. The breathing period was varied in the simulation to study its effect on motion extraction. For both validation methods, the root mean square error (RMSE) and the maximum of the errors (MaxE) were used to quantify the accuracy of the extracted motion trajectories. After the validation, a clinical dataset was used to demonstrate the motion delineation capability of PICCS-4DCBCT for human subjects.METHODSTwo methods were used to validate PICCS-4DCBCT for the purpose of respiratory motion delineation. The standard 1-min gantry rotation Cone Beam CT acquisition was used for both methods. In the first method, 4DCBCT projection data of a physical motion phantom were acquired using an on-board CBCT acquisition system (Varian Medical Systems, Palo Alto, CA). Using a deformable registration method, the object motion trajectories were extracted from both FBP and PICCS reconstructed 4DCBCT images, and compared against the programmed motion trajectories. In the second method, using a clinical 4DCT dataset, Cone Beam CT projections were simulated by forward projection. Using a deformable registration method, the tumor motion trajectories were extracted from the reconstructed 4DCT and PICCS-4DCBCT images. The performance of PICCS-4DCBCT is assessed against the 4DCT ground truth. The breathing period was varied in the simulation to study its effect on motion extraction. For both validation methods, the root mean square error (RMSE) and the maximum of the errors (MaxE) were used to quantify the accuracy of the extracted motion trajectories. After the validation, a clinical dataset was used to demonstrate the motion delineation capability of PICCS-4DCBCT for human subjects.In both validation studies, the RMSEs of the extracted motion trajectories from PICCS-4DCBCT images are less than 0.7 mm, and their MaxEs are less than 1 mm, for all three directions. In comparison, FBP-4DCBCT shows considerably larger RMSEs in the physical phantom based validation. PICCS-4DCBCT also shows insensitivity to the breathing period in the 4DCT based validation. For the in vivo human subject study, high quality 3D motion trajectory of the tumor was obtained from PICCS-4DCBCT images and showed consistency with visual observation.RESULTSIn both validation studies, the RMSEs of the extracted motion trajectories from PICCS-4DCBCT images are less than 0.7 mm, and their MaxEs are less than 1 mm, for all three directions. In comparison, FBP-4DCBCT shows considerably larger RMSEs in the physical phantom based validation. PICCS-4DCBCT also shows insensitivity to the breathing period in the 4DCT based validation. For the in vivo human subject study, high quality 3D motion trajectory of the tumor was obtained from PICCS-4DCBCT images and showed consistency with visual observation.These results demonstrate accurate delineation of tumor motion trajectory can be achieved using PICCS-4DCBCT and the standard 1-min data acquisition.CONCLUSIONSThese results demonstrate accurate delineation of tumor motion trajectory can be achieved using PICCS-4DCBCT and the standard 1-min data acquisition. Purpose: As a counterpart of 4DCT in the treatment planning stage of radiotherapy treatment, 4D cone beam computed tomography (4DCBCT) method has been proposed to verify tumor motion trajectories before radiation therapy treatment delivery. Besides 4DCBCT acquisition using slower gantry rotation speed or multiple rotations, a new method using the prior image constrained compressed sensing (PICCS) image reconstruction method and the standard 1-min data acquisition were proposed. In this paper, the PICCS-4DCBCT method was combined with deformable registration to validate its capability in motion trajectory extraction using physical phantom data, simulated human subject data from 4DCT andin vivo human subject data. Methods: Two methods were used to validate PICCS-4DCBCT for the purpose of respiratory motion delineation. The standard 1-min gantry rotation Cone Beam CT acquisition was used for both methods. In the first method, 4DCBCT projection data of a physical motion phantom were acquired using an on-board CBCT acquisition system (Varian Medical Systems, Palo Alto, CA). Using a deformable registration method, the object motion trajectories were extracted from both FBP and PICCS reconstructed 4DCBCT images, and compared against the programmed motion trajectories. In the second method, using a clinical 4DCT dataset, Cone Beam CT projections were simulated by forward projection. Using a deformable registration method, the tumor motion trajectories were extracted from the reconstructed 4DCT and PICCS-4DCBCT images. The performance of PICCS-4DCBCT is assessed against the 4DCT ground truth. The breathing period was varied in the simulation to study its effect on motion extraction. For both validation methods, the root mean square error (RMSE) and the maximum of the errors (MaxE) were used to quantify the accuracy of the extracted motion trajectories. After the validation, a clinical