https://scholars.lib.ntu.edu.tw/handle/123456789/426872
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Wu Wen-Chau | en_US |
dc.contributor.author | Lin S.-C | en_US |
dc.contributor.author | Wang D.J | en_US |
dc.contributor.author | Chen K.-L | en_US |
dc.contributor.author | Li Y.-D. | en_US |
dc.creator | Wu Wen-Chau;Lin S.-C;Wang D.J;Chen K.-L;Li Y.-D. | - |
dc.date.accessioned | 2019-10-18T01:23:17Z | - |
dc.date.available | 2019-10-18T01:23:17Z | - |
dc.date.issued | 2013 | - |
dc.identifier.issn | 1932-6203 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84891910738&doi=10.1371%2fjournal.pone.0082679&partnerID=40&md5=1ddf13f6ce523d75794aebc95dcc8e5c | - |
dc.identifier.uri | https://scholars.lib.ntu.edu.tw/handle/123456789/426872 | - |
dc.description.abstract | Purpose: This study was aimed to experimentally and numerically investigate the feasibility of measuring cerebral white matter perfusion using pseudocontinuous arterial spin labeling (PCASL) 3T magnetic resonance imaging (MRI) at a relatively fine resolution to mitigate partial volume effect from gray matter. Materials and Methods: The Institutional Research Ethics Committee approved this study. On a clinical 3T MR system, ten healthy volunteers (5 females, 5 males, age = 28±3 years) were scanned after providing written informed consent. PCASL imaging was performed with varied combinations of labeling duration (τ = 1000, 1500, 2000, and 2500 ms) and post-labeling delay (PLD = 1000, 1400, 1800, and 2200 ms), at a spatial resolution (1.56×1.56×5 mm3) finer than commonly used (3.5×3.5 mm2, 5-8 mm in thickness). Computer simulations were performed to calculate the achievable perfusion-weighted signal-to-noise ratio at varied τ, PLD, and transit delay.Results: Based on experimental and numerical data, the optimal τ and PLD were found to be 2000 ms and 1500-1800 ms, respectively, yielding adequate SNR (?2) to support perfusion measurement in the majority (?60%) of white matter. The measurement variability was about 9% in a one-week interval. The measured white matter perfusion and perfusion ratio of gray matter to white matter were 15.8-27.5 ml/100ml/min and 1.8-4.0, respectively, depending on spatial resolution as well as the amount of deep white matter included. Conclusion: PCASL 3T MRI is able to measure perfusion in the majority of cerebral white matter at an adequate signal-to-noise ratio by using appropriate tagging duration and post-labeling delay. Although pixel-wise comparison may not be possible, region-of-interest based flow quantification is feasible. ? 2013 Wu et al. | - |
dc.language.iso | English | - |
dc.relation.ispartof | PLoS ONE | - |
dc.subject.classification | [SDGs]SDG3 | - |
dc.subject.other | adult; article; brain function; brain perfusion; brain region; brain size; cohort analysis; computer simulation; controlled study; feasibility study; female; functional assessment; gray matter; human; human experiment; image analysis; male; mathematical computing; neuroimaging; nuclear magnetic resonance imaging; perfusion weighted imaging; pseudocontinuous arterial spin labeling; quantitative analysis; reliability; signal noise ratio; spin labeling; three dimensional imaging; white matter; Adult; Brain; Cerebrovascular Circulation; Computer Simulation; Female; Healthy Volunteers; Humans; Magnetic Resonance Angiography; Male; Reproducibility of Results; Signal-To-Noise Ratio; Spin Labels; Time Factors | - |
dc.title | Measurement of cerebral white matter perfusion using pseudocontinuous arterial spin labeling 3T magneticresonance imaging - An experimental and theoretical investigation of feasibility | en_US |
dc.type | journal article | en |
dc.identifier.doi | 10.1371/journal.pone.0082679 | - |
dc.identifier.pmid | 24324822 | - |
dc.identifier.scopus | 2-s2.0-84891910738 | - |
dc.relation.journalvolume | 8 | - |
dc.relation.journalissue | 12 | - |
item.languageiso639-1 | English | - |
item.cerifentitytype | Publications | - |
item.fulltext | no fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.openairetype | journal article | - |
item.grantfulltext | none | - |
crisitem.author.dept | Medical Device and Imaging | - |
crisitem.author.dept | Radiology | - |
crisitem.author.dept | Biomedical Electronics and Bioinformatics | - |
crisitem.author.dept | Master's Program in Smart Medicine and Health Informatics (SMARTMHI) | - |
crisitem.author.orcid | 0000-0002-4040-2771 | - |
crisitem.author.parentorg | College of Medicine | - |
crisitem.author.parentorg | College of Medicine | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | International College | - |
顯示於: | 醫療器材與醫學影像研究所 |
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