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Proceedings Paper

Linear structure verification for medical imaging applications
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Paper Abstract

This paper proposes a method for linear-structure (LS) verification in mammography computer-aided detection (CAD) systems that aims at reducing post-classification microcalcification (MCC) false-positives (FPs). It is an MCC cluster-driven method that verifies linear structures with a small rotatable band that is centered on a given MCC cluster candidate. The classification status of an MCC cluster candidate is changed if its association with a linear structure is confirmed through LS verification. There are mainly four identifiable features that are extracted from the rotatable band in the gradient-magnitude and Hough parameter spaces. The LS verification process applies cascade rules to the extracted features to determine if an MCC cluster candidate resides in a linear structure area. The efficiency and efficacy of the proposed method are demonstrated with results obtained by applying the LS verification method to over one hundred cancer cases and over one thousand normal cases.

Paper Details

Date Published: 17 March 2008
PDF: 8 pages
Proc. SPIE 6915, Medical Imaging 2008: Computer-Aided Diagnosis, 69153M (17 March 2008); doi: 10.1117/12.769222
Show Author Affiliations
Shoupu Chen, Carestream Health, Inc. (United States)
Yong Chu, Carestream Health, Inc. (United States)
Yang Zheng, Philips Medical Systems (United States)


Published in SPIE Proceedings Vol. 6915:
Medical Imaging 2008: Computer-Aided Diagnosis
Maryellen L. Giger; Nico Karssemeijer, Editor(s)

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