NDLI: Construction and evaluation of a quantitative arterial spin labeling brain perfusion template at 3T

Content Provider	IEEE Xplore Digital Library
Author	Petr, J. Ferre, J. Bannier, E. Raoult, H. Gauvrit, J. Barillot, C.
Copyright Year	2011
Description	Author affiliation: Neurinfo Platform, University Hospital of Rennes, F-35043, France (Bannier, E.) \|\| Neuroradiology Dept., University Hospital of Rennes, F-35043, France (Raoult, H.) \|\| INRIA, VisAGeS Project-Team, F-35042 Rennes, France (Petr, J.; Ferre, J.; Gauvrit, J.; Barillot, C.)
Abstract	Arterial spin labeling (ASL) allows non-invasive imaging and quantification of brain perfusion by magnetically labeling blood in the brain-feeding arteries. ASL has been used to study cerebrovascular diseases, brain tumors and neurodegenerative disorders as well as for functional imaging. The use of a perfusion template could be of great interest to study inter-subject regional variation of perfusion and to perform automatic detection of individual perfusion abnormalities. However, low spatial resolution and partial volume effects (PVE) issues inherent to ASL acquisitions remain to be solved. The purpose of this study is to enhance the template quality by using DARTEL non-rigid registration and by correcting for PVE. PICORE-Q2TIPS ASL datasets were acquired on 25 healthy volunteers at 3T. Four methods of creating the template were evaluated using leave-one-out cross correlation. Subsequently, these methods were applied to hyper-perfusion detection on functional ASL data of 8 healthy volunteers and compared with the standard generalized linear model (GLM) activation detection.
Starting Page	1035
Ending Page	1038
File Size	656372
Page Count	4
File Format	PDF
ISBN	9781424441273
ISSN	19457928
DOI	10.1109/ISBI.2011.5872578
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Labeling Magnetic resonance imaging Blood Pixel Signal to noise ratio Image segmentation atlases arterial spin labeling MRI partial volume functional MRI
Content Type	Text
Resource Type	Article

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