Detecting Microcalcifications in Digital Mammograms using Wavelet Domain Hidden Markov Tree Model

Author

Regentova, Emma ; Zhang, Lei ; Zheng, Jun ; Veni, Gopalkrishna

Author_Institution

Dept. of Electr. & Comput. Eng., Nevada Univ., Las Vegas, NV

fYear

2006

fDate

Aug. 30 2006-Sept. 3 2006

Firstpage

1972

Lastpage

1975

Abstract

In this paper we investigate the performance of statistical modeling of digital mammograms by means of wavelet domain hidden Markov tree model (WHMT) for its inclusion to a computer-aided diagnostic prompting system for detecting microcalcification (MC) clusters. The system incorporates: (1) gross-segmentation of mammograms for obtaining the breast region; (2) eliminating the pepper-type noise, (3) block-wise wavelet transform of the breast signal and likelihood calculation; (4) image segmentation; (5) postprocessing for retaining MC clusters. FROC curves are obtained for all MC clusters containing mammograms of mini-MIAS database. 100% of true positive cases are detected by the system at 2.9 false positives per case

Keywords

cancer; diagnostic radiography; hidden Markov models; image denoising; image segmentation; mammography; medical image processing; tumours; wavelet transforms; FROC curves; block-wise wavelet transform; breast region; cancer; computer-aided diagnostic system; digital mammograms; gross-segmentation; image segmentation; likelihood calculation; microcalcification detection; miniMIAS database; pepper-type noise elimination; statistical modeling; wavelet domain hidden Markov tree model; Breast cancer; Cities and towns; Hidden Markov models; Image databases; Image segmentation; Tree graphs; USA Councils; Wavelet coefficients; Wavelet domain; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Conference_Location

New York, NY

ISSN

1557-170X

Print_ISBN

1-4244-0032-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2006.259580

Filename

4462168