Improved Image Quality for Static BLADE Magnetic Resonance Imaging Using the Total-Variation Regularized Least Absolute Deviation Solver

Improved Image Quality for Static BLADE Magnetic Resonance Imaging Using the Total-Variation Regularized Least Absolute Deviation Solver

In order to improve the image quality of BLADE magnetic resonance imaging (MRI) using the index tensor solvers and to evaluate MRI image quality in a clinical setting, we implemented BLADE MRI reconstructions using two tensor solvers (the least-squares solver and the L1 total-variation regularized l...

Full description

Bibliographic Details
Main Authors: Hsin-Chia Chen, Haw-Chiao Yang, Chih-Ching Chen, Seb Harrevelt, Yu-Chieh Chao, Jyh-Miin Lin, Wei-Hsuan Yu, Hing-Chiu Chang, Chin-Kuo Chang, Feng-Nan Hwang
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Tomography
Subjects:
BLADE MRI
least absolute deviation
graphic processing unit (GPU)
non-uniform fast Fourier transform (NUFFT)
Online Access:https://www.mdpi.com/2379-139X/7/4/48

Internet

https://www.mdpi.com/2379-139X/7/4/48

Similar Items