dataset was used to demonstrate the motion delineation capability of PICCS-4DCBCT for human subjects. Results: In both validation studies, the RMSEs of the extracted motion trajectories from PICCS-4DCBCT images are less than 0.7 mm, and their MaxEs are less than 1 mm, for all three directions. In comparison, FBP-4DCBCT shows considerably larger RMSEs in the physical phantom based validation. PICCS-4DCBCT also shows insensitivity to the breathing period in the 4DCT based validation. For thein vivo human subject study, high quality 3D motion trajectory of the tumor was obtained from PICCS-4DCBCT images and showed consistency with visual observation. Conclusions: These results demonstrate accurate delineation of tumor motion trajectory can be achieved using PICCS-4DCBCT and the standard 1-min data acquisition. Purpose: As a counterpart of 4DCT in the treatment planning stage of radiotherapy treatment, 4D cone beam computed tomography (4DCBCT) method has been proposed to verify tumor motion trajectories before radiation therapy treatment delivery. Besides 4DCBCT acquisition using slower gantry rotation speed or multiple rotations, a new method using the prior image constrained compressed sensing (PICCS) image reconstruction method and the standard 1-min data acquisition were proposed. In this paper, the PICCS-4DCBCT method was combined with deformable registration to validate its capability in motion trajectory extraction using physical phantom data, simulated human subject data from 4DCT and in vivo human subject data. Methods: Two methods were used to validate PICCS-4DCBCT for the purpose of respiratory motion delineation. The standard 1-min gantry rotation Cone Beam CT acquisition was used for both methods. In the first method, 4DCBCT projection data of a physical motion phantom were acquired using an on-board CBCT acquisition system (Varian Medical Systems, Palo Alto, CA). Using a deformable registration method, the object motion trajectories were extracted from both FBP and PICCS reconstructed 4DCBCT images, and compared against the programmed motion trajectories. In the second method, using a clinical 4DCT dataset, Cone Beam CT projections were simulated by forward projection. Using a deformable registration method, the tumor motion trajectories were extracted from the reconstructed 4DCT and PICCS-4DCBCT images. The performance of PICCS-4DCBCT is assessed against the 4DCT ground truth. The breathing period was varied in the simulation to study its effect on motion extraction. For both validation methods, the root mean square error (RMSE) and the maximum of the errors (MaxE) were used to quantify the accuracy of the extracted motion trajectories. After the validation, a clinical dataset was used to demonstrate the motion delineation capability of PICCS-4DCBCT for human subjects. Results: In both validation studies, the RMSEs of the extracted motion trajectories from PICCS-4DCBCT images are less than 0.7 mm, and their MaxEs are less than 1 mm, for all three directions. In comparison, FBP-4DCBCT shows considerably larger RMSEs in the physical phantom based validation. PICCS-4DCBCT also shows insensitivity to the breathing period in the 4DCT based validation. For the in vivo human subject study, high quality 3D motion trajectory of the tumor was obtained from PICCS-4DCBCT images and showed consistency with visual observation. Conclusions: These results demonstrate accurate delineation of tumor motion trajectory can be achieved using PICCS-4DCBCT and the standard 1-min data acquisition. |
| Author | Qi, Zhihua Chen, Guang-Hong |
| Author_xml | – sequence: 1 givenname: Zhihua surname: Qi fullname: Qi, Zhihua organization: Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, 53705 – sequence: 2 givenname: Guang-Hong surname: Chen fullname: Chen, Guang-Hong email: gchen7@wisc.edu organization: Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, 53792; Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin 53792; and Department of Human Oncology, University of Wisconsin-Madison, Madison, Wisconsin, 53792 |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/21992371$$D View this record in MEDLINE/PubMed https://www.osti.gov/biblio/22098644$$D View this record in Osti.gov |
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| Keywords | image guided radiation therapy four-dimensional cone beam CT tumor motion trajectory |
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| Notes | Author to whom correspondence should be addressed. Electronic mail gchen7@wisc.edu ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Author to whom correspondence should be addressed. Electronic mail: gchen7@wisc.edu |
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| Publisher | American Association of Physicists in Medicine |
