Literature DB >> 23891434

A comparison and evaluation of reduced-FOV methods for multi-slice 7T human imaging.

Christopher J Wargo1, Jay Moore, John C Gore.   

Abstract

Eight different reduced field-of-view (FOV) MRI techniques suitable for high field human imaging were implemented, optimized, and evaluated at 7T. These included selective Inner-Volume Imaging (IVI) based methods, and Outer-Volume Suppression (OVS) techniques, some of which were previously unexplored at ultra-high fields. Design considerations included use of selective composite excitation and adiabatic refocusing radio-frequency (RF) pulses to address B1 inhomogeneities, twice-refocused spin echo techniques, frequency-modulated pulses to sharply define suppressed regions, and pulse sequence designs to improve SNR in multi-slice scans. The different methods were quantitatively compared in phantoms and in vivo human brain images to provide measurements of relative signal to noise ratio (SNR), power deposition (specific absorption rate, SAR), suppression of signal, artifact strength and prevalence, and general image quality. Multi-slice signal losses in out-of-slice locations were simulated for IVI methods, and then measured experimentally across a range of slice numbers. Corrections for B1 nonuniformities demonstrated an improved SNR and a reduction in artifact power in the reduced-FOV, but produced an elevated SAR. Multi-slice sequences with reordering of pulses in traditional and twice-refocused IVI techniques demonstrated an improved SNR compared to conventional methods. The combined results provide a basis for use of reduced-FOV techniques for human imaging localized to a small FOV at 7T.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  2DRF; 7T; Adiabatic refocusing; BISTRO; CE-IVI; Composite pulses; IVI; Inner volume; MS-IVI; OVS; RF design; Reduced-FOV; TRACE; Twice refocused; ZOOM

Mesh:

Year:  2013        PMID: 23891434      PMCID: PMC3947502          DOI: 10.1016/j.mri.2013.05.003

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


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