Interactive surface segmentation for medical images

Author

Xiaohan, Yu ; Ylä-Jääski, Juha

Author_Institution

Nokia Telecommun., Helsinki, Finland

Volume

2

fYear

1996

fDate

14-18 Oct 1996

Firstpage

1178

Abstract

Active contours, known as snakes, have been widely used for medical images. In this paper a new algorithm for 3D segmentation is proposed based on the snake technique, which can include both gradient and textural features as image forces and a new external force to improve the sensitivity of a normal snake against image noise. After the contour has been well defined on one slice of volume data by a 2D segmentation method, the contours of the subsequent slices can be obtained through our modified snake method. Experiments on medical MRI volume images have proved the validity of the algorithm

Keywords

biomedical NMR; edge detection; image segmentation; image texture; medical image processing; 2D segmentation method; 3D segmentation; active contours; external force; gradient features; image forces; image noise; interactive surface segmentation; medical MRI volume image; medical images; textural features; volume data; Active contours; Biomedical imaging; Biomembranes; Force control; Image converters; Image edge detection; Image segmentation; Information technology; Pixel; Shape control;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 1996., 3rd International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-2912-0

Type

conf

DOI

10.1109/ICSIGP.1996.566335

Filename

566335