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dc.contributor.authorUten Yarachen_US
dc.contributor.authorSuwit Saekhoen_US
dc.contributor.authorKawin Setsompopen_US
dc.contributor.authorAtita Suwannasaken_US
dc.contributor.authorRatthaporn Boonsuthen_US
dc.contributor.authorKittichai Wantanajittikulen_US
dc.contributor.authorSalita Angkurawaranonen_US
dc.contributor.authorChaisiri Angkurawaranonen_US
dc.contributor.authorPrapatsorn Sangpinen_US
dc.description.abstractObjective: Scan time reduction is necessary for volumetric acquisitions to improve workflow productivity and to reduce motion artifacts during MRI procedures. We explored the possibility that Compressed Sensing-4 (CS-4) can be employed with 3D-turbo-field-echo T1-weighted (3D-TFE-T1W) sequence without compromising subcortical measurements on clinical 1.5 T MRI. Materials and methods: Thirty-three healthy volunteers (24 females, 9 males) underwent imaging scans on a 1.5 T MRI equipped with a 12-channel head coil. 3D-TFE-T1W for whole-brain coverage was performed with different acceleration factors, including SENSE-2, SENSE-4, CS-4. Freesurfer, FSL’s FIRST, and volBrain packages were utilized for subcortical segmentation. All processed data were assessed using the Wilcoxon signed-rank test. Results: The results obtained from SENSE-2 were considered as references. For SENSE-4, the maximum signal-to-noise ratio (SNR) drop was detected in the Accumbens (51.96%). For CS-4, the maximum SNR drop was detected in the Amygdala (10.55%). Since the SNR drop in CS-4 is relatively small, the SNR in all of the subcortical volumes obtained from SENSE-2 and CS-4 are not statistically different (P > 0.05), and their Pearson’s correlation coefficients are larger than 0.90. The maximum biases of SENSE-4 and CS-4 were found in the Thalamus with the mean of differences of 1.60 ml and 0.18 ml, respectively. Conclusion: CS-4 provided sufficient quality of 3D-TFE-T1W images for 1.5 T MRI equipped with a 12-channel receiver coil. Subcortical volumes obtained from the CS-4 images are consistent among different post-processing packages.en_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.subjectHealth Professionsen_US
dc.titleFeasibility of accelerated 3D T1-weighted MRI using compressed sensing: application to quantitative volume measurements of human brain structuresen_US
article.title.sourcetitleMagnetic Resonance Materials in Physics, Biology and Medicineen_US
article.volume34en_US University School of Medicineen_US Universityen_US Mai Universityen_US (Thailand) Ltd.en_US
Appears in Collections:CMUL: Journal Articles

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