Rapid dynamic radial MRI via reference image enforced histogram constrained reconstruction

被引:0
|
作者
Gaass, Thomas [1 ]
Bauman, Grzegorz [2 ]
Potdevin, Guillaume [3 ]
Noel, Peter B. [4 ]
Haase, Axel [1 ]
机构
[1] Tech Univ Munich, Zentralinst Med Tech, Garching, Germany
[2] Univ Wisconsin, Dept Med Phys, Sch Med & Publ Hlth, Madison, WI 53706 USA
[3] Tech Univ Munich, Dept Phys, Garching, Germany
[4] Tech Univ Munich, Dept Radiol, Garching, Germany
关键词
Non-Cartesian; Iterative reconstruction; Undersampling; Histogram entropy; Dynamic MRI; MAXIMUM-ENTROPY METHOD; K-T SENSE; ANATOMICAL PRIORS; INFORMATION;
D O I
10.1016/j.jmr.2013.12.011
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Exploiting spatio-temporal redundancies in sub-Nyquist sampled dynamic MRI for the suppression of undersampling artifacts was shown to be of great success. However, temporally averaged and blurred structures in image space composite data poses the risk of false information in the reconstruction. Within this work we assess the possibility of employing the composite image histogram as a measure of undersampling artifacts and as basis of their suppression. The proposed algorithm utilizes a histogram, computed from a composite image within a dynamically acquired interleaved radial MRI measurement as reference to compensate for the impact of undersampling in temporally resolved data without the incorporation of temporal averaging. In addition an image space regularization utilizing a single frame low-resolution reconstruction is implemented to enforce overall contrast fidelity. The performance of the approach was evaluated on a simulated radial dynamic MRI acquisition and on two functional in vivo radial cardiac acquisitions. Results demonstrate that the algorithm maintained contrast properties, details and temporal resolution in the images, while effectively suppressing undersampling artifacts. (c) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码:1 / 7
页数:7
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