Evaluation of the OSC‐TV iterative reconstruction algorithm for cone‐beam optical CT
Purpose: The present work evaluates an iterative reconstruction approach, namely, the ordered subsets convex (OSC) algorithm with regularization via total variation (TV) minimization in the field of cone‐beam optical computed tomography (optical CT). One of the uses of optical CT is gel‐based 3D dos...
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| Published in: | Medical physics (Lancaster) Vol. 42; no. 11; pp. 6376 - 6386 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
American Association of Physicists in Medicine
01.11.2015
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| ISSN: | 0094-2405, 2473-4209, 2473-4209 |
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| Abstract | Purpose:
The present work evaluates an iterative reconstruction approach, namely, the ordered subsets convex (OSC) algorithm with regularization via total variation (TV) minimization in the field of cone‐beam optical computed tomography (optical CT). One of the uses of optical CT is gel‐based 3D dosimetry for radiation therapy, where it is employed to map dose distributions in radiosensitive gels. Model‐based iterative reconstruction may improve optical CT image quality and contribute to a wider use of optical CT in clinical gel dosimetry.
Methods:
This algorithm was evaluated using experimental data acquired by a cone‐beam optical CT system, as well as complementary numerical simulations. A fast GPU implementation of OSC‐TV was used to achieve reconstruction times comparable to those of conventional filtered backprojection. Images obtained via OSC‐TV were compared with the corresponding filtered backprojections. Spatial resolution and uniformity phantoms were scanned and respective reconstructions were subject to evaluation of the modulation transfer function, image uniformity, and accuracy. The artifacts due to refraction and total signal loss from opaque objects were also studied.
Results:
The cone‐beam optical CT data reconstructions showed that OSC‐TV outperforms filtered backprojection in terms of image quality, thanks to a model‐based simulation of the photon attenuation process. It was shown to significantly improve the image spatial resolution and reduce image noise. The accuracy of the estimation of linear attenuation coefficients remained similar to that obtained via filtered backprojection. Certain image artifacts due to opaque objects were reduced. Nevertheless, the common artifact due to the gel container walls could not be eliminated.
Conclusions:
The use of iterative reconstruction improves cone‐beam optical CT image quality in many ways. The comparisons between OSC‐TV and filtered backprojection presented in this paper demonstrate that OSC‐TV can potentially improve the rendering of spatial features and reduce cone‐beam optical CT artifacts. |
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| AbstractList | Purpose: The present work evaluates an iterative reconstruction approach, namely, the ordered subsets convex (OSC) algorithm with regularization via total variation (TV) minimization in the field of cone-beam optical computed tomography (optical CT). One of the uses of optical CT is gel-based 3D dosimetry for radiation therapy, where it is employed to map dose distributions in radiosensitive gels. Model-based iterative reconstruction may improve optical CT image quality and contribute to a wider use of optical CT in clinical gel dosimetry. Methods: This algorithm was evaluated using experimental data acquired by a cone-beam optical CT system, as well as complementary numerical simulations. A fast GPU implementation of OSC-TV was used to achieve reconstruction times comparable to those of conventional filtered backprojection. Images obtained via OSC-TV were compared with the corresponding filtered backprojections. Spatial resolution and uniformity phantoms were scanned and respective reconstructions were subject to evaluation of the modulation transfer function, image uniformity, and accuracy. The artifacts due to refraction and total signal loss from opaque objects were also studied. Results: The cone-beam optical CT data reconstructions showed that OSC-TV outperforms filtered backprojection in terms of image quality, thanks to a model-based simulation of the photon attenuation process. It was shown to significantly improve the image spatial resolution and reduce image noise. The accuracy of the estimation of linear attenuation coefficients remained similar to that obtained via filtered backprojection. Certain image artifacts due to opaque objects were reduced. Nevertheless, the common artifact due to the gel container walls could not be