Bibliographic Details
| Title: |
Quantitative T1-relaxation corrected metabolite mapping of 12 metabolites in the human brain at 9.4 T |
| Authors: |
Andrew Martin Wright, Saipavitra Murali-Manohar, Anke Henning |
| Source: |
NeuroImage, Vol 263, Iss , Pp 119574- (2022) |
| Publisher Information: |
Elsevier, 2022. |
| Publication Year: |
2022 |
| Collection: |
LCC:Neurosciences. Biological psychiatry. Neuropsychiatry |
| Subject Terms: |
Quantitative, MRSI, Metabolite, Mapping, UHF, Ultra-high field, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571 |
| More Details: |
Magnetic resonance spectroscopic imaging (MRSI) is a non-invasive imaging modality that enables observation of metabolites. Applications of MRSI for neuroimaging have shown promise for monitoring and detecting various diseases. This study builds off previously developed techniques of short TR, 1H FID MRSI by correcting for T1-weighting of the metabolites and utilizing an internal water reference to produce quantitative (mmol kg−1) metabolite maps. This work reports and shows quantitative metabolite maps for 12 metabolites for a single slice. Voxel-specific T1-corrections for water are common in MRSI studies; however, most studies use either averaged T1-relaxation times to correct for T1-weighting of metabolites or omit this correction step entirely. This work employs the use of voxel-specific T1-corrections for metabolites in addition to water. Utilizing averaged T1-relaxation times for metabolites can bias metabolite maps for metabolites that have strong differences between T1-relaxation for GM and WM (i.e. Glu). This work systematically compares quantitative metabolite maps to single voxel quantitative results and qualitatively compares metabolite maps to previous works. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1095-9572 |
| Relation: |
http://www.sciencedirect.com/science/article/pii/S1053811922006899; https://doaj.org/toc/1095-9572 |
| DOI: |
10.1016/j.neuroimage.2022.119574 |
| Access URL: |
https://doaj.org/article/393e135c37d74ebeb6f2827090ff78f0 |
| Accession Number: |
edsdoj.393e135c37d74ebeb6f2827090ff78f0 |
| Database: |
Directory of Open Access Journals |
