MRI-PET data fusion using soft computing for the automatic assessment of myocardial viability

被引：2

作者：

Behloul, F ^{[1
]}

Janier, M ^{[1
]}

Croisille, P ^{[1
]}

Poirier, C ^{[1
]}

Boudraa, A ^{[1
]}

Unterreiner, R ^{[1
]}

Mason, J ^{[1
]}

Revel, D ^{[1
]}

机构：

[1] Inst Natl Sci Appl, CREATIS, F-69621 Villeurbanne, France

来源：

COMPUTERS IN CARDIOLOGY 1998, VOL 25 | 1998年 / 25卷

关键词：

D O I：

10.1109/CIC.1998.731701

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

In this paper, a data fusion system for the automatic assessment of left Ventricular (LV) myocardium viability is presented. The system fuses LV contractile function parameters extracted from tagged Magnetic Resonance Images (MRI) and glucose metabolism rate imaged by a Positron Emission Tomography (PET) scanner. A registration package, which includes 2D and 3D visualization, has been designed. The fusion system is based on Soft Computing techniques. It is a hierarchical modular network consisting of four Adaptive Network-based Fuzzy Inference Systems and is able to learn and adapt itself as well as integrates expert knowledge. The particular advantage of our system is that the MRI and PET complement each other leading to an accurate assessment of the myocardial viability. The presented system is a valuable tool for clinical and research applications.

引用

页码：29 / 32

页数：4