Unknown

Dataset Information

0

RACER-GRASP: Respiratory-weighted, aortic contrast enhancement-guided and coil-unstreaking golden-angle radial sparse MRI.


ABSTRACT: PURPOSE:To develop and evaluate a novel dynamic contrast-enhanced imaging technique called RACER-GRASP (Respiratory-weighted, Aortic Contrast Enhancement-guided and coil-unstReaking Golden-angle RAdial Sparse Parallel) MRI that extends GRASP to include automatic contrast bolus timing, respiratory motion compensation, and coil-weighted unstreaking for improved imaging performance in liver MRI. METHODS:In RACER-GRASP, aortic contrast enhancement (ACE) guided k-space sorting and respiratory-weighted sparse reconstruction are performed using aortic contrast enhancement and respiratory motion signals extracted directly from the acquired data. Coil unstreaking aims to weight multicoil k-space according to streaking artifact level calculated for each individual coil during image reconstruction, so that coil elements containing a high level of streaking artifacts contribute less to the final results. Self-calibrating GRAPPA operator gridding was applied as a pre-reconstruction step to reduce computational burden in the subsequent iterative reconstruction. The RACER-GRASP technique was compared with standard GRASP reconstruction in a group of healthy volunteers and patients referred for clinical liver MR examination. RESULTS:Compared with standard GRASP, RACER-GRASP significantly improved overall image quality (average score: 3.25 versus 3.85) and hepatic vessel sharpness/clarity (average score: 3.58 versus 4.0), and reduced residual streaking artifact level (average score: 3.23 versus 3.94) in different contrast phases. RACER-GRASP also enabled automatic timing of the arterial phases. CONCLUSIONS:The aortic contrast enhancement-guided sorting, respiratory motion suppression and coil unstreaking introduced by RACER-GRASP improve upon the imaging performance of standard GRASP for free-breathing dynamic contrast-enhanced MRI of the liver. Magn Reson Med 80:77-89, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

SUBMITTER: Feng L 

PROVIDER: S-EPMC5876099 | BioStudies | 2018-01-01

REPOSITORIES: biostudies

Similar Datasets

2016-01-01 | S-EPMC4583338 | BioStudies
1000-01-01 | S-EPMC6220806 | BioStudies
2017-01-01 | S-EPMC5040623 | BioStudies
2019-01-01 | S-EPMC6258265 | BioStudies
2019-01-01 | S-EPMC6411681 | BioStudies
2017-01-01 | S-EPMC5643254 | BioStudies
2021-01-01 | S-EPMC7871614 | BioStudies
2012-01-01 | S-EPMC3436920 | BioStudies
2019-01-01 | S-EPMC6792269 | BioStudies
2013-01-01 | S-EPMC3589480 | BioStudies