Automatic and Reproducible Positioning of Phase-Contrast MRI for the Quantification of Global Cerebral Blood Flow

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dc.contributor.ISNI0000 0001 3618 6298 (Filbey, FM)
dc.contributor.ISNI0000 0001 2904 8428 (Cao, Y)
dc.contributor.VIAF11522796 (Cao, Y)
dc.contributor.authorLiu, Peiyingen_US
dc.contributor.authorLu, Hanzhangen_US
dc.contributor.authorFilbey, Francesca M.en_US
dc.contributor.authorPinkham, Amy E.en_US
dc.contributor.authorMcAdams, Carrie J.en_US
dc.contributor.authorAdinoff, Bryonen_US
dc.contributor.authorDaliparthi, Vamsien_US
dc.contributor.authorCao, Yanen_US
dc.contributor.utdAuthorFilbey, Francesca M.
dc.contributor.utdAuthorCao, Yan
dc.date.accessioned2014-10-07T17:00:40Z
dc.date.available2014-10-07T17:00:40Z
dc.date.created2014-05
dc.description.abstractPhase-Contrast MRI (PC-MRI) is a noninvasive technique to measure blood flow. In particular, global but highly quantitative cerebral blood flow (CBF) measurement using PC-MRI complements several other CBF mapping methods such as arterial spin labeling and dynamic susceptibility contrast MRI by providing a calibration factor. The ability to estimate blood supply in physiological units also lays a foundation for assessment of brain metabolic rate. However, a major obstacle before wider applications of this method is that the slice positioning of the scan, ideally placed perpendicular to the feeding arteries, requires considerable expertise and can present a burden to the operator. In the present work, we proposed that the majority of PC-MRI scans can be positioned using an automatic algorithm, leaving only a small fraction of arteries requiring manual positioning. We implemented and evaluated an algorithm for this purpose based on feature extraction of a survey angiogram, which is of minimal operator dependence. In a comparative test-retest study with 7 subjects, the blood flow measurement using this algorithm showed an inter-session coefficient of variation (CoV) of 4.07 ± 3.03%. The Bland-Altman method showed that the automatic method differs from the manual method by between -8% and 11%, for 95% of the CBF measurements. This is comparable to the variance in CBF measurement using manually-positioned PC MRI alone. In a further application of this algorithm to 157 consecutive subjects from typical clinical cohorts, the algorithm provided successful positioning in 89.7% of the arteries. In 79.6% of the subjects, all four arteries could be planned using the algorithm. Chi-square tests of independence showed that the success rate was not dependent on the age or gender, but the patients showed a trend of lower success rate (p = 0.14) compared to healthy controls. In conclusion, this automatic positioning algorithm could improve the application of PC-MRI in CBF quantification.en_US
dc.description.sponsorshipUS National Institutes of Health (R01 MH084021; R01 NS067015; R21 AG034318; R01 AG042753; R21 NS078656; R01 DA023203). US National Science Foundation (DMS-0914910).en_US
dc.identifier.bibliographicCitationLiu, Peiying, Hanzhang Lu, Francesca M. Filbey, Amy E. Pinkham, et al. 2014. "Automatic and Reproducible Positioning of Phase-Contrast MRI for the Quantification of Global Cerebral Blood Flow." PLOS One 9(5): e95721-1 to 10.en_US
dc.identifier.issn1932-6203en_US
dc.identifier.issue5en_US
dc.identifier.startpagee95721-1en_US
dc.identifier.urihttp://hdl.handle.net/10735.1/4089
dc.identifier.volume9en_US
dc.language.isoenen_US
dc.publisherPublic Library of Scienceen_US
dc.relation.urihttp://dx.doi.org/10.1371/journal.pone.0095721
dc.rightsCC BY 4.0 (Attribution)en_US
dc.rights©2014 The Authors.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.source.journalPLOS Oneen_US
dc.subjectMagnetic resonance imagingen_US
dc.subjectAlgorithmsen_US
dc.subjectPractice guidelinesen_US
dc.subjectCerebral circulationen_US
dc.subjectNeuroimagingen_US
dc.titleAutomatic and Reproducible Positioning of Phase-Contrast MRI for the Quantification of Global Cerebral Blood Flowen_US
dc.typeTexten_US
dc.type.genrearticleen_US

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