Title :
General Tendencies in Segmentation of Medical Ultrasound Images
Author :
Zhu, Changming ; Ni, Jun ; Li, Yanbo ; Gu, Guochang
Author_Institution :
Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin, China
Abstract :
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.
Keywords :
biomedical ultrasonics; image segmentation; medical image processing; contrast feature; image segmentation; medical ultrasound images; speckle noise feature; Biomedical engineering; Biomedical imaging; Educational institutions; Gray-scale; Image edge detection; Image segmentation; Medical diagnostic imaging; Pixel; Speckle; Ultrasonic imaging; image segmentation; poor contrast; segmentation techniques; speckle noise; ultrasound images;
Conference_Titel :
Internet Computing for Science and Engineering (ICICSE), 2009 Fourth International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-6754-9
DOI :
10.1109/ICICSE.2009.71