Literature DB >> 24285593

Slice accelerated gradient-echo spin-echo dynamic susceptibility contrast imaging with blipped CAIPI for increased slice coverage.

Cornelius Eichner1, Kourosh Jafari-Khouzani, Stephen Cauley, Himanshu Bhat, Pavlina Polaskova, Ovidiu C Andronesi, Otto Rapalino, Robert Turner, Lawrence L Wald, Steven Stufflebeam, Kawin Setsompop.   

Abstract

PURPOSE: To improve slice coverage of gradient echo spin echo (GESE) sequences for dynamic susceptibility contrast (DSC) MRI using a simultaneous-multiple-slice (SMS) method.
METHODS: Data were acquired on 3 Tesla (T) MR scanners with a 32-channel head coil. To evaluate use of SMS for DSC, an SMS GESE sequence with two-fold slice coverage and same temporal sampling was compared with a standard GESE sequence, both with 2× in-plane acceleration. A signal to noise ratio (SNR) comparison was performed on one healthy subject. Additionally, data with Gadolinium injection were collected on three patients with glioblastoma using both sequences, and perfusion analysis was performed on healthy tissues as well as on tumor.
RESULTS: Retained SNR of SMS DSC is 90% for a gradient echo (GE) and 99% for a spin echo (SE) acquisition, compared with a standard acquisition without slice acceleration. Comparing cerebral blood volume maps, it was observed that the results of standard and SMS acquisitions are comparable for both GE and SE images.
CONCLUSION: Two-fold slice accelerated DSC MRI achieves similar SNR and perfusion metrics as a standard acquisition, while allowing a significant increase in slice coverage of the brain. The results also point to a possibility to improve temporal sampling rate, while retaining the same slice coverage.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  CAIPIRINHA; DSC; GESE; SMS; blipped CAIPI; brain tumor

Mesh:

Substances:

Year:  2013        PMID: 24285593      PMCID: PMC4002660          DOI: 10.1002/mrm.24960

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


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