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| References | Keall (c4) 2004; 14 Chang (c9) 2006; 33 Thirion (c39) 1998; 2 Li (c11) 2006; 33 Pan (c5) 2004; 31 Kessler (c38) 2006; 79 Lu (c17) 2007; 34 Szczykutowicz, Chen (c30) 2010; 55 Leng (c24) 2008; 35 Kriminski (c7) 2005; 50 Zhang, Orton, Tome (c45) 2005; 32 Sonke (c8) 2005; 32 Bergner (c20) 2010; 37 Lu (c44) 2006; 51 Chen (c29) 2009; 7258 Low (c2) 2003; 30 Li, Koong, Xing (c14) 2007; 34 Ford (c1) 2003; 30 Lu (c43) 2004; 49 Siddon (c46) 1985; 12 Bergner (c18) 2009; 36 Zhang (c26) 2010; 37 Purdie (c19) 2006; 45 Case (c23) 2010; 77 Feldkamp, Davis, Kress (c34) 1984; 1 Andersen, Kak (c35) 1984; 6 Li, Xing (c15) 2007; 67 Ramirez-Giraldo (c32) 2011; 38 Vedam (c3) 2003; 48 Chen, Tang, Leng (c31) 2008; 35 Rietzel, Pan, Chen (c6) 2005; 32 Sonke (c13) 2009; 74 Bissonnette (c21) 2009; 75 Dietrich (c10) 2006; 51 Wang (c40) 2005; 50 Horn, Schunck (c41) 1981; 17 Brock (c42) 2005; 32 Case (c22) 2009; 75 Rit (c27) 2009; 36 Leng (c33) 2008; 53 Park (c12) 2011; 38 Sonke, Lebesque, van Herk (c16) 2008; 70 Rit, S. 2009; 36 Bergner, F. 2009; 36 Wang, H. 2005; 50 Szczykutowicz, T.; Chen, G.-H. 2010; 55 Rietzel, E.; Pan, T.; Chen, G.T.Y. 2005; 32 Low, D. 2003; 30 Pan, T. 2004; 31 Case, R. 2010; 77 Chen, G.-H.; Tang, J.; Leng, S. 2008; 35 Li, T.; Koong, A.; Xing, L. 2007; 34 Chen, G.-H. 2009; 7258 Keall, P. 2004; 14 Horn, B.; Schunck, B. 1981; 17 Li, T.; Xing, L. 2007; 67 Sonke, J.-J.; Lebesque, J.; van Herk, M. 2008; 70 Zhang, T.; Orton, N.; Tome, W. 2005; 32 Kriminski, S. 2005; 50 Siddon, R. 1985; 12 Lu, W. 2004; 49 Zhang, Q. 2010; 37 Lu, W. 2006; 51 Kessler, M. 2006; 79 Thirion, J. 1998; 2 Andersen, A.; Kak, A. 1984; 6 Bissonnette, J.-P. 2009; 75 Chang, J. 2006; 33 Lu, J. 2007; 34 Park, J. 2011; 38 Bergner, F. 2010; 37 Vedam, S. 2003; 48 Leng, S. 2008; 35 Sonke, J.-J. 2005; 32 Leng, S. 2008; 53 Brock, K. 2005; 32 Ford, E.C. 2003; 30 Ramirez-Giraldo, J. 2011; 38 Purdie, T. 2006; 45 Case, R. 2009; 75 Dietrich, L. 2006; 51 Li, T. 2006; 33 Feldkamp, L.; Davis, L.; Kress, J. 1984; 1 Sonke, J.-J. 2009; 74 2010; 77 2010; 55 2010; 37 2006; 51 2011 2006; 79 2004; 49 2006; 33 2008 2008; 35 2004 1992 2008; 53 2011; 38 2008; 70 2003; 30 2007; 34 2009; 36 2004; 31 2009; 74 2009; 75 2006; 45 1984; 1 2004; 14 1984; 6 2003; 48 2005; 32 1998; 2 1981; 17 2005; 50 2009; 7258 1985; 12 2007; 67 14752736 - Semin Radiat Oncol. 2004 Jan;14(1):81-90 15895601 - Med Phys. 2005 Apr;32(4):1176-86 19610317 - Med Phys. 2009 Jun;36(6):2283-96 17197125 - Int J Radiat Oncol Biol Phys. 2007 Mar 15;67(4):1211-9 20964224 - Med Phys. 2010 Sep;37(9):5044-53 15000619 - Med Phys. 2004 Feb;31(2):333-40 19046825 - Int J Radiat Oncol Biol Phys. 2009 Jun 1;74(2):567-74 20938070 - Phys Med Biol. 2010 Nov 7;55(21):6411-29 16982558 - Acta Oncol. 2006;45(7):915-22 18812650 - Phys Med Biol. 2008 Oct 21;53(20):5653-73 15930609 - Phys Med Biol. 2005 Jun 21;50(12):2887-905 16723776 - Phys Med Biol. 2006 Jun 7;51(11):2939-52 4000088 - Med Phys. 1985 Mar-Apr;12(2):252-5 12852551 - Med Phys. 2003 Jun;30(6):1254-63 18383687 - Med Phys. 2008 Feb;35(2):660-3 19724658 - Proc SPIE Int Soc Opt Eng. 2008 Mar 3;6856:685618 17926972 - Med Phys. 2007 Sep;34(9):3688-95 16912386 - Phys Med Biol. 2006 Sep 7;51(17):4357-74 15895570 - Med Phys. 2005 Apr;32(4):874-89 17926955 - Med Phys. 2007 Sep;34(9):3520-9 20095282 - Med Phys. 2009 Dec;36(12):5695-706 20632601 - Med Phys. 2010 Jun;37(6):2901-9 19395200 - Int J Radiat Oncol Biol Phys. 2009 Nov 1;75(3):688-95 9873902 - Med Image Anal. 1998 Sep;2(3):243-60 21626949 - Med Phys. 2011 Apr;38(4):2157-67 15357182 - Phys Med Biol. 2004 Jul 21;49(14):3067-87 19628342 - Int J Radiat Oncol Biol Phys. 2009 Sep 1;75(1):302-8 16013724 - Med Phys. 2005 Jun;32(6):1647-59 17089847 - Med Phys. 2006 Oct;33(10):3825-33 16370433 - Med Phys. 2005 Nov;32(11):3493-502 21452740 - Med Phys. 2011 Feb;38(2):1028-36 18975711 - Med Phys. 2008 Oct;35(10):4649-59 18037579 - Int J Radiat Oncol Biol Phys. 2008 Feb 1;70(2):590-8 16980689 - Br J Radiol. 2006 Sep;79 Spec No 1:S99-108 16898437 - Med Phys. 2006 Jul;33(7):2354-61 12564500 - Phys Med Biol. 2003 Jan 7;48(1):45-62 12557983 - Med Phys. 2003 Jan;30(1):88-97 20207501 - Int J Radiat Oncol Biol Phys. 2010 Jul 1;77(3):918-25 6548059 - Ultrason Imaging. 1984 Jan;6(1):81-94 16264252 - Phys Med Biol. 2005 Nov 21;50(22):5263-80 |
| References_xml | – volume: 30 start-page: 88 year: 2003 ident: c1 article-title: Respiration-correlated spiral CT: A method of measuring respiratory-induced anatomic motion for radiation treatment planning publication-title: Med. Phys. – volume: 2 start-page: 243 year: 1998 ident: c39 article-title: Image matching as a diffusion process: an analogy with Maxwell’s demons publication-title: Med. Image Anal. – volume: 32 start-page: 1647 year: 2005 ident: c42 article-title: Accuracy of finite element model-based multi-organ deformable image registration publication-title: Med. Phys. – volume: 48 start-page: 45 year: 2003 ident: c3 article-title: Acquiring a Four-Dimensional Computed Tomography Dataset Using an External Respiratory Signal publication-title: Phys. Med. Biol. – volume: 14 start-page: 81 year: 2004 ident: c4 article-title: 4-dimensional computed