Fuzzy medical image processing for segmenting the lateral ventricles from MR images

Author

Bashi, Syoji Ko ; Takae, Tomokazu ; Kitamura, Yuri T. ; Hata, Yutaka ; Yanagida, Toshio

Author_Institution

Dept. of Comput. Eng., Himeji Inst. of Technol., Hyogo, Japan

Volume

3

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

1095

Abstract

This paper shows an automated method for segmenting the lateral ventricles from human brain MR images. It enables automatic volumetry and construction of 3D rendering images. First, we segment the whole brain and the cerebrospinal fluid (CSF) using 3D MR image processing software developed by Y. Hata et al. (see IEEE Trans. Syst., Man, Cybern. C, vol.30, no.3, p.381-95, 2000). Our method for segmenting the lateral ventricles is based on fuzzy inference techniques and is able to represent expert knowledge and to introduce the knowledge to image processing. The employed knowledge on the lateral ventricles consists of the location, the intensity and the shape. The proposed method was applied to MR volumes of 20 normal volunteers, 20 Alzheimer disease and 20 hydrocephalus patients. The experimental results validated that this method was able to segment the lateral ventricles with high accuracy

Keywords

biomedical MRI; brain; diagnostic expert systems; fuzzy logic; image segmentation; inference mechanisms; medical expert systems; medical image processing; rendering (computer graphics); solid modelling; volume measurement; 3D rendering images; Alzheimer disease; MR images; automatic volumetry; cerebrospinal fluid; expert knowledge; fuzzy inference techniques; fuzzy medical image processing; human brain; hydrocephalus patients; lateral ventricle segmentation; Alzheimer´s disease; Biomedical engineering; Biomedical image processing; Biomedical imaging; Computer science; Humans; Image segmentation; Physiology; Rendering (computer graphics); Shape;

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.2001.958318

Filename

958318