DocumentCode :
3239260
Title :
Radial multiscale cyst segmentation in ultrasound images of kidney
Author :
Eslami, Abouzar ; Kasaei, Shohreh ; Jahed, Mehran
Author_Institution :
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
fYear :
2004
fDate :
18-21 Dec. 2004
Firstpage :
42
Lastpage :
45
Abstract :
Cysts are one of the most common lesions in kidneys and can be diagnosed exploiting ultrasound images. In this paper, we develop an automatic approach for cyst segmentation in ultrasound images. The proposed approach comprises three steps: finding a seed point in the object exploiting the Gibbs random field, detecting the boundary based on multiresolution signal processing and edge refining and finally shape model features extracting to verify whether the object is a cyst. The proposed approach is fast and less complex to suit ultrasound exploration applications.
Keywords :
biomedical ultrasonics; feature extraction; image resolution; image segmentation; kidney; medical image processing; Gibbs random field; boundary detection; cyst segmentation; diagnosis; edge refining; kidney lesion; multiresolution signal processing; radial multiscale; shape model feature extraction; ultrasound image; Biomedical imaging; Image edge detection; Image resolution; Image segmentation; Lesions; Medical diagnostic imaging; Pixel; Random variables; Shape; Ultrasonic imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Information Technology, 2004. Proceedings of the Fourth IEEE International Symposium on
Print_ISBN :
0-7803-8689-2
Type :
conf
DOI :
10.1109/ISSPIT.2004.1433684
Filename :
1433684
Link To Document :
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