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Proceedings Paper

Quantitative characterization of brain β-amyloid using a joint PiB/FDG PET image histogram
Author(s): Jon J. Camp; Dennis P. Hanson; David R. Holmes III; Bradley J. Kemp; Matthew L. Senjem; Melissa E. Murray; Dennis W. Dickson; Joseph Parisi; Ronald C. Petersen; Val J. Lowe; Richard A. Robb
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Paper Abstract

A complex analysis performed by spatial registration of PiB and MRI patient images in order to localize the PiB signal to specific cortical brain regions has been proven effective in identifying imaging characteristics associated with underlying Alzheimer’s Disease (AD) and Lewy Body Disease (LBD) pathology. This paper presents an original method of image analysis and stratification of amyloid-related brain disease based on the global spatial correlation of PiB PET images with 18F-FDG PET images (without MR images) to categorize the PiB signal arising from the cortex. Rigid registration of PiB and 18F-FDG images is relatively straightforward, and in registration the 18F-FDG signal serves to identify the cortical region in which the PiB signal is relevant. Cortical grey matter demonstrates the highest levels of amyloid accumulation and therefore the greatest PiB signal related to amyloid pathology. The highest intensity voxels in the 18F-FDG image are attributed to the cortical grey matter. The correlation of the highest intensity PiB voxels with the highest 18F-FDG values indicates the presence of β-amyloid protein in the cortex in disease states, while correlation of the highest intensity PiB voxels with mid-range 18F-FDG values indicates only nonspecific binding in the white matter.

Paper Details

Date Published: 24 March 2014
PDF: 8 pages
Proc. SPIE 9035, Medical Imaging 2014: Computer-Aided Diagnosis, 90352A (24 March 2014); doi: 10.1117/12.2042880
Show Author Affiliations
Jon J. Camp, Mayo Clinic (United States)
Dennis P. Hanson, Mayo Clinic (United States)
David R. Holmes III, Mayo Clinic (United States)
Bradley J. Kemp, Mayo Clinic (United States)
Matthew L. Senjem, Mayo Clinic (United States)
Melissa E. Murray, Mayo Clinic (United States)
Dennis W. Dickson, Mayo Clinic (United States)
Joseph Parisi, Mayo Clinic (United States)
Ronald C. Petersen, Mayo Clinic (United States)
Val J. Lowe, Mayo Clinic (United States)
Richard A. Robb, Mayo Clinic (United States)

Published in SPIE Proceedings Vol. 9035:
Medical Imaging 2014: Computer-Aided Diagnosis
Stephen Aylward; Lubomir M. Hadjiiski, Editor(s)

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