Multi-slice helical CT: Scan and reconstruction
The multi-slice CT scanner refers to a special CT system equipped with a multiple-row detector array to simultaneously collect data at different slice locations. The multi-slice CT scanner has the capability of rapidly scanning large longitudinal (z) volume with high z-axis resolution. It also prese...
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| Vydáno v: | Medical physics (Lancaster) Ročník 26; číslo 1; s. 5 - 18 |
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| Hlavní autor: | |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
United States
American Association of Physicists in Medicine
01.01.1999
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| Témata: | |
| ISSN: | 0094-2405, 2473-4209 |
| On-line přístup: | Získat plný text |
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| Abstract | The multi-slice CT scanner refers to a special CT system equipped with a multiple-row detector array to simultaneously collect data at different slice locations. The multi-slice CT scanner has the capability of rapidly scanning large longitudinal (z) volume with high z-axis resolution. It also presents new challenges and new characteristics. In this paper, we study the scan and reconstruction principles of the multi-slice helical CT in general and the 4-slice helical CT in particular. The multi-slice helical computed tomography consists of the following three key components: the preferred helical pitches for efficient z sampling in data collection and better artifact control; the new helical interpolation algorithms to correct for fast simultaneous patient translation; and the z-filtering reconstruction for providing multiple tradeoffs of the slice thickness, image noise and artifacts to suit for different application requirements. The concept of the preferred helical pitch is discussed with a newly proposed z sampling analysis. New helical reconstruction algorithms and z-filtering reconstruction are developed for multi-slice CT in general. Furthermore, the theoretical models of slice profile and image noise are established for multi-slice helical CT. For 4-slice helical CT in particular, preferred helical pitches are discussed. Special reconstruction algorithms are developed. Slice profiles, image noises, and artifacts of 4-slice helical CT are studied and compared with single slice helical CT. The results show that the slice profile, image artifacts, and noise exhibit performance peaks or valleys at certain helical pitches in the multi-slice CT, whereas in the single-slice CT the image noise remains unchanged and the slice profile and image artifacts steadily deteriorate with helical pitch. The study indicates that the 4-slice helical CT can provide equivalent image quality at 2 to 3 times the volume coverage speed of the single slice helical CT. |
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| AbstractList | The multi‐slice CT scanner refers to a special CT system equipped with a multiple‐row detector array to simultaneously collect data at different slice locations. The multi‐slice CT scanner has the capability of rapidly scanning large longitudinal (z) volume with high z‐axis resolution. It also presents new challenges and new characteristics. In this paper, we study the scan and reconstruction principles of the multi‐slice helical CT in general and the 4‐slice helical CT in particular. The multi‐slice helical computed tomography consists of the following three key components: the preferred helical pitches for efficient z sampling in data collection and better artifact control; the new helical interpolation algorithms to correct for fast simultaneous patient translation; and the z‐filtering reconstruction for providing multiple tradeoffs of the slice thickness, image noise and artifacts to suit for different application requirements. The concept of the preferred helical pitch is discussed with a newly proposed z sampling analysis. New helical reconstruction algorithms and z‐filtering reconstruction are developed for multi‐slice CT in general. Furthermore, the theoretical models of slice profile and image noise are