Simple ROI cone-beam computed tomography

IEEE Nuclear Science Symposium Conference Record

Volumn , Issue , 2010, Pages 3161-3168

  Maass, Clemens ^a   Knaup, Michael ^a   Sawall, Stefan ^a   Kachelriess, Marc ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

Computed Tomography (CT); Region of interest imaging; spatial resolution

Indexed keywords

COMPUTATIONAL LOADS; COMPUTED TOMOGRAPHY; CONE-BEAM COMPUTED TOMOGRAPHY; DATA FILTERING; DETECTOR ELEMENTS; FIELD OF MEASUREMENTS; GOLD STANDARDS; HIGH FREQUENCY; HIGH RESOLUTION; HIGH RESOLUTION DATA; LOW RESOLUTION; NOVEL METHODS; PARTIAL VOLUME EFFECT; REGION OF INTEREST; ROI RECONSTRUCTION; SPATIAL RESOLUTION; TRUNCATED PROJECTIONS; WEIGHTING METHODS; X-RAY CT;

GAMMA RAYS; GOLD; IMAGE QUALITY; IMAGE RECONSTRUCTION; IMAGE RESOLUTION; MEDICAL IMAGING; NUCLEAR PHYSICS; RADIOLOGY; STANDARDS; TOMOGRAPHY;

COMPUTERIZED TOMOGRAPHY;

EID: 79960361466     PISSN: 10957863     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NSSMIC.2010.5874385     Document Type: Conference Paper

References (26)

1. C. Penßel, W. Kalender, and M. Kachelrieß, "ROI-driven CT trajectories," IEEE Medical Imaging Conference Record, vol. 4, pp. 1969-1972, Oct. 2006.
2. D. Gentle and N. Spyrou, "Region of interest tomography in industrial applications," Nuclear Instruments and Methods in Physics Research, vol. A299, pp. 534-537, 1990.
3. S. Azevedo, P. Rizo, and P. Grangeat, "Region-of-interest cone-beam computed tomography," Lawrence Livermore National Lab., CA (United States), Tech. Rep., June 1995.
4. I. K. Chun, M. H. Cho, S. C. Lee, M. H. Cho, and S. Y. Lee, "X-ray micro-tomography for small-animal imaging with zoom-in imaging capability," Phys. Med. Biol., vol. 49, pp. 3889-3902, 2004.
5. J. Wiegert, M. Bertram, T. Netsch, J. Wulff, J. Weese, and G. Rose, "Projection extension for region of interest imaging in cone-beam CT," Academic Radiology, vol. 12, pp. 1010-1023, 2005.
6. S. Y. Lee, M. H. Cho, S. C. Lee, I. K. Chun, and J. J. Park, "Small animal x-ray micro-CT with zoom-in imaging capability," IEEE Medical Imaging Conference Record, pp. M14-156, 3102-3105, 2006.
7. L. Chen, Y. Shen, C.-J. Lai, T. Han, Y. Zhong, S. Ge, X. Liu, T. Wang, W. T. Yang, G. J. Whitman, and C. C. Shaw, "Dual resolution cone beam breast CT: A feasibility study," Med. Phys., vol. 36, no. 9, pp. 4007-4914, Sep. 2009.
8. D. Kolditz, Y. Kyriakou, and W. A. Kalender, "Volume-of-interest (VOI) imaging in C-arm flat-detector CT for high image quality at reduced dose," Med. Phys., vol. 37, no. 6, pp. 2719-2730, June 2010.
9. R. Lewitt, "Processing of incomplete measurement data in computed tomography," Med. Phys., vol. 6, no. 5, pp. 412-417, 1979.
10. D. Kadrmas, R. Jaszczak, J. McCormick, R. Colemen, and C. Lim, "Truncation artifact reduction in transmission CT for improved SPECT attenuation compensation," Phys. Med. Biol., vol. 40, pp. 1085-1104, 1995.
11. B. Ohnesorge, T. Flohr, K. Schwarz, J. Heiken, and K. Bae, "Efficient correction for CT image artifacts caused by objects extending outside the scan field of view," Med. Phys., vol. 27, no. 1, pp. 39-46, Jan. 2000.
12. J. Hsieh, E. Chao, J. Thibault, B. Grekowicz, A. Horst, S. McOlash, and T. Myers, "Algorithm to extend reconstruction field-of-view," IEEE International Symposium on Biomedical Imaging, pp. 1404-1407, Apr. 2004.
13. C. Penßel, M. Kachelrieß, and W. A. Kalender, "Hybrid detruncation HDT algorithm for the reconstruction of CT data," Radiology, vol. 233(P), p. 293, Nov. 2004.
14. K. Sourbelle, M. Kachelrieß, and W. A. Kalender, "Reconstruction from truncated projections in CT using adaptive detruncation," European Radiology, vol. 15, no. 5, pp. 1008-1014, May 2005.
15. X. Pan, Y. Zou, and D. Xia, "Peripheral and central ROI-image reconstruction from and data-redundancy exploitation in truncated fan-beam data," Med. Phys., vol. 32, no. 3, pp. 673-684, Mar. 2005.
16. M. Courdurier, F. Noo, M. Defrise, and H. Kudo, "Solving the interior problem of computed tomography using a priori knowledge," Inverse Problems, vol. 24, p. 065001, 2008.
17. H. Kudo, M. Coururier, F. Noo, and M. Defrise, "Tiny a priori knowledge solves the interior problem in computed tomography," Phys. Med. Biol., vol. 53, pp. 2207-2231, 2008.
18. X. Pan, E. Sidky, and M. Vannier, "Why do commercial CT scanners still employ traditional, filtered back-projection for image reconstruction?" Inverse Problems, vol. 25, no. 12, pp. 1-36, Dec. 2009.
19. H. Yu and G. Wang, "Compressed sensing based interior tomography," Phys. Med. Biol., vol. 54, pp. 2791-2805, 2009.
20. H. Yu, J. Yang, M. Jiang, and G. Wang, "Supplemental analysis on compressed sensing based interior tomography," Phys. Med. Biol., vol. 54, pp. N425-N432, 2009.
21. P. S. Cho, A. D. Rudd, and R. H. Johnson, "Cone-beam CT from width-truncated projections," Computerized Medical Imaging and Graphics, vol. 20, no. 1, pp. 49-57, 1996.
22. G.Wang, "X-ray micro-CT with a displaced detector array," Med. Phys., vol. 29, no. 7, pp. 1634-1636, Jul. 2002.
23. V. Liu, N. R. Lariviere, and G.Wang, "X-ray micro-CT with a displaced detector array: Application to helical cone-beam reconstruction," Med. Phys., vol. 30, no. 10, pp. 2758-2761, Oct. 2003.
24. C. Maaß, M. Knaup, R. Lapp, M. Karolczak, W. A. Kalender, and M. Kachelrieß, "A new weighting function to achieve high temporal resolution in circular cone-beam CT with shifted detectors," Med. Phys., vol. 35, no. 12, pp. 5898-5909, Dec. 2008.
25. D. L. Parker, "Optimal short scan convolution reconstruction for fanbeam CT," Med. Phys., vol. 9, no. 2, pp. 254-257, Mar./Apr. 1982.
26. "Phantom group," Institute of Medical Physics, Technical Report, 2009, www.imp.uni-erlangen.de/phantoms.