Automatic pectoral muscle boundary detection in mammograms based on Markov chain and active contour model

Journal of Zhejiang University: Science C

Volumn 11, Issue 2, 2010, Pages 111-118

  Wang, Lei ^a   Zhu, Miao Liang ^a   Deng, Li Ping ^a   Yuan, Xin ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Active contour; Mammogram; Markov chain; Pectoral muscle

Indexed keywords

ACTIVE CONTOUR MODEL; ACTIVE CONTOURS; BOUNDARY DETECTION; DIGITAL DATABASE FOR SCREENING MAMMOGRAPHIES; DISCRETE TIME MARKOV CHAINS; FALSE NEGATIVES; FALSE POSITIVE; MAMMOGRAPHIC; MARKOV CHAIN; MEDIO-LATERAL OBLIQUE VIEWS; NOVEL METHODS; PECTORAL MUSCLES; PROCESSING ALGORITHMS; ROUGH BOUNDARY;

EDGE DETECTION; IMAGE SEGMENTATION; MAMMOGRAPHY; MARKOV PROCESSES; X RAY SCREENS;

MUSCLE;

EID: 77951860041     PISSN: 18691951     EISSN: 1869196X     Source Type: Journal    
DOI: 10.1631/jzus.C0910025     Document Type: Article

References (14)

1. Bajger, M., Ma, F., Bottema, M.J., 2005. Minimum Spanning Trees and Active Contours for Identification of the Pectoral Muscle in Screening Mammograms. Proc. Digital Image Computing Techniques and Applications, p.323-329. [doi:10.1109/DICTA.2005.55]
2. Dominguez, A.R., Nandi, A.K., 2007. Improved dynamicprogramming- based algorithms for segmentation of masses in mammograms. Med. Phys., 34(11):4256-4269. [doi:10.1118/1.2791034] (Pubitemid 350029647)
3. Ferrari, R.J., Rangayyan, R.M., Desautels, J.E.L., Borges, R.A., Frere, A.F., 2004. Automatic identification of the pectoral muscle in mammograms. IEEE Trans. Med. Imag.,23(2):232-245. [doi:10.1109/TMI.2003.823062]
4. Glide-Hurst, C.K., Duric, N., Littrup, P., 2007. A new method for quantitative analysis of mammographic density. Med.Phys., 34(11):4491-4498. [doi:10.1118/1.2789407] (Pubitemid 350029670)
5. Hong, B.W., Brady, M., 2003. A Topographic Representation for Mammogram Segmentation. Medical Image Computing and Computer-Assisted Intervention, p.730-737. [doi:10.1007/b93811]
6. Karssemeijer, N., 1998. Automated classification of parenchymal patterns in mammograms. Phys. Med. Biol., 43(2): 365-378. [doi:10.1088/0031-9155/43/2/ 011] (Pubitemid 28100138)
7. Kass, M., Witkin, A., Terzopoulos, D., 1988. Snakes: active contour models. Int. J. Comput. Vis., 1(4):321-331. [doi:10.1007/BF00133570]
8. Kinoshita, S., Azevedo-Marques, P., Pereira, R., Rodrigues, J., Rangayyan, R., 2007. Radon-domain detection of the nipple and the pectoral muscle in mammograms. J. Dig. Imag., 21(1):37-49. [doi:10.1007/s10278-007-9035- 6]
9. Kwok, S.M., Chandrasekhar, R., Attikiouzel, Y., Rickard, M.T., 2004. Automatic pectoral muscle segmentation on mediolateral oblique view mammograms. IEEE Trans. Med. Imag., 23(9):1129-1140. [doi:10.1109/TMI.2004.830529]
10. Ma, F., Bajger, M., Slavotinek, J.P., Bottema, M.J., 2007. Two graph theory based methods for identifying the pectoral muscle in mammograms. Pattern Recogn., 40(9):2592-2602. [doi:10.1016/j.patcog.2006.12.011] (Pubitemid 46669584)
11. Timp, S., van Engeland, S., Karssemeijer, N., 2005. A regional registration method to find corresponding mass lesions in temporal mammogram pairs. Med. Phys., 32(8):2629-2638. [doi:10.1118/1.1984323] (Pubitemid 41197200)
12. University of South Florida, 2001. Digital Database for Screening Mammography Available from http://marathon.csee.usf.edu/Mammography/Database. html [Accessed on Jan. 9, 2005]
13. Xu, W.D., Li, L.H., Liu, W., 2007. A Novel Pectoral Muscle Segmentation Algorithm Based on Polyline Fitting and Elastic Thread Approaching. Proc. 1st Int. Conf. on Bioinformatics and Biomedical Engineering, p.837-840. [doi:10.1109/ICBBE.2007.218] (Pubitemid 47592628)
14. Yam, M., Brady, M., Highnam, R., Behrenbruch, C., English, R., Kita, Y., 2001. Three-dimensional reconstruction of microcalcification clusters from two mammographic views. IEEE Trans. Med. Imag., 20(6):479-489. [doi:10.1109/42. 929614] (Pubitemid 32657852)