GPU-based 3D cone-beam CT image reconstruction: Application to micro CT

IEEE Nuclear Science Symposium Conference Record

Volumn 5, Issue , 2007, Pages 3922-3925

  Zhao, Xing ^b   Bian, Junguo ^a,c   Sidky, Emil Y ^c   Cho, Seungryong ^a,c   Zhang, Peng ^b   Pan, Xiaochuan ^a,c  

^a IEEE

^b CAPITAL NORMAL UNIVERSITY   (China)

^c UNIVERSITY OF CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

3D IMAGES; BEAM SCANS; CIRCULAR CONES; COMPUTATION TIMES; FDK ALGORITHMS; GRAPHIC PROCESSING UNITS; RECONSTRUCTION PROCESSES; TOMOGRAPHIC IMAGE RECONSTRUCTIONS;

COMPUTATIONAL EFFICIENCY; COMPUTERIZED TOMOGRAPHY; ELECTRIC INSTRUMENT TRANSFORMERS; IMAGE PROCESSING; IMAGE RECONSTRUCTION; MEDICAL IMAGING; REPAIR; RESTORATION;

THREE DIMENSIONAL;

EID: 48349116279     PISSN: 10957863     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NSSMIC.2007.4436976     Document Type: Conference Paper

References (4)

1. B. Cabral, N. Cam, and J. Foran, "Accelerated volume rendering and tomographic reconstruction using texture mapping hardware," in Symposium on Volume Visualization. New York, 1994, pp. 91-98.
2. K. Mueller, F. Xu, and N. Neophytou, "Why do GPUs work so well for acceleration of CT?," in SPIE Electronic Imaging '07 (Keynote, Computational Imaging V).San Jose, CA, 2007.
3. F. Xu and K. Mueller, "Accelerating popular tomographic reconstruction algorithms on commodity PC graphics hardware," IEEE Trans. Med. Imaging, vol. 52, pp. 654-663, 2005.
4. L. A. Feldkamp, L. C. Davis, and J. W. Kress, "Practical cone-beam algorithm," J. Opt. Soc. Am., vol. A1, pp. 612-619, 1984.