No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
Feasibility of volume-of-interest (VOI) scanning technique in cone beam breast CT—a preliminary study
1.ACS, “American Cancer Society Cancer Facts and Figures” (1998).
2.L. Baker, “Breast cancer detection demonstration project: Five-year summary report,” Ca-Cancer J. Clin. 32, 194–225 (1982).
3.L. W. Bassett, D. H. Bunnell, R. Jahanshahi, R. H. Gold, R. D. Arndt, and J. Linsman, “Breast cancer detection: One versus two views,” Radiology 165, 95–97 (1987).
4.F. Adair, J. Berg, L. Joubert, and G. Robbins, “Long-term followup of breast cancer patients,” Cancer 33, 1145–1150 (1974).
5.A. Verbeek, J. Hendriks, R. Holland, M. Mravunac, F. Sturmans, and N. Day, “Reduction of breast cancer mortality through mass screening with modern mammography,” Lancet 1, 1222–1224 (1984).
6.R. Bird, T. Wallace, and B. Yankaskas, “Analysis of cancers missed at screening mammography,” Radiology 184, 613–617 (1992).
8.R. Ning, B. Chen, D. Conover, L. McHugh, J. Cullinan, and R. Yu, “Flat panel detector-based cone beam volume CT mammography imaging: Preliminary phantom study,” Proc. SPIE 4320, 601–610 (2001).
9.S. Glick, S. Vedantham, and A. Karellas, “Investigation of optimal kVp settings for CT mammography using a flat panel detector,” Proc. SPIE 4682, 392–402 (2002).
10.K. Ogawa, M. Nakajima, and S. Yuta, “A reconstruction algorithm from truncated projections,” IEEE Trans. Med. Imaging 3, 34–40 (1984).
12.K. Tam, “Exact local regions-of-interest reconstruction in spiral cone-beam filtered-backprojection CT: Theory,” Proc. SPIE 3979, 506–519 (2000).
13.G. Lauritritsch, “Exact local regions-of-interest reconstruction in spiral cone-beam filtered-back projections CT: Numerical implementation and first image results,” Proc. SPIE 3979, 520–532 (2000).
14.M. Defrise, F. Noo, R. Clackdoyle, and H. Kudo, “Truncated Hilbert transform and image reconstruction from limited tomographic data,” Phys. Med. Biol. 22, 1037–1053 (2006).
15.S. Cho, J. Bian, C. A. Pelizzari, C.-T. Chen, T.-C. He, and X. Pan, “Region-of-interest image reconstruction in circular cone-beam microCT,” Med. Phys. 34, 4923–4933 (2007).
16.J. Hsieh, E. Chao, J. Thibault, B. Grekowicz, A. Horst, S. McOlash, and T. J. Myers, “A novel reconstruction algorithm to extend the CT scan field-of-view,” Med. Phys. 31, 2385–2391 (2004).
17.R. Chityala, K. R. Hoffmann, S. Rudin, and D. R. Bednarek, “Region of interest (ROI) computed tomography (CT): Comparison with full field of view (FFOV) and truncated CT for a human head phantom,” Proc. SPIE 5745, 583–590 (2005).
18.R. Chityala, K. R. Hoffmann, D. R. Bednarek, and S. Rudin, “Region of interest (ROI) computed tomography,” Proc. SPIE 5368, 534–541 (2004).
20.T. Zhuang, S. Leng, B. E. Nett, and G.-H. Chen, “Fan-beam and cone-beam image reconstruction via filtering the backprojection image of differentiated projection data,” Phys. Med. Biol. 49, 5489–5503 (2004).
21.J. D. Pack, F. Noo, and R. Clackdoyle, “Cone-beam reconstruction using the backprojection of locally filtered projections,” IEEE Trans. Med. Imaging 24, 70–85 (2005).
22.S. Graham, J. Siewerdsen, H. Keller, D. Moseley, and D. Jaffray, “Intensity-modulated cone-beam CT for patient-specific distribution of SNR,” Med Phys. AAPM Conference, Seattle, WA, Vol. 32, p. 2092 (2005).
23.L. Chen, C. C. Shaw, C.-j. Lai, M. C. Altunbas, T. Wang, S.-j. Tu, and Xinming Liu, “Comparison of full-scan and half-scan for cone beam breast CT imaging,” Proc. SPIE 6142, 6142M6141–6147 (2006).
24.J. M. Boone, N. Shan, and T. R. Nelson, “A comprehensive analysis of coefficients for pendant-geometry cone-beam breast computed tomography,” Med. Phys. 31, 226–235 (2004).
26.J. Hsieh, Computed Tomography - Principles, Design, Artifacts and Recent Advances, Vol. Pm114 (SPIE Press Monograph, Bellingham, WA, 2003).
27.X. Liu and C. C. Shaw, “ flat-panel versus computed radiography for chest imaging applications: Image quality metrics measurement,” Med. Phys. 31, 98–110 (2004).
28.R. E. Colbeth, S. Boyce, R. Fong, K. Gray, and R. Harris, “ flat panel imager for angiography, R&F, and cone-beam CT applications,” Proc. SPIE 4320, 94–102 (2001).
29.L. A. Feldkamp, L. C. Davis, and J. W. Kress, “Practical cone-beam algorithm,” J. Opt. Soc. Am. A 1, 612–619 (1984).
30.C.-J. Lai, C. C. Shaw, L. Chen, M. C. Altunbas, X. Liu, T. Han, T. Wang, W. T. Yang, G. J. Whitman, and S.-J. Tu, “Visibility of microcalcification in cone beam breast CT: Effects of x-ray tube voltage and radiation dose,” Med. Phys. 34, 2995–3004 (2007).
33.S. Leng, T. Zhuang, B. E. Nett, and G.-H. Chen, “Exact fan-beam image reconstruction algorithm for truncated projection data acquired from an asymmetric half-size detector,” Phys. Med. Biol. 50, 1805–1820 (2005).
34.C. A. Kak and M. Slaney, Principles of Computerized Tomographic Imaging (IEEE, New York, 1988).
Article metrics loading...
Full text loading...
Most read this month