Please use this identifier to cite or link to this item: http://ahro.austin.org.au/austinjspui/handle/1/12042
Title: MR-less surface-based amyloid assessment based on 11C PiB PET.
Authors: 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
Institutional Author: AIBL Research Group
Affiliation: CSIRO Preventative Health Flagship, CSIRO Computational Informatics, The Australian e-Health Research Centre, Herston, Australia ; Department of Computer Science and Software Engineering, University of Wollongong, Wollongong, Australia.
CSIRO Preventative Health Flagship, CSIRO Computational Informatics, The Australian e-Health Research Centre, Herston, Australia.
CSIRO Preventative-Health National Research Flagship, Parkville, Australia.
National Ageing Research Institute, Parkville, Australia ; Academic Unit for Psychiatry of Old Age, Department of Psychiatry, The University of Melbourne, Kew, Parkville, Australia.
Mental Health Research Institute/Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Australia.
Mental Health Research Institute/Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Australia ; Academic Unit for Psychiatry of Old Age, Department of Psychiatry, The University of Melbourne, Kew, Parkville, Australia.
Department of Nuclear Medicine and Centre for PET, Austin Hospital, Heidelberg, Australia.
Issue Date: 10-Jan-2014
Citation: Plos One 2014; 9(1): e84777
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 (11)C or (18)F 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.The proposed method has been developed using a multi-atlas based approach on (11)C-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.
Internal ID Number: 24427295
URI: http://ahro.austin.org.au/austinjspui/handle/1/12042
DOI: 10.1371/journal.pone.0084777
URL: http://www.ncbi.nlm.nih.gov/pubmed/24427295
Type: Journal Article
Subjects: Aged
Aged, 80 and over
Alzheimer Disease.diagnosis
Amyloid beta-Peptides
Benzothiazoles.diagnostic use
Brain.pathology
Female
Humans
Magnetic Resonance Imaging
Male
Middle Aged
Plaque, Amyloid
Positron-Emission Tomography
Reproducibility of Results
Appears in Collections:Journal articles

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