A Super-Resolution Framework for 3-D High-Resolution and High-Contrast Imaging Using 2-D Multislice MRI

被引：87

作者：

Shilling, Richard Z. ^{[1
]}

Robbie, Trevor Q. ^{[2
]}

Bailloeul, Timothee ^{[5
]}

Mewes, Klaus ^{[3
]}

Mersereau, Russell M. ^{[1
]}

Brummer, Marijn E. ^{[4
]}

机构：

[1] Georgia Inst Technol, Dept Elect & Comp Engn, Atlanta, GA 30332 USA

[2] Emory Univ, Dept Pediat, Atlanta, GA 30322 USA

[3] Emory Univ, Dept Neurol, Atlanta, GA 30322 USA

[4] Emory Univ, Dept Pediat & Radiol, Atlanta, GA 30322 USA

[5] Ricoh Software Res Ctr Beijing, Beijing 100044, Peoples R China

来源：

IEEE TRANSACTIONS ON MEDICAL IMAGING | 2009年 / 28卷 / 05期

关键词：

Brain imaging; multislice magnetic resonance imaging (MRI); projection onto convex sets (POCS); super-resolution; SUBTHALAMIC NUCLEUS; TECHNICAL APPROACH; RECONSTRUCTION; VISUALIZATION; ANGIOGRAPHY; ACQUISITION;

D O I：

10.1109/TMI.2008.2007348

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A novel super-resolution reconstruction (SRR) framework in magnetic resonance imaging (MRI) is proposed. Its purpose is to produce images of both high resolution and high contrast desirable for image-guided minimally invasive brain surgery. The input data are multiple 2-D multislice inversion recovery MRI scans acquired at orientations with regular angular spacing rotated around a common frequency encoding axis. The output is a 3-D volume of isotropic high resolution. The inversion process resembles a localized projection reconstruction problem. Iterative algorithms for reconstruction are based on the projection onto convex sets (POCS) formalism. Results demonstrate resolution enhancement in simulated phantom studies, and ex vivo and in vivo human brain scans, carried out on clinical scanners. A comparison with previously published SRR methods shows favorable characteristics in the proposed approach.

引用

页码：633 / 644

页数：12

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