Quality assurance of human functional magnetic resonance imaging: a literature review

Quantitative Imaging in Medicine and Surgery
Weizhao LuJianfeng Qiu

Abstract

Functional magnetic resonance imaging (fMRI) has been a popular approach in brain research over the past 20 years. It offers a noninvasive method to probe the brain and uses blood oxygenation level dependent (BOLD) signal changes to access brain function. However, the BOLD signal only represents a small fraction of the total MR signal. System instability and various noise have a strong impact on the BOLD signal. Additionally, fMRI applies fast imaging technique to record brain cognitive process over time, requiring high temporal stability of MR scanners. Furthermore, data acquisition, image quality, processing, and statistical analysis methods also have a great effect on the results of fMRI studies. Quality assurance (QA) programs for fMRI can test the stability of MR scanners, evaluate the quality of fMRI and help to find errors during fMRI scanning, thereby greatly enhancing the success rate of fMRI. In this review, we focus on previous studies which developed QA programs and methods in SCI/SCIE citation peer-reviewed publications over the last 20 years, including topics on existing fMRI QA programs, QA phantoms, image QA metrics, quality evaluation of existing preprocessing pipelines and fMRI statistical analysis methods. Th...Continue Reading

Citations

Apr 20, 2020·Journal of Applied Clinical Medical Physics·Xiangyu YangDavid Hintenlang
Feb 14, 2020·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Mariusz OszustRafał Obuchowicz
Oct 6, 2020·Evidence-based Complementary and Alternative Medicine : ECAM·Zhen GaoLaixi Ji
Nov 17, 2020·Nutrition & Dietetics : the Journal of the Dietitians Association of Australia·Christie BennettJudi Porter
Jan 16, 2021·F1000Research·Christopher P Cheng, Yaroslav O Halchenko

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