established for multi‐slice helical CT. For 4‐slice helical CT in particular, preferred helical pitches are discussed. Special reconstruction algorithms are developed. Slice profiles, image noises, and artifacts of 4‐slice helical CT are studied and compared with single slice helical CT. The results show that the slice profile, image artifacts, and noise exhibit performance peaks or valleys at certain helical pitches in the multi‐slice CT, whereas in the single‐slice CT the image noise remains unchanged and the slice profile and image artifacts steadily deteriorate with helical pitch. The study indicates that the 4‐slice helical CT can provide equivalent image quality at 2 to 3 times the volume coverage speed of the single slice helical CT. The multi-slice CT scanner refers to a special CT system equipped with a multiple-row detector array to simultaneously collect data at different slice locations. The multi-slice CT scanner has the capability of rapidly scanning large longitudinal (z) volume with high z-axis resolution. It also presents new challenges and new characteristics. In this paper, we study the scan and reconstruction principles of the multi-slice helical CT in general and the 4-slice helical CT in particular. The multi-slice helical computed tomography consists of the following three key components: the preferred helical pitches for efficient z sampling in data collection and better artifact control; the new helical interpolation algorithms to correct for fast simultaneous patient translation; and the z-filtering reconstruction for providing multiple tradeoffs of the slice thickness, image noise and artifacts to suit for different application requirements. The concept of the preferred helical pitch is discussed with a newly proposed z sampling analysis. New helical reconstruction algorithms and z-filtering reconstruction are developed for multi-slice CT in general. Furthermore, the theoretical models of slice profile and image noise are established for multi-slice helical CT. For 4-slice helical CT in particular, preferred helical pitches are discussed. Special reconstruction algorithms are developed. Slice profiles, image noises, and artifacts of 4-slice helical CT are studied and compared with single slice helical CT. The results show that the slice profile, image artifacts, and noise exhibit performance peaks or valleys at certain helical pitches in the multi-slice CT, whereas in the single-slice CT the image noise remains unchanged and the slice profile and image artifacts steadily deteriorate with helical pitch. The study indicates that the 4-slice helical CT can provide equivalent image quality at 2 to 3 times the volume coverage speed of the single slice helical CT.The multi-slice CT scanner refers to a special CT system equipped with a multiple-row detector array to simultaneously collect data at different slice locations. The multi-slice CT scanner has the capability of rapidly scanning large longitudinal (z) volume with high z-axis resolution. It also presents new challenges and new characteristics. In this paper, we study the scan and reconstruction principles of the multi-slice helical CT in general and the 4-slice helical CT in particular. The multi-slice helical computed tomography consists of the following three key components: the preferred helical pitches for efficient z sampling in data collection and better artifact control; the new helical interpolation algorithms to correct for fast simultaneous patient translation; and the z-filtering reconstruction for providing multiple tradeoffs of the slice thickness, image noise and artifacts to suit for different application requirements. The concept of the preferred helical pitch is discussed with a newly proposed z sampling analysis. New helical reconstruction algorithms and z-filtering reconstruction are developed for multi-slice CT in general. Furthermore, the theoretical models of slice profile and image noise are established for multi-slice helical CT. For 4-slice helical CT in particular, preferred helical pitches are discussed. Special reconstruction algorithms are developed. Slice profiles, image noises, and artifacts