eliminated. Conclusions: The use of iterative reconstruction improves cone-beam optical CT image quality in many ways. The comparisons between OSC-TV and filtered backprojection presented in this paper demonstrate that OSC-TV can potentially improve the rendering of spatial features and reduce cone-beam optical CT artifacts. The present work evaluates an iterative reconstruction approach, namely, the ordered subsets convex (OSC) algorithm with regularization via total variation (TV) minimization in the field of cone-beam optical computed tomography (optical CT). One of the uses of optical CT is gel-based 3D dosimetry for radiation therapy, where it is employed to map dose distributions in radiosensitive gels. Model-based iterative reconstruction may improve optical CT image quality and contribute to a wider use of optical CT in clinical gel dosimetry. This algorithm was evaluated using experimental data acquired by a cone-beam optical CT system, as well as complementary numerical simulations. A fast GPU implementation of OSC-TV was used to achieve reconstruction times comparable to those of conventional filtered backprojection. Images obtained via OSC-TV were compared with the corresponding filtered backprojections. Spatial resolution and uniformity phantoms were scanned and respective reconstructions were subject to evaluation of the modulation transfer function, image uniformity, and accuracy. The artifacts due to refraction and total signal loss from opaque objects were also studied. The cone-beam optical CT data reconstructions showed that OSC-TV outperforms filtered backprojection in terms of image quality, thanks to a model-based simulation of the photon attenuation process. It was shown to significantly improve the image spatial resolution and reduce image noise. The accuracy of the estimation of linear attenuation coefficients remained similar to that obtained via filtered backprojection. Certain image artifacts due to opaque objects were reduced. Nevertheless, the common artifact due to the gel container walls could not be eliminated. The use of iterative reconstruction improves cone-beam optical CT image quality in many ways. The comparisons between OSC-TV and filtered backprojection presented in this paper demonstrate that OSC-TV can potentially improve the rendering of spatial features and reduce cone-beam optical CT artifacts. Purpose: The present work evaluates an iterative reconstruction approach, namely, the ordered subsets convex (OSC) algorithm with regularization via total variation (TV) minimization in the field of cone‐beam optical computed tomography (optical CT). One of the uses of optical CT is gel‐based 3D dosimetry for radiation therapy, where it is employed to map dose distributions in radiosensitive gels. Model‐based iterative reconstruction may improve optical CT image quality and contribute to a wider use of optical CT in clinical gel dosimetry. Methods: This algorithm was evaluated using experimental data acquired by a cone‐beam optical CT system, as well as complementary numerical simulations. A fast GPU implementation of OSC‐TV was used to achieve reconstruction times comparable to those of conventional filtered backprojection. Images obtained via OSC‐TV were compared with the corresponding filtered backprojections. Spatial resolution and uniformity phantoms were scanned and respective reconstructions were subject to evaluation of the modulation transfer function, image uniformity, and accuracy. The artifacts due to refraction and total signal loss from opaque objects were also studied. Results: The cone‐beam optical CT data reconstructions showed that OSC‐TV outperforms filtered backprojection in terms of image quality, thanks to a model‐based simulation of the photon attenuation process. It was shown to significantly improve the image spatial resolution and reduce image noise. The accuracy of the estimation of linear attenuation coefficients remained similar to that obtained via filtered backprojection. Certain image artifacts due to opaque objects were reduced. Nevertheless, the common artifact due to the gel container walls could not be eliminated. Conclusions: The use of iterative reconstruction improves cone‐beam optical CT image quality in many ways. The comparisons between OSC‐TV and filtered backprojection presented in this paper demonstrate that OSC‐TV can potentially improve the rendering of spatial features and reduce cone‐beam optical CT artifacts. The present work evaluates an iterative reconstruction approach, namely, the ordered subsets convex (OSC) algorithm with regularization via total variation (TV) minimization in the field of cone-beam optical computed tomography (optical CT). One of the uses of optical CT is