Title :
An attractable snake model for contour extraction in MRI images
Author :
Ji, Lilian ; Yan, Hong
Author_Institution :
Dept. of Electr. Eng., Sydney Univ., NSW, Australia
fDate :
29 Oct-1 Nov 1998
Abstract :
This paper presents intelligent attractable contour snake based model, which is less sensitive to initial contour condition than the conventional model and works well with low contrast images. The method has been applied to MRI medical images for contour extraction with good results
Keywords :
biomedical MRI; edge detection; feature extraction; image segmentation; medical image processing; optimisation; splines (mathematics); Gaussian smoothing; MRI images; active contour; attractable snake model; contour extraction; deformable spline; edge detection; greedy algorithm; image feature potential energy field; image segmentation; intelligent attractable contour model; low contrast images; optimisation; synthetic convergent criteria; Biomedical imaging; Deformable models; Electronic mail; Image converters; Image edge detection; Image segmentation; Intelligent sensors; Magnetic resonance imaging; Potential energy; Shape;
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-5164-9
DOI :
10.1109/IEMBS.1998.745472
