Additive global cerebral blood flow normalization in arterial spin labeling perfusion imaging
1
Neurology, Washington University School of Medicine, St Louis, Missouri, USA
2
Psychiatry, Washington University School of Medicine, St Louis, Missouri, USA
3
Radiology, Washington University School of Medicine, St Louis, Missouri, USA
4
Anatomy and Neurobiology, Washington University School of Medicine, St Louis, Missouri, USA
5
Division of Biology and Biomedical Sciences, Washington University School of Medicine, St Louis, Missouri, USA
6
Programs in Physical Therapy and Occupational Therapy, Washington University School of Medicine, St Louis, Missouri, USA
- Published
- Accepted
- Subject Areas
- Neuroscience, Neurology
- Keywords
- cerebral blood flow, ASL, arterial spin labeling, fMRI, functional magnetic resonance imaging, cerebral blood flow measurement, Parkinson’s disease
- Copyright
- © 2014 Stewart et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ PrePrints) and either DOI or URL of the article must be cited.
- Cite this article
- 2014. Additive global cerebral blood flow normalization in arterial spin labeling perfusion imaging. PeerJ PrePrints 2:e464v2 https://doi.org/10.7287/peerj.preprints.464v2
Abstract
To determine how different methods of normalizing for global cerebral blood flow (gCBF) affect image quality and sensitivity to cortical activation, pulsed arterial spin labeling (pASL) scans obtained during a visual task were normalized by either additive or multiplicative normalization of modal gCBF. Normalization by either method increased the statistical significance of cortical activation by a visual stimulus. However, image quality was superior with additive normalization by visual inspection, by comparing intensity histograms, and by reduction of the variability within gray and white matter.
Author Comment
This is an updated revision based on reviewers comments.