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Proceedings Paper

Cell-based image partition and edge grouping: a nearly automatic ultrasound image segmentation algorithm for breast cancer computer aided diagnosis
Author(s): Jie-Zhi Cheng; Kuei-Wu Chen; Yi-Hong Chou; Chung-Ming Chen
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Paper Abstract

This study proposes a nearly automatic ultrasound image segmentation algorithm for computer-aided diagnosis on breast cancer. This method is realized in two phases, i.e., partition phase and edge grouping phase. The two phases are implemented on the cell tessellation, which is generated by two-pass watershed transformation. With this unique integration of the three ingredients, i.e., the partition and grouping phases and cell tessellation, it will be shown that the breast lesion boundaries can be effectively and efficiently detected - even the lesion shape is very uneven. The proposed algorithm can be served as the kernel of CAD system on breast ultrasound to improve the automation and performance.

Paper Details

Date Published: 17 March 2008
PDF: 12 pages
Proc. SPIE 6915, Medical Imaging 2008: Computer-Aided Diagnosis, 69152E (17 March 2008); doi: 10.1117/12.769995
Show Author Affiliations
Jie-Zhi Cheng, Siemens Corporate Research (United States)
National Taiwan Univ. (Taiwan)
Kuei-Wu Chen, National Taiwan Univ. (Taiwan)
Yi-Hong Chou, Taipei Veterans General Hospital (Taiwan)
Chung-Ming Chen, National Taiwan Univ. (Taiwan)

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

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