gel-based 3D dosimetry for radiation therapy, where it is employed to map dose distributions in radiosensitive gels. Model-based iterative reconstruction may improve optical CT image quality and contribute to a wider use of optical CT in clinical gel dosimetry.PURPOSEThe present work evaluates an iterative reconstruction approach, namely, the ordered subsets convex (OSC) algorithm with regularization via total variation (TV) minimization in the field of cone-beam optical computed tomography (optical CT). One of the uses of optical CT is gel-based 3D dosimetry for radiation therapy, where it is employed to map dose distributions in radiosensitive gels. Model-based iterative reconstruction may improve optical CT image quality and contribute to a wider use of optical CT in clinical gel dosimetry.This algorithm was evaluated using experimental data acquired by a cone-beam optical CT system, as well as complementary numerical simulations. A fast GPU implementation of OSC-TV was used to achieve reconstruction times comparable to those of conventional filtered backprojection. Images obtained via OSC-TV were compared with the corresponding filtered backprojections. Spatial resolution and uniformity phantoms were scanned and respective reconstructions were subject to evaluation of the modulation transfer function, image uniformity, and accuracy. The artifacts due to refraction and total signal loss from opaque objects were also studied.METHODSThis algorithm was evaluated using experimental data acquired by a cone-beam optical CT system, as well as complementary numerical simulations. A fast GPU implementation of OSC-TV was used to achieve reconstruction times comparable to those of conventional filtered backprojection. Images obtained via OSC-TV were compared with the corresponding filtered backprojections. Spatial resolution and uniformity phantoms were scanned and respective reconstructions were subject to evaluation of the modulation transfer function, image uniformity, and accuracy. The artifacts due to refraction and total signal loss from opaque objects were also studied.The cone-beam optical CT data reconstructions showed that OSC-TV outperforms filtered backprojection in terms of image quality, thanks to a model-based simulation of the photon attenuation process. It was shown to significantly improve the image spatial resolution and reduce image noise. The accuracy of the estimation of linear attenuation coefficients remained similar to that obtained via filtered backprojection. Certain image artifacts due to opaque objects were reduced. Nevertheless, the common artifact due to the gel container walls could not be eliminated.RESULTSThe cone-beam optical CT data reconstructions showed that OSC-TV outperforms filtered backprojection in terms of image quality, thanks to a model-based simulation of the photon attenuation process. It was shown to significantly improve the image spatial resolution and reduce image noise. The accuracy of the estimation of linear attenuation coefficients remained similar to that obtained via filtered backprojection. Certain image artifacts due to opaque objects were reduced. Nevertheless, the common artifact due to the gel container walls could not be eliminated.The use of iterative reconstruction improves cone-beam optical CT image quality in many ways. The comparisons between OSC-TV and filtered backprojection presented in this paper demonstrate that OSC-TV can potentially improve the rendering of spatial features and reduce cone-beam optical CT artifacts.CONCLUSIONSThe use of iterative reconstruction improves cone-beam optical CT image quality in many ways. The comparisons between OSC-TV and filtered backprojection presented in this paper demonstrate that OSC-TV can potentially improve the rendering of spatial features and reduce cone-beam optical CT artifacts. |
| Author | Matenine, Dmitri Mascolo‐Fortin, Julia Després, Philippe Goussard, Yves |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/26520729$$D View this record in MEDLINE/PubMed https://www.osti.gov/biblio/22482385$$D View this record in Osti.gov |
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| References | 2010; 55 2009; 25 2000; 27 2011 2010 2013; 40 2006; 14 2004; 3 1983; 10 2008; 35 2011; 56 2001; 28 2007; 52 2012; 57 2008; 70 1995; 4 2001; 46 2003; 30 1990; 1351 2013; 58 1984; 1 2015; 42 1984; 8 2015; 573 2012; 49 2009; 164 1985; 12 e_1_2_7_6_1 e_1_2_7_5_1 e_1_2_7_4_1 e_1_2_7_3_1 e_1_2_7_9_1 e_1_2_7_8_1 e_1_2_7_7_1 e_1_2_7_18_1 e_1_2_7_17_1 e_1_2_7_16_1 e_1_2_7_2_1 e_1_2_7_15_1 e_1_2_7_14_1 e_1_2_7_13_1 e_1_2_7_12_1 e_1_2_7_11_1 e_1_2_7_10_1 e_1_2_7_26_1 e_1_2_7_27_1 e_1_2_7_28_1 e_1_2_7_29_1 Sidky E. Y. (e_1_2_7_19_1) 2006; 14 Lange K. (e_1_2_7_20_1) 1984; 8 e_1_2_7_25_1 e_1_2_7_31_1 e_1_2_7_24_1 e_1_2_7_32_1 e_1_2_7_23_1 Ebbing D. (e_1_2_7_30_1) 2010 e_1_2_7_33_1 e_1_2_7_22_1 e_1_2_7_34_1 e_1_2_7_21_1 |
