Tissue Classification in a Canine Model of Duchenne Muscular Dystrophy Using Quantitative MRI Parameters

被引：0

作者：

Eresen, A. ^{[1
]}

McConnell, S. ^{[1
]}

Birch, S. M. ^{[2
]}

Griffin, J. F. ^{[2
]}

Kornegay, J. N. ^{[2
]}

Ji, J. X. ^{[1
]}

机构：

[1] Texas A&M Univ, Dept Elect & Comp Engn, College Stn, TX 77840 USA

[2] Texas A&M Univ, Coll Vet Med, College Stn, TX 77840 USA

来源：

2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2017年

基金：

中国国家自然科学基金; 美国国家科学基金会;

关键词：

MRI biomarkers; image segmentation; image registration; classification; MUSCLE;

D O I：

暂无

中图分类号：

Q6 [生物物理学];

学科分类号：

071011 ;

摘要：

Duchenne Muscular Dystrophy (DMD) is a genetic disorder caused by dystrophin protein deficiency. Muscle biopsy is the gold standard to determine the disease severity and progression. MRI has shown potential for monitoring disease progression or assessing the treatment effectiveness. In this study, multiple quantitative MRI parameters were used to classify the tissue components in a canine model of DMD disease using histoimmunochemistry analysis as a "ground truth". Results show that multiple MRI parameters may be used to reliably classify the muscular tissue and generate a high-resolution tissue type maps, which can be used as potential non-invasive imaging biomarkers for the DMD.

引用

页码：4066 / 4069

页数：4

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