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2007
IEEE

Pib-Pet Segmentation for Automatic Suvr Normalisation without Mr Information

9 years 3 months ago
Pib-Pet Segmentation for Automatic Suvr Normalisation without Mr Information
Pittsburg Compound B (PIB) is a Positron Emission Tomography (PET) radio tracer used to image in-vivo, beta amyloid plaques which are one of the major histopathological hallmarks of Alzheimer’s disease (AD). Quantitative analysis of PIB retention requires normalisation of the PIB uptake values, to allow inter and intra subject comparisons. The standard uptake value ratio (SUVR) normalises the uptake values to the mean uptake value within a region containing nonspecific binding, the cerebellar grey matter in the case of PIB. SUVR calculations are normally performed manually on the PET image by neurologist which is time consuming and nonreproducible. In this study, we present an automatic technique to extract the cerebellar grey matter on PET images, and validate its accuracy for SUVR normalisation on a database of 45 subjects.
Parnesh Raniga, Pierrick Bourgeat, Sébastie
Added 03 Jun 2010
Updated 03 Jun 2010
Type Conference
Year 2007
Where ISBI
Authors Parnesh Raniga, Pierrick Bourgeat, Sébastien Ourselin, Victor Villemagne, Graeme O'Keefe, Christopher Rowe
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