General Tendencies in Segmentation of Medical Ultrasound Images

Image segmentation plays an important role in both qualitative and quantitative analysis of medical ultrasound images. But the performance of the classical image-segmentation techniques degrades severely when they are applied to segment medical ultrasound images, for medical ultrasound images have f...

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Bibliographic Details
Published in2009 Fourth International Conference on Internet Computing for Science and Engineering pp. 113 - 117
Main Authors Changming Zhu, Jun Ni, Yanbo Li, Guochang Gu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2009
Subjects
Biomedical engineering
Biomedical imaging
Educational institutions
Gray-scale
Image edge detection
Image segmentation
Medical diagnostic imaging
Pixel
poor contrast
segmentation techniques
Speckle
speckle noise
Ultrasonic imaging
ultrasound images
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Summary:Image segmentation plays an important role in both qualitative and quantitative analysis of medical ultrasound images. But the performance of the classical image-segmentation techniques degrades severely when they are applied to segment medical ultrasound images, for medical ultrasound images have features of poor contrast and strong speckle noise. Firstly, this article investigates and compiles some of the techniques mostly used in the segmentation of medical ultrasound images. Then a bibliographical survey of current research of medical ultrasound images segmentation is given in this paper. Finally, the general tendencies of medical ultrasound images segmentation are presented.
ISBN:9781424467549
1424467543
DOI:10.1109/ICICSE.2009.71