tomography imaging and treatment planning publication-title: Semin. Radiat. Oncol. – volume: 33 start-page: 2354 year: 2006 ident: c9 article-title: Integrating respiratory gating into a megavoltage cone-beam CT system publication-title: Med. Phys. – volume: 36 start-page: 2283 year: 2009 ident: c27 article-title: On-the-fly motion-compensated cone-beam CT using an a priori model of the respiratory motion publication-title: Med. Phys. – volume: 31 start-page: 333 year: 2004 ident: c5 article-title: 4D-CT imaging of a volume influenced by respiratory motion on multi-slice CT publication-title: Med. Phys. – volume: 79 start-page: S99 year: 2006 ident: c38 article-title: Image registration and data fusion in radiation therapy publication-title: Br. J. Radiol. – volume: 75 start-page: 302 year: 2009 ident: c22 article-title: Inter- and intrafraction variability in liver position in non-breath-hold stereotactic body radiotherapy publication-title: Int. J. Radiat. Oncol., Biol., Phys. – volume: 35 start-page: 4649 year: 2008 ident: c24 article-title: Streaking artifacts reduction in four-dimensional cone-beam computed tomography publication-title: Med. Phys. – volume: 17 start-page: 185 year: 1981 ident: c41 article-title: Determining optical flow publication-title: Artif. Intell. – volume: 37 start-page: 5044 year: 2010 ident: c20 article-title: An investigation of 4D cone-beam CT algorithms for slowly rotating scanners publication-title: Med. Phys. – volume: 50 start-page: 5263 year: 2005 ident: c7 article-title: Respiratory correlated cone-beam computed tomography on an isocentric C-arm publication-title: Phys. Med. Biol. – volume: 38 start-page: 2157 year: 2011 ident: c32 article-title: Nonconvex prior image constrained compressed sensing (NCPICCS): Theory and simulations on perfusion CT publication-title: Med. Phys. – volume: 77 start-page: 918 year: 2010 ident: c23 article-title: Interfraction and intrafraction changes in amplitude of breathing motion in stereotactic liver radiotherapy publication-title: Int. J. Radiat. Oncol., Biol., Phys. – volume: 49 start-page: 3067 year: 2004 ident: c43 article-title: Fast free-form deformable registration via calculus of variations publication-title: Phys. Med. Biol. – volume: 75 start-page: 688 year: 2009 ident: c21 article-title: Quantifying interfraction and intrafraction tumor motion in lung stereotactic body radiotherapy using respiration-correlated cone beam computed tomography publication-title: Int. J. Radiat. Oncol., Biol., Phys. – volume: 1 start-page: 612 year: 1984 ident: c34 article-title: Practical cone-beam algorithm publication-title: J. Opt. Soc. Am. A – volume: 35 start-page: 660 year: 2008 ident: c31 article-title: Prior image constrained compressed sensing (PICCS): A method to accurately reconstruct dynamic CT images from highly undersampled projection data sets publication-title: Med. Phys. – volume: 67 start-page: 1211 year: 2007 ident: c15 article-title: Optimizing 4D cone-beam CT acquisition protocol for external beam radiotherapy publication-title: Int. J. Radiat. Oncol., Biol., Phys. – volume: 36 start-page: 5695 year: 2009 ident: c18 article-title: Autoadaptive phase-correlated (AAPC) reconstruction for 4D CBCT publication-title: Med. Phys. – volume: 70 start-page: 590 year: 2008 ident: c16 article-title: Variability of four-dimensional computed tomography patient models publication-title: Int. J. Radiat. Oncol., Biol., Phys. – volume: 12 start-page: 252 year: 1985 ident: c46 article-title: Fast calculation of the exact radiological path for a three-dimensional CT array publication-title: Med. Phys. – volume: 7258 start-page: 72580C year: 2009 ident: c29 article-title: High temporal resolution cardiac cone-beam CT using a slowly rotating C-arm gantry publication-title: Proc. SPIE – volume: 34 start-page: 3688 year: 2007 ident: c14 article-title: Enhanced 4D cone-beam CT with inter-phase motion model publication-title: Med. Phys. – volume: 51 start-page: 2939 year: 2006 ident: c10 article-title: Linac-integrated 4D cone beam CT: first experimental results publication-title: Phys. Med. Biol. – volume: 30 start-page: 1254 year: 2003 ident: c2 article-title: A Method for the Reconstruction of Four-Dimensional Synchronized CT Scans Acquired During Free Breathing publication-title: Med. Phys. – volume: 50 start-page: 2887 year: 2005 ident: c40 article-title: Validation of an accelerated “demons” algorithm for deformable image registration in radiation therapy publication-title: Phys. Med. Biol. – volume: 33 start-page: 3825 year: 2006 ident: c11 article-title: Four-dimensional cone-beam computed tomography using an on-board imager publication-title: Med. Phys. – volume: 51 start-page: 4357 year: 2006 ident: c44 article-title: Deformable registration of the planning image (kVCT) and the daily images (MVCT) for adaptive radiation therapy publication-title: Phys. Med. Biol. – volume: 6 start-page: 81 year: 1984 ident: c35 article-title: Simultaneous