Detailed Information on Publication Record
2022
Contribution of the multi-echo approach in accelerated functional magnetic resonance imaging multiband acquisition
KOVÁŘOVÁ, Anežka, Martin GAJDOŠ, Ivan REKTOR and Michal MIKLBasic information
Original name
Contribution of the multi-echo approach in accelerated functional magnetic resonance imaging multiband acquisition
Authors
KOVÁŘOVÁ, Anežka (203 Czech Republic, belonging to the institution), Martin GAJDOŠ (203 Czech Republic, belonging to the institution), Ivan REKTOR (203 Czech Republic, belonging to the institution) and Michal MIKL (203 Czech Republic, guarantor, belonging to the institution)
Edition
Human Brain mapping, USA, WILEY, 2022, 1065-9471
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
30103 Neurosciences
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 4.800
RIV identification code
RIV/00216224:14740/22:00125432
Organization unit
Central European Institute of Technology
UT WoS
000712875500001
Keywords in English
acquisition acceleration; BOLD; multi-echo fMRI; simultaneous multi-slice imaging; TE dependence
Tags
International impact, Reviewed
Změněno: 24/10/2024 09:52, Mgr. Adéla Pešková
Abstract
V originále
We wanted to verify the effect of combining multi-echo (ME) functional magnetic resonance imaging (fMRI) with slice acceleration in simultaneous multi-slice acquisition. The aim was to shed light on the benefits of multiple echoes for various acquisition settings, especially for levels of slice acceleration and flip angle. Whole-brain ME fMRI data were obtained from 26 healthy volunteers (using three echoes; seven runs with slice acceleration 1, 4, 6, and 8; and two different flip angles for each of the first three acceleration factors) and processed as single-echo (SE) data and ME data based on optimal combinations weighted by the contrast-to-noise ratio. Global metrics (temporal signal-to-noise ratio, signal-to-noise separation, number of active voxels, etc.) and local characteristics in regions of interest were used to evaluate SE and ME data. ME results outperformed SE results in all runs; the differences became more apparent for higher acceleration, where a significant decrease in data quality is observed. ME fMRI can improve the observed data quality metrics over SE fMRI for a wide range of accelerated fMRI acquisitions.
Links
EF16_013/0001775, research and development project |
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LM2015062, research and development project |
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LM2018129, research and development project |
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