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Real-time motion analytics during brain MRI improve data quality and reduce costs.

Abstract：

:Head motion systematically distorts clinical and research MRI data. Motion artifacts have biased findings from many structural and functional brain MRI studies. An effective way to remove motion artifacts is to exclude MRI data frames affected by head motion. However, such post-hoc frame censoring can lead to data loss rates of 50% or more in our pediatric patient cohorts. Hence, many scanner operators collect additional 'buffer data', an expensive practice that, by itself, does not guarantee sufficient high-quality MRI data for a given participant. Therefore, we developed an easy-to-setup, easy-to-use Framewise Integrated Real-time MRI Monitoring (FIRMM) software suite that provides scanner operators with head motion analytics in real-time, allowing them to scan each subject until the desired amount of low-movement data has been collected. Our analyses show that using FIRMM to identify the ideal scan time for each person can reduce total brain MRI scan times and associated costs by 50% or more.

journal_name

Neuroimage

journal_title

NeuroImage

authors

Dosenbach NUF,Koller JM,Earl EA,Miranda-Dominguez O,Klein RL,Van AN,Snyder AZ,Nagel BJ,Nigg JT,Nguyen AL,Wesevich V,Greene DJ,Fair DA

doi

10.1016/j.neuroimage.2017.08.025

subject

Has Abstract

pub_date

2017-11-01 00:00:00

pages

80-93

eissn

1053-8119

issn

1095-9572

pii

S1053-8119(17)30672-9

journal_volume

161

pub_type

杂志文章

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