Semi-automated segmentation and classification of digital breast tomosynthesis reconstructed images

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 6188-6191

  Vedantham, Srinivasan ^a   Shi, Linxi ^a   Karellas, Andrew ^a   Michaelsen, Kelly E ^b   Krishnaswamy, Venkataramanan ^b   Pogue, Brian W ^b   Paulsen, Keith D ^b  

^a UNIVERSITY OF MASSACHUSETTS   (United States)

^b DARTMOUTH COLLEGE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION METHODS; COMPUTER-AIDED DETECTION AND DIAGNOSIS; DIGITAL BREAST TOMOSYNTHESIS; FIBROGLANDULAR; FUNCTIONAL IMAGING; INTEGRATED IMAGING; POTENTIAL APPLICATIONS; RECONSTRUCTED IMAGE; SEMI-AUTOMATED SEGMENTATION; SKIN TISSUE; TOMOGRAPHIC; TUMOR VOLUMES; X-RAY IMAGING TECHNIQUES;

COMPUTER AIDED DIAGNOSIS; IMAGE SEGMENTATION; MAMMOGRAPHY; NEAR INFRARED SPECTROSCOPY; TISSUE; TISSUE ENGINEERING;

MEDICAL IMAGING;

ADIPOSE TISSUE; ALGORITHM; ANISOTROPY; ARTICLE; BREAST; CLUSTER ANALYSIS; DIFFUSION; EQUIPMENT; EQUIPMENT DESIGN; FEMALE; FUZZY LOGIC; HUMAN; IMAGE PROCESSING; LIGHT; MAMMOGRAPHY; METHODOLOGY; MUSCLE; NEAR INFRARED SPECTROSCOPY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; RADIATION SCATTERING; SKIN; X RAY; INSTRUMENTATION;

ADIPOSE TISSUE; ALGORITHMS; ANISOTROPY; BREAST; CLUSTER ANALYSIS; DIFFUSION; EQUIPMENT DESIGN; FEMALE; FUZZY LOGIC; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LIGHT; MAGNETIC RESONANCE IMAGING; MAMMOGRAPHY; MUSCLES; SCATTERING, RADIATION; SKIN; SPECTROSCOPY, NEAR-INFRARED; X-RAYS;

EID: 84864608811     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6091528     Document Type: Conference Paper

References (22)

