Joint calibrationless reconstruction of highly undersampled multicontrast MR datasets using a low‐rank Hankel tensor completion framework

Volume: 85, Issue: 6, Pages: 3256 - 3271
Published: Feb 3, 2021
Abstract
Purpose To jointly reconstruct highly undersampled multicontrast two-dimensional (2D) datasets through a low-rank Hankel tensor completion framework. Methods A multicontrast Hankel tensor completion (MC-HTC) framework is proposed to exploit the shareable information in multicontrast datasets with respect to their highly correlated image structure, common spatial support, and shared coil sensitivity for joint reconstruction. This is achieved by...
Paper Details
Title
Joint calibrationless reconstruction of highly undersampled multicontrast MR datasets using a low‐rank Hankel tensor completion framework
Published Date
Feb 3, 2021
Volume
85
Issue
6
Pages
3256 - 3271
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