algebraic reconstruction technique (SART): A superior implementation of the ART algorithm publication-title: Ultrason. Imaging – volume: 55 start-page: 6411 year: 2010 ident: c30 article-title: Dual Energy CT Using Slow kVp Switching Acquisition and Prior Image Constrained Compressed Sensing publication-title: Phys. Med. Biol. – volume: 32 start-page: 1176 year: 2005 ident: c8 article-title: Respiratory correlated cone beam CT publication-title: Med. Phys. – volume: 32 start-page: 3493 year: 2005 ident: c45 article-title: On the automated definition of mobile target volumes from 4D-CT images for stereotactic body radiotherapy publication-title: Med. Phys. – volume: 53 start-page: 5653 year: 2008 ident: c33 article-title: High temporal resolution and streak-free four-dimensional cone-beam computed tomography publication-title: Phys. Med. Biol. – volume: 45 start-page: 915 year: 2006 ident: c19 article-title: Respiration correlated cone-beam computed tomography and 4DCT for evaluating target motion in stereotactic lung radiation therapy publication-title: Acta Oncol. – volume: 32 start-page: 874 year: 2005 ident: c6 article-title: Four-dimensional computed tomography: Image formation and clinical protocol publication-title: Med. Phys. – volume: 37 start-page: 2901 year: 2010 ident: c26 article-title: Correction of motion artifacts in cone-beam CT using a patient-specific respiratory motion model publication-title: Med. Phys. – volume: 74 start-page: 567 year: 2009 ident: c13 article-title: Frameless Stereotactic Body Radiotherapy for Lung Cancer Using Four-Dimensional Cone Beam CT Guidance publication-title: Int. J. Radiat. Oncol., Biol., Phys. – volume: 38 start-page: 1028 year: 2011 ident: c12 article-title: Four-dimensional cone-beam computed tomography and digital tomosynthesis reconstructions using respiratory signals extracted from transcutaneously inserted metal markers for liver SBRT publication-title: Med. Phys. – volume: 34 start-page: 3520 year: 2007 ident: c17 article-title: Four-dimensional cone beam CT with adaptive gantry rotation and adaptive data sampling publication-title: Med. Phys. – volume: 75 start-page: 302-308 year: 2009 publication-title: Int. J. Radiat. Oncol., Biol., Phys. doi: 10.1016/j.ijrobp.2009.03.058 – volume: 32 start-page: 1647-1659 year: 2005 publication-title: Med. Phys. doi: 10.1118/1.1915012 – volume: 30 start-page: 88-97 year: 2003 publication-title: Med. Phys. doi: 10.1118/1.1531177 – volume: 32 start-page: 874-889 year: 2005 publication-title: Med. Phys. doi: 10.1118/1.1869852 – volume: 75 start-page: 688-695 year: 2009 publication-title: Int. J. Radiat. Oncol., Biol., Phys. doi: 10.1016/j.ijrobp.2008.11.066 – volume: 30 start-page: 1254-1263 year: 2003 publication-title: Med. Phys. doi: 10.1118/1.1576230 – volume: 33 start-page: 2354-2361 year: 2006 publication-title: Med. Phys. doi: 10.1118/1.2207136 – volume: 34 start-page: 3520-3529 year: 2007 publication-title: Med. Phys. doi: 10.1118/1.2767145 – volume: 12 start-page: 252-255 year: 1985 publication-title: Med. Phys. doi: 10.1118/1.595715 – volume: 38 start-page: 1028-1036 year: 2011 publication-title: Med. Phys. doi: 10.1118/1.3544369 – volume: 77 start-page: 918-925 year: 2010 publication-title: Int. J. Radiat. Oncol., Biol., Phys. doi: 10.1016/j.ijrobp.2009.09.008 – volume: 79 start-page: S99-S108 year: 2006 publication-title: Br. J. Radiol. doi: 10.1259/bjr/70617164 – volume: 17 start-page: 185-203 year: 1981 publication-title: Artif. Intell. doi: 10.1016/0004-3702(81)90024-2 – volume: 31 start-page: 333-340 year: 2004 publication-title: Med. Phys. doi: 10.1118/1.1639993 – volume: 51 start-page: 4357-4374 year: 2006 publication-title: Phys. Med. Biol. doi: 10.1088/0031-9155/51/17/015 – volume: 37 start-page: 2901-2909 year: 2010 publication-title: Med. Phys. doi: 10.1118/1.3397460 – volume: 2 start-page: 243-260 year: 1998 publication-title: Med. Image Anal. doi: 10.1016/S1361-8415(98)80022-4 – volume: 53 start-page: 5653 year: 2008 publication-title: Phys. Med. Biol. doi: 10.1088/0031-9155/53/20/006 – volume: 67 start-page: 1211-1219 year: 2007 publication-title: Int. J. Radiat. Oncol., Biol., Phys. doi: 10.1016/j.ijrobp.2006.10.024 – volume: 48 start-page: 45-62 year: 2003 publication-title: Phys. Med. Biol. doi: 10.1088/0031-9155/48/1/304 – volume: 7258 start-page: 72580C year: 2009 publication-title: Proc. SPIE doi: 10.1117/12.813810 – volume: 74 start-page: 567-574 year: 2009 publication-title: Int. J. Radiat. Oncol., Biol., Phys. doi: 10.1016/j.ijrobp.2008.08.004 – volume: 35 start-page: 660-663 year: 2008 publication-title: Med. Phys. doi: 10.1118/1.2836423 – volume: 14 start-page: 81-90 year: 2004 publication-title: Semin. Radiat. Oncol. doi: 10.1053/j.semradonc.2003.10.006 – volume: 50 start-page: 5263-5680 year: 2005 publication-title: Phys. Med. Biol. doi: 10.1088/0031-9155/50/22/004 – volume: 34 start-page: 3688-3695 year: 2007 publication-title: Med. Phys. doi: 10.1118/1.2767144 – volume: 6 start-page: 81-94 