MR-Less Surface-Based Amyloid Assessment Based on C-11 PiB PET

Zhou, Luping, Salvado, Olivier, Dore, Vincent, Bourgeat, Pierrick, Raniga, Parnesh, Macaulay, S. Lance, Ames, David, Masters, Colin L., Ellis, Kathryn A., Villemagne, Victor L., Rowe, Christopher C. and Fripp, Jurgen (2014) MR-Less Surface-Based Amyloid Assessment Based on C-11 PiB PET. Plos One, 9 1: e84777.1-e84777.14. doi:10.1371/journal.pone.0084777

Author Zhou, Luping
Salvado, Olivier
Dore, Vincent
Bourgeat, Pierrick
Raniga, Parnesh
Macaulay, S. Lance
Ames, David
Masters, Colin L.
Ellis, Kathryn A.
Villemagne, Victor L.
Rowe, Christopher C.
Fripp, Jurgen
Title MR-Less Surface-Based Amyloid Assessment Based on C-11 PiB PET
Journal name Plos One   Check publisher's open access policy
ISSN 1932-6203
Publication date 2014-01-01
Year available 2014
Sub-type Article (original research)
DOI 10.1371/journal.pone.0084777
Open Access Status DOI
Volume 9
Issue 1
Start page e84777.1
End page e84777.14
Total pages 14
Place of publication San Francisco, United States
Publisher Public Library of Science (PLoS)
Language eng
Formatted abstract
β-amyloid (Aβ) plaques in brain's grey matter (GM) are one of the pathological hallmarks of Alzheimer's disease (AD), and can be imaged in vivo using Positron Emission Tomography (PET) with 11C or 18F radiotracers. Estimating Aβ burden in cortical GM has been shown to improve diagnosis and monitoring of AD. However, lacking structural information in PET images requires such assessments to be performed with anatomical MRI scans, which may not be available at different clinical settings or being contraindicated for particular reasons. This study aimed to develop an MR-less Aβ imaging quantification method that requires only PET images for reliable Aβ burden estimations.

Materials and Methods
The proposed method has been developed using a multi-atlas based approach on 11C-PiB scans from 143 subjects (75 PiB+ and 68 PiB- subjects) in AIBL study. A subset of 20 subjects (PET and MRI) were used as atlases: 1) MRI images were co-registered with tissue segmentation; 2) 3D surface at the GM-WM interfacing was extracted and registered to a canonical space; 3) Mean PiB retention within GM was estimated and mapped to the surface. For other participants, each atlas PET image (and surface) was registered to the subject's PET image for PiB estimation within GM. The results are combined by subject-specific atlas selection and Bayesian fusion to generate estimated surface values.


All PiB+ subjects (N = 75) were highly correlated between the MR-dependent and the PET-only methods with Intraclass Correlation (ICC) of 0.94, and an average relative difference error of 13% (or 0.23 SUVR) per surface vertex. All PiB- subjects (N = 68) revealed visually akin patterns with a relative difference error of 16% (or 0.19 SUVR) per surface vertex.

The demonstrated accuracy suggests that the proposed method could be an effective clinical inspection tool for Aβ imaging scans when MRI images are unavailable.
Keyword Mild Cognitive Impairment
Human Brain
Nonrigid Registration
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: UQ Centre for Clinical Research Publications
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Citation counts: TR Web of Science Citation Count  Cited 7 times in Thomson Reuters Web of Science Article | Citations
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Created: Sat, 08 Mar 2014, 04:42:06 EST by System User on behalf of UQ Centre for Clinical Research