Volume 12 Supplement 1
Evaluation of functional arterial spin labeling data using a perfusion template
© Petr et al; licensee BioMed Central Ltd. 2011
Published: 18 July 2011
ASL allows non-invasive imaging and quantification of brain perfusion by magnetically labeling blood in the brain-feeding arteries. In this study, a template created from perfusion images of 25 resting healthy subjects was used to automatically detect hyper perfusion patterns of 8 other subjects. DARTEL registration was used to improve the precision of the template and partial volume correction to prevent interpolation artifacts.
This study shows that a perfusion template can be used to assess task-related activation zones in functional ASL data while using only activated phase. Two assumptions can be made to explain why standard functional analysis yields slightly larger activation regions. First, the use of FWHM 6mm Gaussian kernel possibly enlarges the detected zones. Second, the data analyzed using SPM contains both resting and activated phases whereas only the activated phase was compared to the template. Future work will focus on detection of hyperperfusion in different neurodegenerative diseases taking into account registration issues of pathological T1 images.
- Ashburner J: A fast diffeomorphic image registration algorithm. NeuroImage. 2007, 38: 95-113. 10.1016/j.neuroimage.2007.07.007.View ArticlePubMedGoogle Scholar
- Buxton RB, Frank LR, Wong LC, Siewert B, Warach S, Edelman RR: A general kinetic model for quantitative perfusion imaging with arterial spin labeling. Magn Reson Med. 1998, 40: 383-396. 10.1002/mrm.1910400308.View ArticlePubMedGoogle Scholar
- Luh WM, Wong EC, Bandettini PA, Hyde JS: QUIPSS II with thin-slice TI1 periodic saturation: a method for improving accuracy of quantitative perfusion imaging using pulsed ASL. Magn Reson Med. 41: 1246-1254. 10.1002/(SICI)1522-2594(199906)41:6<1246::AID-MRM22>3.0.CO;2-N.Google Scholar
- Petr J, Ferre JC, Gauvrit JY, Barillot C: Denoising ASL MRI using tissue partial volume. SPIE. 2010Google Scholar
- Mazziotta JC, Toga AW, Evans A, Fox P, Lancaster J: A Probablistic Atlas of the Human Brain: Theory and Rationale for Its Development. NeuroImage. 1995, 2: 89-101. 10.1006/nimg.1995.1012.View ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.