期刊
ULTRASOUND IN MEDICINE AND BIOLOGY
卷 31, 期 12, 页码 1647-1664出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ultrasmedbio.2005.09.011
关键词
segmentation; multiple objects; ultrasound images; breast lesions; region competition; cell competition; watershed transform
Segmentation of multiple objects with irregular contours and surrounding sporadic spots is a common practice in ultrasound image analysis. A new region-based approach, called cell-competition algorithm, is proposed for simultaneous segmentation of multiple objects in a sonogram. The algorithm is composed of two essential ideas. One is simultaneous cell-based deformation of regions and the other is cell competition. The cells are generated by two-pass watershed transformations. The cell-competition algorithm has been validated with 13 synthetic images of different contrast-to-noise ratios and 71 breast sonograms. Three assessments have been carried out and the results show that the boundaries derived by the cell-competition algorithm are reasonably comparable to those delineated manually. Moreover, the cell-competition algorithm is robust to the variation of regions-of-interest and a range of thresholds required for the second-pass watershed transformation. The proposed algorithm is also shown to be superior to the region-competition algorithm for both types of images. (E-mail: chung@ntu.edu.tw) (c) 2005 World Federation for Ultrasound in Medicine & Biology.
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