Automatic Clustering for MRI Images, Application on Perfusion MRI of Brain

被引：0

作者：

Chuzel, P. ^{[1
]}

Mansour, A. ^{[1
]}

Ognard, J. ^{[2
]}

Gentric, J. ^{[2
]}

Bressollette, L. ^{[2
]}

Hamad, D. ^{[3
]}

Betrouni, N. ^{[4
]}

机构：

[1] ENSTA Bretagne, Lab STICC, Brest, France

[2] Brest Univ Hosp, Lab GETBO, Equipe 3878, Brest, France

[3] Univ Littoral Cote dOpale, Calais, France

[4] INSERM, Unite 1189, Lille, France

来源：

2016 2ND INTERNATIONAL CONFERENCE ON FRONTIERS OF SIGNAL PROCESSING (ICFSP) | 2015年

关键词：

speetral clustering; signal and image proeessing; automatie segmentation; MRI;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Many studies have been made in order to pro pose automatic diagnostic in medical fields. This paper proposes a new approach to deal with the problem of spectral clustering for signal extracted from brain MRI images. The tool-chain developed during this study can be easily implemented for the extraction and the analysis of information from perfusion MRI. In order to prove this, a reliable program which can easily isolate healthy from any pathological tissues. Experimental results are shown and discussed.

引用

页码：63 / 66

页数：4

共 21 条

[1] Computer-aided diagnosis in medical imaging: Historical review, current status and future potential [J].