MR-less high dimensional spatial normalization of (11)C PiB PET images on a population of elderly, mild cognitive impaired and alzheimer disease patients

Fripp, Jurgen, Bourgeat, Pierrick, Raniga, Parnesh, Acosta, Oscar, Villemagne, Victor, Jones, Gareth, O'keefe, Graeme, Rowe, Christopher, Ourselin, Sébastien and Salvado, Olivier (2008). MR-less high dimensional spatial normalization of (11)C PiB PET images on a population of elderly, mild cognitive impaired and alzheimer disease patients. In: Medical Image Computing and Computer-Assisted Intervention - Miccai 2008, Pt I, Proceedings. 11th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2008), New York, NY, U.S.A., (442-449). 6-10 September 2008. doi:10.1007/978-3-540-85988-8_53


Author Fripp, Jurgen
Bourgeat, Pierrick
Raniga, Parnesh
Acosta, Oscar
Villemagne, Victor
Jones, Gareth
O'keefe, Graeme
Rowe, Christopher
Ourselin, Sébastien
Salvado, Olivier
Title of paper MR-less high dimensional spatial normalization of (11)C PiB PET images on a population of elderly, mild cognitive impaired and alzheimer disease patients
Formatted title
MR-less high dimensional spatial normalization of 11C PiB PET images on a population of elderly, mild cognitive impaired and alzheimer disease patients
Conference name 11th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2008)
Conference location New York, NY, U.S.A.
Conference dates 6-10 September 2008
Proceedings title Medical Image Computing and Computer-Assisted Intervention - Miccai 2008, Pt I, Proceedings   Check publisher's open access policy
Journal name Lecture Notes in Computer Science   Check publisher's open access policy
Place of Publication Heidelberg, Germany
Publisher Springer
Publication Year 2008
Sub-type Fully published paper
DOI 10.1007/978-3-540-85988-8_53
ISBN 9783540859871
354085987X
ISSN 0302-9743
1611-3349
Volume 5241
Start page 442
End page 449
Total pages 8
Language eng
Formatted Abstract/Summary
β− amyloid (Aβ) plaques are one of the neuropathological hallmarks of Alzheimer’s disease (AD) and can be quantified using the marker PiB. As PiB PET images have limited anatomical information, an Magnetic Resonance Image (MRI) is usually acquired to perform the spatial normalization needed for population analysis. We designed and evaluated a high dimensional spatial normalization approach that only uses the PiB PET image. The non-rigid registration (NRR) is based on free form deformation (FFD) modelled using B-splines. To compensate for the limited anatomical information, the FFD is constrained to an allowable transform space using a model trained from MR registrations. Aβ deposition is dependent on disease staging, so a spatially normalized PiB PET appearance model selects and refines the atlas. The approach was compared with MR NRR using data from healthy elderly, mild cognitive impaired and Alzheimer disease participants. Using segmentation propagation, an average Dice similarity coefficient of 0.64 and 0.73 was obtained for white and gray matter. The R-squared correlation between the uptake obtained in the frontal, parietal, occipital and temporal was 0.789, 0.843, 0.871 and 0.964. These are very promising results, considering the low resolution of PiB PET images.
Keyword Pittsburgh compound-B
Nonrigid registration
Segmentation
Construction
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

 
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