| References_xml | – volume: 40 start-page: 061712 (12pp.) year: 2013 article-title: A prototype fan‐beam optical CT scanner for 3D dosimetry publication-title: Med. Phys. – year: 2011 – volume: 42 start-page: 1505 year: 2015 end-page: 1517 article-title: GPU‐accelerated regularized iterative reconstruction for few‐view cone beam CT publication-title: Med. Phys. – volume: 46 start-page: 1835 year: 2001 end-page: 1844 article-title: Ordered subset reconstruction for x‐ray CT publication-title: Phys. Med. Biol. – volume: 58 start-page: R63 year: 2013 end-page: R96 article-title: Modelling the physics in the iterative reconstruction for transmission computed tomography publication-title: Phys. Med. Biol. – volume: 8 start-page: 306 year: 1984 end-page: 316 article-title: EM reconstruction algorithms for emission and transmission tomography publication-title: J. Comput. Assisted Tomogr. – volume: 35 start-page: 101 year: 2008 end-page: 111 article-title: Fast, high‐resolution 3D dosimetry utilizing a novel optical‐CT scanner incorporating tertiary telecentric collimation publication-title: Med. Phys. – volume: 4 start-page: 1430 year: 1995 end-page: 1438 article-title: Globally convergent algorithms for maximum transmission tomography publication-title: IEEE Trans. Image Process. – volume: 70 start-page: 1281 year: 2008 end-page: 1291 article-title: Three‐dimensional dose verification for intensity‐modulated radiation therapy in the radiological physics centre head‐and‐neck phantom using optical computed tomography scans of ferrous xylenol‐orange gel dosimeters publication-title: Int. J. Radiat. Oncol., Biol., Phys. – volume: 55 start-page: 2819 year: 2010 end-page: 2840 article-title: Cone beam optical computed tomography for gel dosimetry I: Scanner characterization publication-title: Phys. Med. Biol. – volume: 52 start-page: 3693 year: 2007 end-page: 3713 article-title: Characterization of a parallel‐beam CCD optical‐CT apparatus for 3D radiation dosimetry publication-title: Phys. Med. Biol. – year: 2010 – volume: 164 start-page: 012020 year: 2009 article-title: The history and principles of optical computed tomography for scanning 3‐D radiation dosimeters: 2008 update publication-title: J. Phys.: Conf. Ser. – volume: 3 start-page: 115 year: 2004 end-page: 121 article-title: Advances in optical CT scanning for gel dosimetry publication-title: J. Phys.: Conf. Ser. – volume: 12 start-page: 252 year: 1985 end-page: 255 article-title: Fast calculation of the exact radiological path length for a three‐dimension CT array publication-title: Med. Phys. – volume: 573 start-page: 12076 year: 2015 end-page: 12079 article-title: Computational simulations of the influence of noise in optical CT reconstruction publication-title: J. Phys.: Conf. Ser. – volume: 57 start-page: 665 year: 2012 end-page: 683 article-title: Eliminating the need for refractive index matching in optical CT scanners for radiotherapy dosimetry: I. Concept and simulations publication-title: Phys. Med. Biol. – volume: 14 start-page: 119 year: 2006 end-page: 139 article-title: Accurate image reconstruction from few‐views and limited‐angle data in divergent‐beam CT publication-title: J. X‐Ray Sci. Technol. – volume: 55 start-page: R1 year: 2010 end-page: R63 article-title: Polymer gel dosimetry publication-title: Phys. Med. Biol. – volume: 27 start-page: 1311 year: 2000 end-page: 1323 article-title: Cone‐beam computed tomography with a flat‐panel imager: Initial performance characterization publication-title: Med. Phys. – volume: 1 start-page: 612 year: 1984 end-page: 619 article-title: Practical cone‐beam algorithm publication-title: J. Opt. Soc. Am. A – volume: 1351 start-page: 270 year: 1990 end-page: 287 article-title: Overview of Bayesian methods in image reconstruction publication-title: Proc. SPIE – volume: 28 start-page: 1436 year: 2001 end-page: 1445 article-title: High resolution gel‐dosimetry by optical‐CT and MR scanning publication-title: Med. Phys. – volume: 25 start-page: 123009 year: 2009 article-title: Why do commercial CT scanners still employ traditional, filtered back‐projection for image reconstruction? publication-title: Inverse Probl. – volume: 10 start-page: 579 year: 1983 end-page: 581 article-title: Evaluation of the spatial resolution of a CT scanner by direct analysis of the edge response function publication-title: Med. Phys. – volume: 30 start-page: 623 year: 2003 end-page: 634 article-title: Optical‐CT gel‐dosimetry I: Basic investigations publication-title: Med. Phys. – volume: 56 start-page: 1259 year: 2011 