|Title:||Cell-Competition Algorithm: A New Segmentation Algorithm for Multiple Objects with Irregular Boundaries in Ultrasound Images||Authors:||Chen, Chung-Ming
Chen, Curtis S.K.
|Keywords:||Segmentation;Multiple objects;Ultrasound images;Breast lesions;Region competition;Cell competition||Issue Date:||2005||Journal Volume:||v.31||Journal Issue:||n.12||Start page/Pages:||1647-1664||Source:||ULTRASOUND IN MEDICINE & BIOLOGY||Abstract:||
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: email@example.com)
|Appears in Collections:||醫學工程學研究所|
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