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
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;
Conference_Titel :
Image Analysis and Interpretation, 2004. 6th IEEE Southwest Symposium on
Print_ISBN :
0-7803-8387-7
DOI :
10.1109/IAI.2004.1300971
