A comparative study of ultrasound image segmentation algorithms for segmenting kidney tumors

Authors:
Lin Li;Peeter Ross;Maarja Kruusmaa;Xiaosong Zheng
Affiliations:
Tallinn University of Technology, Akadeemia tee, Tallinn, Estonia;East Tallinn Central Hospital, Tallinn, Estonia;University of Technology, Akadeemia tee, Tallinn, Estonia;Tallinn University of Technology, Akadeemia tee, Tallinn, Estonia, Shanghai University
Venue:
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Year:
2011

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Abstract

In this paper we introduce an ultrasound image segmentation evaluation framework for kidney tumor. Ultrasound image segmentation algorithms can be divided into edge based, region based, texture based, active contour and model base technique. We tested the performance of algorithms in each category using a kidney phantom and kidney cyst ultrasound image. We found that the algorithms we implemented are more suitable for relatively homogeneous kidney tumors. For more heterogeneous tumors we should use more complicated segmentation techniques and some of these advanced techniques are discussed in this paper.