DocumentCode
3016691
Title
Snake-based liver lesion segmentation
Author
Krishnamurthy, Chetankumar ; Rodriguez, Jeffrey J. ; Gillies, Robert J.
Author_Institution
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
fYear
2004
fDate
28-30 March 2004
Firstpage
187
Lastpage
191
Abstract
A novel and robust method for accurate segmentation of liver lesions is discussed. The initial contour for the snake is formed using edge and region information. The modified snake, guided by fuzzy edge information, deforms from this initial position, providing an accurate representation of the lesion boundary with few iterations and minimal user interaction. Results obtained from this algorithm are comparable to those obtained from manual segmentation by a trained radiologist.
Keywords
biomedical MRI; cancer; edge detection; fuzzy logic; fuzzy set theory; image segmentation; iterative methods; liver; medical image processing; tumours; active contour; anti-cancer therapies; clinical oncology; diffusion magnetic resonance imaging; edge detection; fuzzy edge information; fuzzy sets; iterations; liver lesion segmentation; medical image analysis; snake; Cancer; Convergence; Filters; Image edge detection; Image segmentation; Lesions; Liver; Magnetic resonance imaging; Medical treatment; Speckle;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis and Interpretation, 2004. 6th IEEE Southwest Symposium on
Print_ISBN
0-7803-8387-7
Type
conf
DOI
10.1109/IAI.2004.1300971
Filename
1300971
Link To Document