Quantifying Cerebellum Grey Matter and White Matter Perfusion Using Pulsed Arterial Spin Labeling
| Autor: | Xiufeng Li, David E. Purdy, Richard W. Briggs, Subhendra N. Sarkar |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Adult
Male Cerebellum Article Subject lcsh:Medicine Grey matter computer.software_genre General Biochemistry Genetics and Molecular Biology White matter Quantitative perfusion Voxel medicine Humans General Immunology and Microbiology Chemistry business.industry lcsh:R General Medicine Cerebral Arteries Radiography medicine.anatomical_structure nervous system Cerebral blood flow Cerebrovascular Circulation Pulsatile Flow Arterial spin labeling Spin Labels Nuclear medicine business computer Perfusion Blood Flow Velocity Magnetic Resonance Angiography circulatory and respiratory physiology Research Article |
| Zdroj: | BioMed Research International BioMed Research International, Vol 2014 (2014) |
| ISSN: | 2314-6141 2314-6133 |
| DOI: | 10.1155/2014/108691 |
| Popis: | To facilitate quantification of cerebellum cerebral blood flow (CBF), studies were performed to systematically optimize arterial spin labeling (ASL) parameters for measuring cerebellum perfusion, segment cerebellum to obtain separate CBF values for grey matter (GM) and white matter (WM), and compare FAIR ASST to PICORE. Cerebellum GM and WM CBF were measured with optimized ASL parameters using FAIR ASST and PICORE in five subjects. Influence of volume averaging in voxels on cerebellar grey and white matter boundaries was minimized by high-probability threshold masks. Cerebellar CBF values determined by FAIR ASST were 43.8 ± 5.1 mL/100 g/min for GM and 27.6 ± 4.5 mL/100 g/min for WM. Quantitative perfusion studies indicated that CBF in cerebellum GM is 1.6 times greater than that in cerebellum WM. Compared to PICORE, FAIR ASST produced similar CBF estimations but less subtraction error and lower temporal, spatial, and intersubject variability. These are important advantages for detecting group and/or condition differences in CBF values. |
| Databáze: | OpenAIRE |
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