Segmentation of kidney by using a deformable model

Author

Tsagaan, Baigalmaa ; Shimizu, Akinobu ; Kobatake, Hidefumi ; Miyakawa, Kunihisa ; Hanzawa, Yosinori

Author_Institution

Graduate Sch. of Bio-Applications & Syst. Eng., Tokyo Univ. of Agric. & Technol., Japan

Volume

3

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

1059

Abstract

This paper presents a deformable model based approach for segmenting three dimensional (3D) anatomic volumes (such as human organs) in medical images. The deformable model is represented by non-uniform rational B-splines surface and a priori knowledge of an organs shape, such as average and variation of the shape, is introduced as energy function for the model fitting process. To describe the shape, we used principal curvature and its statistical information which are invariant for rotation and translation. The proposed method is applied to the segmentation problems of the kidney in 3D CT images and the promising results are shown

Keywords

computerised tomography; feature extraction; image segmentation; kidney; medical image processing; splines (mathematics); 3D CT images; 3D anatomic volumes; Mahalanobis distance; deformable model; energy function; human organs; kidney segmentation; medical images; model fitting; nonuniform rational B-splines surface; principal curvature; rotation; shape average; shape feature; shape variation; statistical information; translation; Biomedical imaging; Deformable models; Flowcharts; Humans; Image segmentation; Shape; Spline; Surface fitting; Surface reconstruction; Surface topography;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2001. Proceedings. 2001 International Conference on

Conference_Location

Thessaloniki

Print_ISBN

0-7803-6725-1

Type

conf

DOI

10.1109/ICIP.2001.958309

Filename

958309