year: 1984 publication-title: Ultrason. Imaging doi: 10.1016/0161-7346(84)90008-7 – volume: 70 start-page: 590-598 year: 2008 publication-title: Int. J. Radiat. Oncol., Biol., Phys. doi: 10.1016/j.ijrobp.2007.08.067 – volume: 32 start-page: 1176-1186 year: 2005 publication-title: Med. Phys. doi: 10.1118/1.1869074 – volume: 36 start-page: 2283-2296 year: 2009 publication-title: Med. Phys. doi: 10.1118/1.3115691 – volume: 35 start-page: 4649-4659 year: 2008 publication-title: Med. Phys. doi: 10.1118/1.2977736 – volume: 37 start-page: 5044-5053 year: 2010 publication-title: Med. Phys. doi: 10.1118/1.3480986 – volume: 50 start-page: 2887-2905 year: 2005 publication-title: Phys. Med. Biol. doi: 10.1088/0031-9155/50/12/011 – volume: 33 start-page: 3825-3833 year: 2006 publication-title: Med. Phys. doi: 10.1118/1.2349692 – volume: 1 start-page: 612-619 year: 1984 publication-title: J. Opt. Soc. Am. A doi: 10.1364/JOSAA.1.000612 – volume: 45 start-page: 915-922 year: 2006 publication-title: Acta Oncol. doi: 10.1080/02841860600907345 – volume: 49 start-page: 3067-3087 year: 2004 publication-title: Phys. Med. Biol. doi: 10.1088/0031-9155/49/14/003 – volume: 55 start-page: 6411-6429 year: 2010 publication-title: Phys. Med. Biol. doi: 10.1088/0031-9155/55/21/005 – volume: 51 start-page: 2939-2952 year: 2006 publication-title: Phys. Med. Biol. doi: 10.1088/0031-9155/51/11/017 – volume: 36 start-page: 5695-5706 year: 2009 publication-title: Med. Phys. doi: 10.1118/1.3260919 – volume: 38 start-page: 2157-2167 year: 2011 publication-title: Med. Phys. doi: 10.1118/1.3560878 – volume: 32 start-page: 3493-3502 year: 2005 publication-title: Med. Phys. doi: 10.1118/1.2106448 – volume: 51 start-page: 4357 issue: 17 year: 2006 end-page: 4374 article-title: Deformable registration of the planning image (kVCT) and the daily images (MVCT) for adaptive radiation therapy publication-title: Phys. Med. Biol. – volume: 50 start-page: 2887 issue: 12 year: 2005 end-page: 2905 article-title: Validation of an accelerated “demons” algorithm for deformable image registration in radiation therapy publication-title: Phys. Med. Biol. – volume: 31 start-page: 333 issue: 2 year: 2004 end-page: 340 article-title: 4D‐CT imaging of a volume influenced by respiratory motion on multi‐slice CT publication-title: Med. Phys. – volume: 38 start-page: 1028 issue: 2 year: 2011 end-page: 1036 article-title: Four‐dimensional cone‐beam computed tomography and digital tomosynthesis reconstructions using respiratory signals extracted from transcutaneously inserted metal markers for liver SBRT publication-title: Med. Phys. – volume: 34 start-page: 3520 issue: 9 year: 2007 end-page: 3529 article-title: Four‐dimensional cone beam CT with adaptive gantry rotation and adaptive data sampling publication-title: Med. Phys. – volume: 30 start-page: 1254 issue: 6 year: 2003 end-page: 1263 article-title: A Method for the Reconstruction of Four‐Dimensional Synchronized CT Scans Acquired During Free Breathing publication-title: Med. Phys. – volume: 37 start-page: 5044 issue: 9 year: 2010 end-page: 5053 article-title: An investigation of 4D cone‐beam CT algorithms for slowly rotating scanners publication-title: Med. Phys. – volume: 35 start-page: 660 issue: 2 year: 2008 end-page: 663 article-title: Prior image constrained compressed sensing (PICCS): A method to accurately reconstruct dynamic CT images from highly undersampled projection data sets publication-title: Med. Phys. – volume: 37 start-page: 2901 issue: 6 year: 2010 end-page: 2909 article-title: Correction of motion artifacts in cone‐beam CT using a patient‐specific respiratory motion model publication-title: Med. Phys. – volume: 12 start-page: 252 issue: 2 year: 1985 end-page: 255 article-title: Fast calculation of the exact radiological path for a three‐dimensional CT array publication-title: Med. Phys. – volume: 48 start-page: 45 issue: 1 year: 2003 end-page: 62 article-title: Acquiring a Four‐Dimensional Computed Tomography Dataset Using an External Respiratory Signal publication-title: Phys. Med. Biol. – volume: 36 start-page: 2283 issue: 6 year: 2009 end-page: 2296 article-title: On‐the‐fly motion‐compensated cone‐beam CT using an a priori model of the respiratory motion publication-title: Med. Phys. – volume: 35 start-page: 4649 issue: 10 year: 2008 end-page: 4659 article-title: Streaking artifacts reduction in four‐dimensional cone‐beam computed tomography publication-title: Med. Phys. – volume: 50 start-page: 5263 issue: 22 year: 2005 end-page: 5680 article-title: Respiratory correlated cone‐beam computed tomography on an isocentric C‐arm publication-title: Phys. Med. Biol. – volume: 2 start-page: 243 issue: 3 year: 1998 end-page: 260 article-title: Image matching as a diffusion process: an analogy with Maxwell's demons publication-title: Med. Image Anal. – volume: 33 start-page: 2354 issue: 7 year: 2006 end-page: 2361 article-title: Integrating respiratory gating into a megavoltage cone‐beam CT system publication-title: