Fast and Calibrationless Low-Rank Parallel Imaging Reconstruction Through Unrolled Deep Learning Estimation of Multi-Channel Spatial Support Maps

Author:

Yi Zheyuan1ORCID,Hu Jiahao1,Zhao Yujiao1ORCID,Xiao Linfang1,Liu Yilong1ORCID,Leong Alex T. L.1,Chen Fei2ORCID,Wu Ed X.1ORCID

Affiliation:

1. Laboratory of Biomedical Imaging and Signal Processing and Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China

2. Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China

Funder

Hong Kong Research Grant Council

Guangdong Key Technologies for Treatment of Brain Disorders

Guangdong Key Technologies for Alzheimer’s Disease Diagnosis and Treatment

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Reference55 articles.

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2. Robust autocalibrated structured low‐rank EPI ghost correction

3. Fast calibrationless image-space reconstruction by structured low-rank tensor estimation of coil sensitivity and spatial support;yi;Proc 29th Annu Meeting ISMRM,2021

4. LORAKS software version 2.0: Faster implementation and enhanced capabilities;kim,2018

5. SANTIS: Sampling‐Augmented Neural neTwork with Incoherent Structure for MR image reconstruction

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