Interest of Non-Negativity Constraint in Perfusion DSC-MRI Deconvolution for Acute Stroke

被引:0
|
作者
Giacalone, Mathilde [1 ,2 ,3 ,4 ]
Frindel, Carole [1 ,2 ,3 ,4 ]
Robini, Marc [1 ,2 ,3 ,4 ]
Rousseau, David [1 ,2 ,3 ,4 ]
机构
[1] Univ Lyon, CREATIS, 7 Ave Jean Capelle, F-69621 Villeurbanne, France
[2] CNRS, UMR 5220, 7 Ave Jean Capelle, F-69621 Villeurbanne, France
[3] INSERM, U1044, 7 Ave Jean Capelle, F-69621 Villeurbanne, France
[4] INSA Lyon, 7 Ave Jean Capelle, F-69621 Villeurbanne, France
关键词
inverse problem; perfusion MRI deconvolution; acute stroke;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We develop a globally convergent deconvolution algorithm for perfusion dynamic susceptibility contrast MRI applied to stroke. This algorithm includes, in addition to temporal and spatial regularization terms, a non-negativity constraint. Experiments on real data show performance improvements with the non-negativity constraint in the temporal regularization context.
引用
收藏
页码:89 / 92
页数:4
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