Med. Phys. – volume: 74 start-page: 567 issue: 2 year: 2009 end-page: 574 article-title: Frameless Stereotactic Body Radiotherapy for Lung Cancer Using Four‐Dimensional Cone Beam CT Guidance publication-title: Int. J. Radiat. Oncol., Biol., Phys. – volume: 77 start-page: 918 issue: 3 year: 2010 end-page: 925 article-title: Interfraction and intrafraction changes in amplitude of breathing motion in stereotactic liver radiotherapy publication-title: Int. J. Radiat. Oncol., Biol., Phys. – volume: 6 start-page: 81 issue: 1 year: 1984 end-page: 94 article-title: Simultaneous algebraic reconstruction technique (SART): A superior implementation of the ART algorithm publication-title: Ultrason. Imaging – year: 1992 – volume: 34 start-page: 3688 issue: 9 year: 2007 end-page: 3695 article-title: Enhanced 4D cone‐beam CT with inter‐phase motion model publication-title: Med. Phys. – volume: 36 start-page: 5695 issue: 12 year: 2009 end-page: 5706 article-title: Autoadaptive phase‐correlated (AAPC) reconstruction for 4D CBCT publication-title: Med. Phys. – volume: 7258 start-page: 72580C year: 2009 article-title: High temporal resolution cardiac cone‐beam CT using a slowly rotating C‐arm gantry publication-title: Proc. SPIE – volume: 49 start-page: 3067 issue: 14 year: 2004 end-page: 3087 article-title: Fast free‐form deformable registration via calculus of variations publication-title: Phys. Med. Biol. – volume: 67 start-page: 1211 issue: 4 year: 2007 end-page: 1219 article-title: Optimizing 4D cone‐beam CT acquisition protocol for external beam radiotherapy publication-title: Int. J. Radiat. Oncol., Biol., Phys. – volume: 79 start-page: S99 issue: 1 year: 2006 end-page: S108 article-title: Image registration and data fusion in radiation therapy publication-title: Br. J. Radiol. – volume: 32 start-page: 1647 issue: 6 year: 2005 end-page: 1659 article-title: Accuracy of finite element model‐based multi‐organ deformable image registration publication-title: Med. Phys. – volume: 51 start-page: 2939 issue: 11 year: 2006 end-page: 2952 article-title: Linac‐integrated 4D cone beam CT: first experimental results publication-title: Phys. Med. Biol. – volume: 55 start-page: 6411 issue: 21 year: 2010 end-page: 6429 article-title: Dual Energy CT Using Slow kVp Switching Acquisition and Prior Image Constrained Compressed Sensing publication-title: Phys. Med. Biol. – volume: 53 start-page: 5653 issue: 20 year: 2008 article-title: High temporal resolution and streak‐free four‐dimensional cone‐beam computed tomography publication-title: Phys. Med. Biol. – volume: 30 start-page: 88 issue: 1 year: 2003 end-page: 97 article-title: Respiration‐correlated spiral CT: A method of measuring respiratory‐induced anatomic motion for radiation treatment planning publication-title: Med. Phys. – volume: 17 start-page: 185 issue: 1–3 year: 1981 end-page: 203 article-title: Determining optical flow publication-title: Artif. Intell. – start-page: 79612U year: 2011 article-title: Proc. SPIE – volume: 14 start-page: 81 issue: 1 year: 2004 end-page: 90 article-title: 4‐dimensional computed tomography imaging and treatment planning publication-title: Semin. Radiat. Oncol. – volume: 75 start-page: 688 issue: 3 year: 2009 end-page: 695 article-title: Quantifying interfraction and intrafraction tumor motion in lung stereotactic body radiotherapy using respiration‐correlated cone beam computed tomography publication-title: Int. J. Radiat. Oncol., Biol., Phys. – volume: 1 start-page: 612 issue: 6 year: 1984 end-page: 619 article-title: Practical cone‐beam algorithm publication-title: J. Opt. Soc. Am. A – volume: 45 start-page: 915 issue: 7 year: 2006 end-page: 922 article-title: Respiration correlated cone‐beam computed tomography and 4DCT for evaluating target motion in stereotactic lung radiation therapy publication-title: Acta Oncol. – year: 2008 – volume: 38 start-page: 2157 issue: 4 year: 2011 end-page: 2167 article-title: Nonconvex prior image constrained compressed sensing (NCPICCS): Theory and simulations on perfusion CT publication-title: Med. Phys. – year: 2004 – volume: 32 start-page: 1176 issue: 4 year: 2005 end-page: 1186 article-title: Respiratory correlated cone beam CT publication-title: Med. Phys. – volume: 75 start-page: 302 issue: 1 year: 2009 end-page: 308 article-title: Inter‐ and intrafraction variability in liver position in non‐breath‐hold stereotactic body radiotherapy publication-title: Int. J. Radiat. Oncol., Biol., Phys. – volume: 32 start-page: 3493 issue: 11 year: 2005 end-page: 3502 article-title: On the automated definition of mobile target volumes from 4D‐CT images for stereotactic body radiotherapy publication-title: Med. Phys. – volume: 70 start-page: 590 issue: 2 year: 2008 end-page: 598 article-title: Variability of four‐dimensional computed tomography patient models publication-title: Int. J. Radiat. Oncol., Biol., Phys. – volume: 32 start-page: 874 issue: 4 year: 2005 end-page: 889 article-title: Four‐dimensional computed tomography: Image formation and clinical protocol publication-title: Med. Phys. – volume: 33 start-page: 3825 issue: 10 year: 2006 end-page: 3833 article-title: Four‐dimensional cone‐beam computed tomography using an on‐board imager publication-title: Med. Phys. – reference: 16980689 - Br J Radiol. 