1. L. T. Niklason, B. T. Christian, L. E. Niklason, D. B. Kopans, D. E. Castleberry, B. H. OpsahlOng, C. E. Landberg, P. J. Slanetz, A. A. Giardino, R. Moore, D. Albagli, M. C. DeJule, P. F. Fitzgerald, D. F. Fobare, B. W. Giambattista, R. F. Kwasnick, J. Q. Liu, S. J. Lubowski, G. E. Possin, J. F. Richotte, C. Y. Wei, and R. F. Wirth, "Digital Tomosynthesis in breast imaging," Radiology, vol. 205, pp. 399-406, Nov 1997.
2. T. Wu, R. H. Moore, E. A. Rafferty, and D. B. Kopans, "A comparison of reconstruction algorithms for breast tomosynthesis," Med Phys, vol. 31, pp. 2636-47, Sep 2004.
3. Y. Chen, J. Y. Lo, and J. T. Dobbins, 3rd, "Importance of point-bypoint back projection correction for isocentric motion in digital breast tomosynthesis: relevance to morphology of structures such as microcalcifications," Med Phys, vol. 34, pp. 3885-92, Oct 2007.
4. Y. Zhang, H. P. Chan, B. Sahiner, J. Wei, M. M. Goodsitt, L. M. Hadjiiski, J. Ge, and C. Zhou, "A comparative study of limited-angle cone-beam reconstruction methods for breast tomosynthesis," Med Phys, vol. 33, pp. 3781-95, Oct 2006.
5. S. Suryanarayanan, A. Karellas, S. Vedantham, S. P. Baker, S. J. Glick, C. J. D'Orsi, and R. L. Webber, "Evaluation of linear and nonlinear tomosynthetic reconstruction methods in digital mammography," Acad Radiol, vol. 8, pp. 219-24, Mar 2001.
6. S. P. Poplack, T. D. Tosteson, C. A. Kogel, and H. M. Nagy, "Digital breast tomosynthesis: initial experience in 98 women with abnormal digital screening mammography," AJR Am J Roentgenol, vol. 189, pp. 616-23, Sep 2007.
7. S. Suryanarayanan, A. Karellas, S. Vedantham, S. J. Glick, C. J. D'Orsi, S. P. Baker, and R. L. Webber, "Comparison of tomosynthesis methods used with digital mammography," Acad Radiol, vol. 7, pp. 1085-97, Dec 2000.
8. S. Srinivasan, B. W. Pogue, B. Brooksby, S. Jiang, H. Dehghani, C. Kogel, W. A. Wells, S. Poplack, and K. D. Paulsen, "Near-Infrared Characterization of Breast Tumors In-Vivo using Spectrally-Constrained Reconstruction," Tech. Cancer Res. Treat., vol. 4, pp. 513-526, 2005.
9. A. Cerussi, N. Shah, D. Hsiang, A. Durkin, J. Butler, and B. J. Tromberg, "In vivo absorption, scattering, and physiologic properties of 58 malignant breast tumors determined by broadband diffuse optical spectroscopy," Journal of Biomedical Optics, vol. 11, p. 044005, Jul-Aug 2006.
10. B. W. Pogue, S. Jiang, H. Dehghani, C. Kogel, S. Soho, S. Srinivasan, X. Song, T. D. Tosteson, S. P. Poplack, and K. D. Paulsen, "Characterization of hemoglobin, water, and NIR scattering in breast tissue: analysis of intersubject variability and menstrual cycle changes," Journal of Biomedical Optics, vol. 9, pp. 541-52, 2004.
11. B. Brooksby, H. Dehghani, B. W. Pogue, and K. D. Paulsen, "Near infrared (NIR) tomography breast image reconstruction with a priori structural information from MRI: algorithm development for reconstructing heterogeneities," IEEE J. STQE, vol. 9, pp. 199-209, 2003.
12. M. Guven, B. Yazici, X. Intes, and B. Chance, "Diffuse optical tomography with a priori anatomical information," Physics in Medicine & Biology, vol. 50, pp. 2837-58, Jun 21 2005.
13. C. M. Carpenter, B. W. Pogue, S. Jiang, H. Dehghani, X. Wang, K. D. Paulsen, W. A. Wells, J. Forero, C. Kogel, J. B. Weaver, S. P. Poplack, and P. A. Kaufman, "Image-guided optical spectroscopy provides molecular-specific information in vivo: MRI-guided spectroscopy of breast cancer hemoglobin, water, and scatterer size," Opt Lett, vol. 32, pp. 933-5, Apr 15 2007.
14. Q. Zhang, T. J. Brukilacchio, A. Li, J. J. Stott, T. Chaves, E. Hillman, T. Wu, M. Chorlton, E. Rafferty, R. H. Moore, D. B. Kopans, and D. A. Boas, "Coregistered tomographic x-ray and optical breast imaging: initial results," Journal of Biomedical Optics, vol. 10, p. 024033, Mar-Apr 2005.
15. S. M. Smith and J. M. Brady, "SUSAN - A new approach to low level image processing," International Journal of Computer Vision, vol. 23, pp. 45-78, May 1997.
16. J. Chen, S. Paris, and F. Durand, "Real-time edge-aware image processing with the bilateral grid," ACM Transactions on Graphics -Proceedings of ACM SIGGRAPH 2007, vol. 26, Jul 2007.
17. C. Tomasi and R. Manduchi, "Bilateral filtering for gray and color images," in Sixth International Conference on Computer Vision, Bombay, 1998, p. 839.
18. P. Perona and J. Malik, "Scale-space and edge detection using anisotropic diffusion," IEEE Trans. Pattern Anal. Mach. Intell., vol. 12, pp. 629-639, 1990.
19. H. P. Chan, D. Wei, M. A. Helvie, B. Sahiner, D. D. Adler, M. M. Goodsitt, and N. Petrick, "Computer-aided classification of mammographic masses and normal tissue: linear discriminant analysis in texture feature space," Physics in Medicine and Biology, vol. 40, pp. 857-76, May 1995.
20. J. C. Bezdek, J. Keller, R. Krishnapuram, and N. R. Pai, Fuzzy Models and Algorithms for Pattern Recognition and Image Processing. Norwell, MA: Kluwer Academic Publishers, 1999.
21. B. Sahiner, H. P. Chan, D. Wei, N. Petrick, M. A. Helvie, D. D. Adler, and M. M. Goodsitt, "Image feature selection by a genetic algorithm: application to classification of mass and normal breast tissue," Med Phys, vol. 23, pp. 1671-84, Oct 1996.
22. W. Chen, M. L. Giger, and U. Bick, "A fuzzy c-means (FCM)-based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced MR images," Academic Radiology, vol. 13, pp. 63-72, Jan 2006.