of 4-slice helical CT are studied and compared with single slice helical CT. The results show that the slice profile, image artifacts, and noise exhibit performance peaks or valleys at certain helical pitches in the multi-slice CT, whereas in the single-slice CT the image noise remains unchanged and the slice profile and image artifacts steadily deteriorate with helical pitch. The study indicates that the 4-slice helical CT can provide equivalent image quality at 2 to 3 times the volume coverage speed of the single slice helical CT. The multi‐slice CT scanner refers to a special CT system equipped with a multiple‐row detector array to simultaneously collect data at different slice locations. The multi‐slice CT scanner has the capability of rapidly scanning large longitudinal ( z ) volume with high z ‐axis resolution. It also presents new challenges and new characteristics. In this paper, we study the scan and reconstruction principles of the multi‐slice helical CT in general and the 4‐slice helical CT in particular. The multi‐slice helical computed tomography consists of the following three key components: the preferred helical pitches for efficient z sampling in data collection and better artifact control; the new helical interpolation algorithms to correct for fast simultaneous patient translation; and the z ‐filtering reconstruction for providing multiple tradeoffs of the slice thickness, image noise and artifacts to suit for different application requirements. The concept of the preferred helical pitch is discussed with a newly proposed z sampling analysis. New helical reconstruction algorithms and z ‐filtering reconstruction are developed for multi‐slice CT in general. Furthermore, the theoretical models of slice profile and image noise are established for multi‐slice helical CT. For 4‐slice helical CT in particular, preferred helical pitches are discussed. Special reconstruction algorithms are developed. Slice profiles, image noises, and artifacts of 4‐slice helical CT are studied and compared with single slice helical CT. The results show that the slice profile, image artifacts, and noise exhibit performance peaks or valleys at certain helical pitches in the multi‐slice CT, whereas in the single‐slice CT the image noise remains unchanged and the slice profile and image artifacts steadily deteriorate with helical pitch. The study indicates that the 4‐slice helical CT can provide equivalent image quality at 2 to 3 times the volume coverage speed of the single slice helical CT. |
| Author | Hu, Hui |
| Author_xml | – sequence: 1 givenname: Hui surname: Hu fullname: Hu, Hui organization: General Electric Company, Applied Science Laboratory, Milwaukee, Wisconsin 53201-0414 |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/9949393$$D View this record in MEDLINE/PubMed |
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| CODEN | MPHYA6 |
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| Cites_doi | 10.1118/1.597774 10.1148/radiology.176.1.2353088 10.1118/1.597705 10.1118/1.598409 10.1118/1.596607 10.1118/1.597306 10.1118/1.596464 10.1364/JOSAA.1.000612 10.1148/radiology.185.2.1410356 10.1148/radiographics.14.4.7938775 10.1148/radiology.185.1.1523331 10.1117/12.273987 10.1118/1.596950 10.1002/sca.4950180807 10.1109/42.241876 10.1118/1.597706 |
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| Copyright | American Association of Physicists in Medicine 1999 American Association of Physicists in Medicine |
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| Keywords | z -filtering reconstruction multi-slice CT multi-slice helical interpolation algorithms the volume coverage speed performance preferred helical pitch theoretical models helical/spiral CT |