2006 Sep;79 Spec No 1:S99-108 – reference: 20632601 - Med Phys. 2010 Jun;37(6):2901-9 – reference: 18975711 - Med Phys. 2008 Oct;35(10):4649-59 – reference: 12852551 - Med Phys. 2003 Jun;30(6):1254-63 – reference: 16898437 - Med Phys. 2006 Jul;33(7):2354-61 – reference: 20938070 - Phys Med Biol. 2010 Nov 7;55(21):6411-29 – reference: 19046825 - Int J Radiat Oncol Biol Phys. 2009 Jun 1;74(2):567-74 – reference: 18383687 - Med Phys. 2008 Feb;35(2):660-3 – reference: 19628342 - Int J Radiat Oncol Biol Phys. 2009 Sep 1;75(1):302-8 – reference: 17926972 - Med Phys. 2007 Sep;34(9):3688-95 – reference: 18037579 - Int J Radiat Oncol Biol Phys. 2008 Feb 1;70(2):590-8 – reference: 16370433 - Med Phys. 2005 Nov;32(11):3493-502 – reference: 16264252 - Phys Med Biol. 2005 Nov 21;50(22):5263-80 – reference: 12557983 - Med Phys. 2003 Jan;30(1):88-97 – reference: 15895570 - Med Phys. 2005 Apr;32(4):874-89 – reference: 15895601 - Med Phys. 2005 Apr;32(4):1176-86 – reference: 21452740 - Med Phys. 2011 Feb;38(2):1028-36 – reference: 19395200 - Int J Radiat Oncol Biol Phys. 2009 Nov 1;75(3):688-95 – reference: 19724658 - Proc SPIE Int Soc Opt Eng. 2008 Mar 3;6856:685618 – reference: 19610317 - Med Phys. 2009 Jun;36(6):2283-96 – reference: 4000088 - Med Phys. 1985 Mar-Apr;12(2):252-5 – reference: 15930609 - Phys Med Biol. 2005 Jun 21;50(12):2887-905 – reference: 15357182 - Phys Med Biol. 2004 Jul 21;49(14):3067-87 – reference: 12564500 - Phys Med Biol. 2003 Jan 7;48(1):45-62 – reference: 6548059 - Ultrason Imaging. 1984 Jan;6(1):81-94 – reference: 15000619 - Med Phys. 2004 Feb;31(2):333-40 – reference: 14752736 - Semin Radiat Oncol. 2004 Jan;14(1):81-90 – reference: 16013724 - Med Phys. 2005 Jun;32(6):1647-59 – reference: 16912386 - Phys Med Biol. 2006 Sep 7;51(17):4357-74 – reference: 9873902 - Med Image Anal. 1998 Sep;2(3):243-60 – reference: 21626949 - Med Phys. 2011 Apr;38(4):2157-67 – reference: 18812650 - Phys Med Biol. 2008 Oct 21;53(20):5653-73 – reference: 20095282 - Med Phys. 2009 Dec;36(12):5695-706 – reference: 17926955 - Med Phys. 2007 Sep;34(9):3520-9 – reference: 17197125 - Int J Radiat Oncol Biol Phys. 2007 Mar 15;67(4):1211-9 – reference: 16982558 - Acta Oncol. 2006;45(7):915-22 – reference: 20207501 - Int J Radiat Oncol Biol Phys. 2010 Jul 1;77(3):918-25 – reference: 20964224 - Med Phys. 2010 Sep;37(9):5044-53 – reference: 16723776 - Phys Med Biol. 2006 Jun 7;51(11):2939-52 – reference: 17089847 - Med Phys. 2006 Oct;33(10):3825-33 |
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As a counterpart of 4DCT in the treatment planning stage of radiotherapy treatment, 4D cone beam computed tomography (4DCBCT) method has been proposed... As a counterpart of 4DCT in the treatment planning stage of radiotherapy treatment, 4D cone beam computed tomography (4DCBCT) method has been proposed to... Purpose: As a counterpart of 4DCT in the treatment planning stage of radiotherapy treatment, 4D cone beam computed tomography (4DCBCT) method has been proposed... |
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| SubjectTerms | ACCURACY Algorithms BEAMS Cancer Computed tomography Computer Simulation computerised tomography COMPUTERIZED TOMOGRAPHY Cone beam computed tomography Cone-Beam Computed Tomography - methods DATA ACQUISITION DELIVERY ERRORS EXTRACTION FOUR-DIMENSIONAL CALCULATIONS Four-Dimensional Computed Tomography - methods four-dimensional cone beam CT GROUND TRUTH MEASUREMENTS Humans image guided radiation therapy IMAGE PROCESSING image reconstruction image registration Imaging, Three-Dimensional IN VIVO mean square error methods Medical image artifacts medical image processing Medical image quality Medical image reconstruction Medical imaging Models, Statistical Motion NEOPLASMS Neoplasms - diagnostic imaging Neoplasms - pathology Numerical approximation and analysis PHANTOMS Phantoms, Imaging PLANNING pneumodynamics Radiation Imaging Physics RADIATION PROTECTION AND DOSIMETRY radiation therapy Radiographic Image Interpretation, Computer-Assisted - methods RADIOLOGY AND NUCLEAR MEDICINE RADIOTHERAPY Radiotherapy Planning, Computer-Assisted - methods Reconstruction Registration Reproducibility of Results RESPIRATION SIMULATION Time Factors Treatment planning tumor motion trajectory tumours X‐ray imaging |
| Title | Extraction of tumor motion trajectories using PICCS-4DCBCT: A validation study |
| URI | http://dx.doi.org/10.1118/1.3637501 https://onlinelibrary.wiley.com/doi/abs/10.1118%2F1.3637501 https://www.ncbi.nlm.nih.gov/pubmed/21992371 https://www.proquest.com/docview/898504225 https://www.osti.gov/biblio/22098644 https://pubmed.ncbi.nlm.nih.gov/PMC3195374 |
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