Systematic review of reconstruction techniques for accelerated quantitative MRI

Author:

Shafieizargar Banafshe12ORCID,Byanju Riwaj3ORCID,Sijbers Jan12ORCID,Klein Stefan3ORCID,den Dekker Arnold J.12ORCID,Poot Dirk H. J.3ORCID

Affiliation:

1. imec‐Vision Lab, Department of Physics University of Antwerp Antwerp Belgium

2. μNEURO Research Centre of Excellence University of Antwerp Antwerp Belgium

3. Department of Radiology and Nuclear Medicine Erasmus MC Rotterdam The Netherlands

Abstract

PurposeTo systematically review the techniques that address undersampling artifacts in accelerated quantitative magnetic resonance imaging (qMRI).MethodsA literature search was conducted using the Embase, Medline, Web of Science Core Collection, Coherence Central Register of Controlled Trials, and Google Scholar databases for studies, published before July 2022 proposing reconstruction techniques for accelerated qMRI. Studies are reviewed according to inclusion criteria, and included studies are categorized based on the methodology used.ResultsA total of 292 studies included in the review are categorized. A technical overview of each category is provided, and the categories are described in a unified mathematical framework. The distribution of the reviewed studies over time, application domain, and parameters of interest is illustrated.ConclusionAn increasing trend in the number of articles that propose new techniques for accelerated qMRI reconstruction indicates the importance of acceleration in qMRI. The techniques are mostly validated for relaxometry parameters and brain scans. The categories of techniques are compared based on theoretical grounds, highlighting existing trends and potential gaps in the field.

Funder

Fonds Wetenschappelijk Onderzoek

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Relaxometry Guided Quantitative Cardiac Magnetic Resonance Image Reconstruction;Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3