A conjugate-gradient approach to the parameter estimation problem of magnetic resonance advection imaging

被引：2
|
作者：
Hubmer, Simon [1 ]
Neubauer, Andreas [2 ]
Ramlau, Ronny [1 ,2 ]
Voss, Henning U. [3 ]
机构：
[1] Johann Radon Inst Linz, Altenbergerstr 69, A-4040 Linz, Austria
[2] Johannes Kepler Univ Linz, Inst Ind Math, Linz, Austria
[3] Weill Cornell Med Coll, Dept Radiol, New York, NY USA
来源：
INVERSE PROBLEMS IN SCIENCE AND ENGINEERING | 2020年 / 28卷 / 08期
基金：
奥地利科学基金会;
关键词：
Brain imaging; MRI; cerebral haemodynamics; pulse wave velocity; magnetic resonance advection imaging; inverse problems; space-time discretization; regularization; CGNE; PULSE-WAVE VELOCITY; ELASTIC PROPERTIES; RISK-FACTORS; AGE; REFLECTION; AORTA;
D O I：
10.1080/17415977.2019.1708911
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
We consider the inverse problem of estimating the spatially varying pulse wave velocity in blood vessels in the brain from dynamic MRI data, as it appears in the recently proposed imaging technique of Magnetic Resonance Advection Imaging (MRAI). The problem is formulated as a linear operator equation with a noisy operator and solved using a conjugate gradient-type approach. Numerical examples on experimental data show the usefulness and advantages of the developed algorithm in comparison to previously proposed methods.
引用
收藏
页码：1154 / 1165
页数：12
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