Optimization of Supervised Cluster Analysis for Extracting Reference Tissue Input Curves in (R)-[11C]PK11195 Brain PET Studies
Open Access
- 16 May 2012
- journal article
- research article
- Published by SAGE Publications in Journal of Cerebral Blood Flow & Metabolism
- Vol. 32 (8), 1600-1608
- https://doi.org/10.1038/jcbfm.2012.59
Abstract
Performance of two supervised cluster analysis (SVCA) algorithms for extracting reference tissue curves was evaluated to improve quantification of dynamic (R)-[11C]PK11195 brain positron emission tomography (PET) studies. Reference tissues were extracted from images using both a manually defined cerebellum and SVCA algorithms based on either four (SVCA4) or six (SVCA6) kinetic classes. Data from controls, mild cognitive impairment patients, and patients with Alzheimer's disease were analyzed using various kinetic models including plasma input, the simplified reference tissue model (RPM) and RPM with vascular correction (RPM V b). In all subject groups, SVCA-based reference tissue curves showed lower blood volume fractions ( V b) and volume of distributions than those based on cerebellum time-activity curve. Probably resulting from the presence of specific signal from the vessel walls that contains in normal condition a significant concentration of the 18 kDa translocation protein. Best contrast between subject groups was seen using SVCA4-based reference tissues as the result of a lower number of kinetic classes and the prior removal of extracerebral tissues. In addition, incorporation of V b in RPM improved both parametric images and binding potential contrast between groups. Incorporation of V b within RPM, together with SVCA4, appears to be the method of choice for analyzing cerebral (R)-[11C]PK11195 neurodegeneration studies.Keywords
This publication has 19 references indexed in Scilit:
- Kinetic filtering of [18F]Fluorothymidine in positron emission tomography studiesPhysics in Medicine & Biology, 2010
- Reference tissue kinetics extraction from [11C]-(R)-PK11195 scans on the high resolution research tomograph (HRRT)NeuroImage, 2008
- Novel Reference Region Model Reveals Increased Microglial and Reduced Vascular Binding of 11C-(R)-PK11195 in Patients with Alzheimer's DiseaseJournal of Nuclear Medicine, 2008
- SPM analysis of parametric (R)-[11C]PK11195 binding images: Plasma input versus reference tissue parametric methodsNeuroImage, 2007
- Development of a Tracer Kinetic Plasma Input Model for (R)-[11C]PK11195 Brain StudiesJournal of Cerebral Blood Flow & Metabolism, 2005
- Positron Emission Tomography Compartmental ModelsJournal of Cerebral Blood Flow & Metabolism, 2001
- Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithmIEEE Transactions on Medical Imaging, 2001
- Comparison and Evaluation of Retrospective Intermodality Brain Image Registration TechniquesJournal of Computer Assisted Tomography, 1997
- Multimodality image registration by maximization of mutual informationIEEE Transactions on Medical Imaging, 1997
- Exact and approximate rebinning algorithms for 3-D PET dataIEEE Transactions on Medical Imaging, 1997