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Proceedings Paper

Tree-structured nonlinear filter and wavelet transform for microcalcification segmentation in mammography
Author(s): Wei Qian; Laurence P. Clarke; Maria Kallergi; Huai Dong Li; Robert Paul Velthuizen; Robert A. Clark; Martin L. Silbiger
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Paper Abstract

The development of an extensive array of algorithms for both image enhancement and feature extraction for microcalcification cluster detection is reported. Specific emphasis is placed on image detail preservation and automatic or operator independent methods to enhance the sensitivity and specificity of detection and that should allow standardization of breast screening procedures. Image enhancement methods include both novel tree structured non-linear filters with fixed parameters and adaptive order statistic filters designed to further improve detail preservation. Novel feature extraction methods developed include both two channel tree structured wavelet transform and three channel quadrature mirror filter banks with multiresolution decomposition and reconstruction specifically tailored to extract MCC's. These methods were evaluated using fifteen representative digitized mammograms where similar sensitivity (true positive (TP) detection rate 100%) and specificity (0.1 - 0.2 average false positive (FP) MCC's/image) was observed but with varying degrees of detail preservation important for characterization of MCC's. The image enhancement step proved to be very critical to minimize image noise and associated FP detection rates for MCC's or individual microcalcifications.

Paper Details

Date Published: 29 July 1993
PDF: 12 pages
Proc. SPIE 1905, Biomedical Image Processing and Biomedical Visualization, (29 July 1993); doi: 10.1117/12.148665
Show Author Affiliations
Wei Qian, Univ. of South Florida and H. Lee Moffitt Cancer Ctr. and Research Institute (United States)
Laurence P. Clarke, Univ. of South Florida and H. Lee Moffitt Cancer Ctr. and Research Institute (United States)
Maria Kallergi, Univ. of South Florida and H. Lee Moffitt Cancer Ctr. and Research Institute (United States)
Huai Dong Li, Univ. of South Florida and H. Lee Moffitt Cancer Ctr. and Research Institute (United States)
Robert Paul Velthuizen, Univ. of South Florida and H. Lee Moffitt Cancer Ctr. and Research Institute (United States)
Robert A. Clark, Univ. of South Florida and H. Lee Moffitt Cancer Ctr. and Research Institute (United States)
Martin L. Silbiger, Univ. of South Florida and H. Lee Moffitt Cancer Ctr. and Research Institute (United States)


Published in SPIE Proceedings Vol. 1905:
Biomedical Image Processing and Biomedical Visualization
Raj S. Acharya; Dmitry B. Goldgof, Editor(s)

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