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| References | Wang, Lin, Cheng (r14) 1993; 12 Wang, Vannier (r23) 1994; 21 Crawford, King (r3) 1990; 17 Hu, Fox (r24) 1996; 23 Hsieh (r6) 1996; 23 Liang, Kruger (r10) 1996; 23 Wang, Vannier (r22) 1993; 20 Brink, Heiken, Balfe (r7) 1992; 185 Hu (r12) 1996; 18 Hu, Shen (r18) 1998; 25 Polacin, Kalender, Marchal (r5) 1992; 185 Brink, Heiken, Wang (r8) 1994; 14 Kalender, Seissler, Klotz (r4) 1990; 176 Kalender, Polacin (r21) 1991; 18 1991; 18 1993; 12 1996; 18 1992; 185 1990; 17 1993; 20 1994; 14 1996 1991 1990; 176 1996; 23 1998; 25 1994; 21 Kudo H. (e_1_2_1_14_1) 1991 Hu H. (e_1_2_1_21_1) 1996 e_1_2_1_7_1 e_1_2_1_8_1 e_1_2_1_20_1 e_1_2_1_5_1 e_1_2_1_6_1 e_1_2_1_3_1 e_1_2_1_12_1 e_1_2_1_23_1 e_1_2_1_4_1 e_1_2_1_13_1 e_1_2_1_24_1 e_1_2_1_10_1 e_1_2_1_2_1 e_1_2_1_11_1 e_1_2_1_22_1 e_1_2_1_16_1 e_1_2_1_17_1 e_1_2_1_25_1 e_1_2_1_15_1 e_1_2_1_9_1 e_1_2_1_18_1 e_1_2_1_19_1 |
| References_xml | – volume: 12 start-page: 486 year: 1993 ident: r14 article-title: A general cone-beam reconstruction algorithm publication-title: IEEE Trans. Med. Imaging – volume: 20 start-page: 1635 year: 1993 ident: r22 article-title: Helical CT image noise: Analytical results publication-title: Med. Phys. – volume: 185 start-page: 29 year: 1992 ident: r5 article-title: Evaluation of section sensitivity profiles and image noise in spiral CT publication-title: Radiology – volume: 18 start-page: 910 year: 1991 ident: r21 article-title: Physical performance characteristics of spiral CT scanning publication-title: Med. Phys. – volume: 23 start-page: 205 year: 1996 ident: r10 article-title: Dual-slice spiral versus single-slice spiral scanning: Comparison of the physical performance of two computed tomography scanners publication-title: Med. Phys. – volume: 17 start-page: 967 year: 1990 ident: r3 article-title: Computed tomography scanning with simultaneous patient translation publication-title: Med. Phys. – volume: 18 start-page: 572 year: 1996 ident: r12 article-title: An improved cone-beam reconstruction algorithm for the circular orbit publication-title: Scanning – volume: 21 start-page: 429 year: 1994 ident: r23 article-title: Longitudinal resolution in volumetric x-ray computerized tomography: Analytical comparison between conventional and helical computerized tomography publication-title: Med. Phys. – volume: 23 start-page: 1943 year: 1996 ident: r24 article-title: The effect of helical pitch and beam collimation on the lesion contrast and slice profile in helical CT imaging publication-title: Med. Phys. – volume: 23 start-page: 221 year: 1996 ident: r6 article-title: A general approach to the reconstruction of x-ray helical computed tomography publication-title: Med. Phys. – volume: 185 start-page: 469 year: 1992 ident: r7 article-title: Spiral CT: Decreased spatial resolution due to broadening of section-sensitivity profile publication-title: Radiology – volume: 176 start-page: 181 year: 1990 ident: r4 article-title: Spiral volumetric CT with single-breath-hold technique, continuous transport, and continuous scanner rotation publication-title: Radiology – volume: 25 start-page: 2130 year: 1998 ident: r18 article-title: Helical CT reconstruction with longitudinal filtration publication-title: Med. Phys. – volume: 14 start-page: 887 year: 1994 ident: r8 article-title: Helical CT: Principles and technical considerations publication-title: Radiographics – volume: 21 start-page: 429 year: 1994 end-page: 433 article-title: Longitudinal resolution in volumetric x‐ray computerized tomography: Analytical comparison between conventional and helical computerized tomography publication-title: Med. Phys. – year: 1991 article-title: Helical‐scan computed tomography using cone‐beam projections,” in publication-title: IEEE NSS/MIC – volume: 185 start-page: 29 year: 1992 end-page: 35 article-title: Evaluation of section sensitivity profiles and image noise in spiral CT publication-title: Radiology – volume: 23 start-page: 221 year: 1996 end-page: 229 article-title: A general approach to the reconstruction of x‐ray helical computed tomography publication-title: Med. Phys. – volume: 12 start-page: 486 year: 1993 end-page: 496 article-title: A general cone‐beam reconstruction algorithm publication-title: IEEE Trans. Med. Imaging – volume: 185 start-page: 469 year: 1992 end-page: 474 article-title: Spiral CT: Decreased spatial resolution due to broadening of section‐sensitivity profile publication-title: Radiology – volume: 23 start-page: 205 year: 1996 end-page: 220 article-title: Dual‐slice spiral versus single‐slice