end-page: 1279 article-title: Cone‐beam optical computed tomography for gel dosimetry II: Imaging protocols publication-title: Phys. Med. Biol. – volume: 164 start-page: 012001 year: 2009 article-title: Where does gel dosimetry fit in the clinic? publication-title: J. Phys.: Conf. Ser. – volume: 49 start-page: S231 year: 2012 end-page: S236 article-title: Feasibility of radiochromic gels for 3D dosimetry of brachytherapy sources publication-title: Metrologia – volume: 40 start-page: 051701 (8pp.) year: 2013 article-title: On the feasibility of optical‐CT imaging in media of different refractive index publication-title: Med. Phys. – ident: e_1_2_7_34_1 – ident: e_1_2_7_3_1 doi: 10.1088/1742‐6596/164/1/012001 – ident: e_1_2_7_27_1 doi: 10.1118/1.1380430 – ident: e_1_2_7_24_1 doi: 10.1118/1.595715 – ident: e_1_2_7_5_1 doi: 10.1088/0031‐9155/55/5/R01 – ident: e_1_2_7_22_1 doi: 10.1109/83.465107 – ident: e_1_2_7_12_1 doi: 10.1118/1.4805111 – ident: e_1_2_7_10_1 doi: 10.1088/0031‐9155/52/13/003 – ident: e_1_2_7_25_1 – ident: e_1_2_7_23_1 doi: 10.1088/0031‐9155/46/7/307 – ident: e_1_2_7_8_1 doi: 10.1016/j.ijrobp.2007.11.032 – ident: e_1_2_7_6_1 doi: 10.1088/1742‐6596/164/1/012020 – ident: e_1_2_7_9_1 doi: 10.1118/1.2804616 – ident: e_1_2_7_14_1 doi: 10.1118/1.4798980 – ident: e_1_2_7_17_1 doi: 10.1088/0031‐9155/58/12/R63 – volume: 14 start-page: 119 year: 2006 ident: e_1_2_7_19_1 article-title: Accurate image reconstruction from few‐views and limited‐angle data in divergent‐beam CT publication-title: J. X‐Ray Sci. Technol. – ident: e_1_2_7_7_1 doi: 10.1088/1742‐6596/3/1/010 – ident: e_1_2_7_15_1 doi: 10.1088/0031‐9155/57/3/665 – ident: e_1_2_7_13_1 doi: 10.1364/JOSAA.1.000612 – ident: e_1_2_7_32_1 doi: 10.1088/1742‐6596/573/1/012076 – volume: 8 start-page: 306 year: 1984 ident: e_1_2_7_20_1 article-title: EM reconstruction algorithms for emission and transmission tomography publication-title: J. Comput. Assisted Tomogr. – ident: e_1_2_7_4_1 doi: 10.1088/0026‐1394/49/5/S231 – ident: e_1_2_7_28_1 doi: 10.1088/0031‐9155/56/5/003 – ident: e_1_2_7_2_1 doi: 10.1118/1.1559835 – volume-title: General Chemistry year: 2010 ident: e_1_2_7_30_1 – ident: e_1_2_7_21_1 doi: 10.1117/12.23640 – ident: e_1_2_7_29_1 doi: 10.1118/1.595328 – ident: e_1_2_7_33_1 doi: 10.1118/1.599009 – ident: e_1_2_7_26_1 – ident: e_1_2_7_16_1 doi: 10.1088/0266‐5611/25/12/123009 – ident: e_1_2_7_11_1 doi: 10.1088/0031‐9155/55/10/003 – ident: e_1_2_7_18_1 doi: 10.1118/1.4914143 – ident: e_1_2_7_31_1 |
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The present work evaluates an iterative reconstruction approach, namely, the ordered subsets convex (OSC) algorithm with regularization via total... The present work evaluates an iterative reconstruction approach, namely, the ordered subsets convex (OSC) algorithm with regularization via total variation... Purpose: The present work evaluates an iterative reconstruction approach, namely, the ordered subsets convex (OSC) algorithm with regularization via total... |
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| StartPage | 6376 |
| SubjectTerms | 60 APPLIED LIFE SCIENCES ACCURACY ALGORITHMS ATTENUATION BEAMS Biological material, e.g. blood, urine; Haemocytometers biomedical optical imaging Computed tomography Computerised tomographs computerised tomography COMPUTERIZED SIMULATION COMPUTERIZED TOMOGRAPHY Cone beam computed tomography Cone-Beam Computed Tomography - instrumentation Cone-Beam Computed Tomography - methods cone‐beam reconstruction Digital computing or data processing equipment or methods, specially adapted for specific applications DOSIMETRY GELS Image data processing or generation, in general image denoising Image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image image reconstruction Imaging, Three-Dimensional - methods ITERATIVE METHODS iterative reconstruction medical image processing Medical image quality Medical image reconstruction Modulation transfer functions optical CT PHANTOMS Phantoms, Imaging RADIATION DOSE DISTRIBUTIONS Radiographic Image Enhancement - methods Radiographic Image Interpretation, Computer-Assisted - methods Radiometry - methods RADIOTHERAPY Reproducibility of Results Sensitivity and Specificity SPATIAL RESOLUTION Tomography, Optical - instrumentation Tomography, Optical - methods total variation minimization TRANSFER FUNCTIONS Visual imaging |
| Title | Evaluation of the OSC‐TV iterative reconstruction algorithm for cone‐beam optical CT |
| URI | https://onlinelibrary.wiley.com/doi/abs/10.1118%2F1.4931604 https://www.ncbi.nlm.nih.gov/pubmed/26520729 https://www.proquest.com/docview/1729348815 https://www.osti.gov/biblio/22482385 |
| Volume | 42 |
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