The characterization of breast anatomical metrics using dedicated breast CT

Medical Physics

Volumn 38, Issue 4, 2011, Pages 2180-2191

  Huang, Shih Ying ^a,b   Boone, John M ^a,b   Yang, Kai ^b   Packard, Nathan J ^c   McKenney, Sarah E ^a,b   Prionas, Nicolas D ^a,b   Lindfors, Karen K ^b   Yaffe, Martin J ^d  

^a University of California Davis   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c CARESTREAM HEALTH INC   (United States)

^d SUNNYBROOK RESEARCH INSTITUTE   (Canada)

Author keywords

areal glandular fraction; breast CT; breast diameter; breast length; volume glandular fraction

Indexed keywords

COMPUTERIZED TOMOGRAPHY;

AREAL GLANDULAR FRACTION; BREAST CT; BREAST DIAMETER; BREAST LENGTH; VOLUME GLANDULAR FRACTION;

MEDICAL IMAGING;

EID: 79953657431     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.3567147     Document Type: Article

References (14)

1. F. O. Bochud, C. K. Abbey, and M. P. Eckstein, "Statistical texture synthesis of mammographic images with clustered lumpy backgrounds," Opt. Express 4(1), 33-43 (1999).
2. M. Kallergi, M. A. Gavrielides, C. G. Berman, J. J. Kim, and R. A. Clark, "Simulation model of mammographic calcifications based on the American College of Radiology Breast Imaging Reporting and Data System or BIRADS," Acad. Radiol. 5(10), 670-679 (1998).
3. M. J. Lado, P. G. Tahoces, M. Souto, A. J. Mendez, and J. J. Vidal, "Real and simulated clustered microcalcifications in digital mammograms. ROC study of observer performance," Med. Phys. 24(9), 1385-1394 (1997).
4. F. Lefebvre, H. Benali, R. Gilles, and R. Di Paola, "A simulation model of clustered breast microcalcifications," Med. Phys. 21(12), 1865-1874 (1994).
5. J. J. Nappi and P. B. Dean, "Mammographic feature generator for evaluation of image analysis algorithms," Proc. SPIE - Int. Soc. Opt. Eng. 3034, 911-918 (1997).
6. P. R. Bakic, M. Albert, D. Brzakovic, and A. D. A. Maidment, "Mammogram synthesis using a 3D simulation. 1. Breast tissue model and image acquisition simulation," Med. Phys. 29(9), 2131-2139 (2002).
7. K. Bliznakova, Z. Bliznakov, V. Bravou, Z. Kolitsi, and N. Pallikarakis, "A three-dimensional breast software phantom for mammography simulation," Phys. Med. Biol. 48(22), 3699-3719 (2003).
8. J. M. Boone, A. L. Kwan, J. A. Seibert, N. Shah, K. K. Lindfors, and T. R. Nelson, "Technique factors and their relationship to radiation dose in pendant geometry breast CT," Med. Phys. 32(12), 3767-3776 (2005).
9. K. Yang, A. Kwan, G. Burkett, and J. M. Boone, "Hounsfield units calibration with adaptive compensation of beam hardening for a dose limited breast CT system," in American Association of Physicists in Medicine 28th Annual Meeting, Orlando, FL, 2006.
10. N. Packard and J. M. Boone, "Glandular segmentation of cone beam breast CT volume images," Proc. SPIE 6510(1), 651038 (2007).
11. M. J. Yaffe, J. M. Boone, N. Packard, O. Alonzo-Prouix, S. Y. Huang, C. L. Peressotti, A. Al-Mayah, and K. Brock, "The myth of the 50-50 breast," Med. Phys. 36(12), 5437-5443 (2009).
12. D. B. Kopans, Breast Imaging, 3rd ed. (Lippincott-Raven, Philadelphia, PA, 2007), pp. 350 and 351.
13. P. C. Stomper, D. J. Dsouza, P. A. DiNitto, and M. A. Arredondo, "Analysis of parenchymal density on mammograms in 1353 women 25-79 years old," AJR, Am. J. Roentgenol. 167(5), 1261-1265 (1996).
14. S. M. Astley and S. Caulkin, "The generation of synthetic spiculated lesions in digital mammograms using statistical models," Radiology 225, 645-645 (2002).