spiral scanning: Comparison of the physical performance of two computed tomography scanners publication-title: Med. Phys. – volume: 17 start-page: 967 year: 1990 end-page: 982 article-title: Computed tomography scanning with simultaneous patient translation publication-title: Med. Phys. – volume: 23 start-page: 1943 year: 1996 end-page: 1954 article-title: The effect of helical pitch and beam collimation on the lesion contrast and slice profile in helical CT imaging publication-title: Med. Phys. – volume: 176 start-page: 181 year: 1990 end-page: 183 article-title: Spiral volumetric CT with single‐breath‐hold technique, continuous transport, and continuous scanner rotation publication-title: Radiology – volume: 14 start-page: 887 year: 1994 end-page: 893 article-title: Helical CT: Principles and technical considerations publication-title: Radiographics – volume: 20 start-page: 1635 year: 1993 end-page: 1640 article-title: Helical CT image noise: Analytical results publication-title: Med. Phys. – start-page: 189 year: 1996 article-title: Helical reconstruction algorithm with user‐selectable section profile,” in publication-title: RSNA – volume: 18 start-page: 572 year: 1996 end-page: 581 article-title: An improved cone‐beam reconstruction algorithm for the circular orbit publication-title: Scanning – volume: 18 start-page: 910 year: 1991 end-page: 915 article-title: Physical performance characteristics of spiral CT scanning publication-title: Med. Phys. – volume: 25 start-page: 2130 year: 1998 article-title: Helical CT reconstruction with longitudinal filtration publication-title: Med. Phys. – ident: e_1_2_1_25_1 doi: 10.1118/1.597774 – ident: e_1_2_1_5_1 doi: 10.1148/radiology.176.1.2353088 – ident: e_1_2_1_11_1 doi: 10.1118/1.597705 – ident: e_1_2_1_19_1 doi: 10.1118/1.598409 – ident: e_1_2_1_22_1 doi: 10.1118/1.596607 – ident: e_1_2_1_24_1 doi: 10.1118/1.597306 – ident: e_1_2_1_17_1 – ident: e_1_2_1_4_1 doi: 10.1118/1.596464 – ident: e_1_2_1_3_1 – year: 1991 ident: e_1_2_1_14_1 article-title: Helical‐scan computed tomography using cone‐beam projections,” in publication-title: IEEE NSS/MIC – start-page: 189 year: 1996 ident: e_1_2_1_21_1 article-title: Helical reconstruction algorithm with user‐selectable section profile,” in publication-title: RSNA – ident: e_1_2_1_12_1 doi: 10.1364/JOSAA.1.000612 – ident: e_1_2_1_2_1 – ident: e_1_2_1_20_1 – ident: e_1_2_1_8_1 doi: 10.1148/radiology.185.2.1410356 – ident: e_1_2_1_9_1 doi: 10.1148/radiographics.14.4.7938775 – ident: e_1_2_1_6_1 doi: 10.1148/radiology.185.1.1523331 – ident: e_1_2_1_16_1 doi: 10.1117/12.273987 – ident: e_1_2_1_23_1 doi: 10.1118/1.596950 – ident: e_1_2_1_18_1 – ident: e_1_2_1_13_1 doi: 10.1002/sca.4950180807 – ident: e_1_2_1_15_1 doi: 10.1109/42.241876 – ident: e_1_2_1_10_1 – ident: e_1_2_1_7_1 doi: 10.1118/1.597706 |
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| Snippet | The multi-slice CT scanner refers to a special CT system equipped with a multiple-row detector array to simultaneously collect data at different slice... The multi‐slice CT scanner refers to a special CT system equipped with a multiple‐row detector array to simultaneously collect data at different slice... |
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| SubjectTerms | Algorithms Automatic Data Processing Computed radiography Computed tomography Computer Simulation computerised tomography Detector arrays helical/spiral CT Humans Image analysis Image Processing, Computer-Assisted image reconstruction interpolation Linear Models Medical image artifacts Medical image noise medical image processing Medical image quality Medical image reconstruction Medical imaging Models, Theoretical Multislice computed tomography Multivariate Analysis multi‐slice CT multi‐slice helical interpolation algorithms preferred helical pitch Sensitivity and Specificity Single slice computed tomography the volume coverage speed performance theoretical models Tomography Scanners, X-Ray Computed Tomography, X-Ray Computed - methods z‐filtering reconstruction |
| Title | Multi-slice helical CT: Scan and reconstruction |
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