Cluster analysis in kinetic modelling of the brain: a noninvasive alternative to arterial sampling
- 29 February 2004
- journal article
- research article
- Published by Elsevier in NeuroImage
- Vol. 21 (2) , 483-493
- https://doi.org/10.1016/j.neuroimage.2003.09.058
Abstract
No abstract availableKeywords
This publication has 18 references indexed in Scilit:
- Feature‐space clustering for fMRI meta‐analysisHuman Brain Mapping, 2001
- lyngby 2.0 — A modeler's matlab tool☐ for spatio-temporal analysis of functional neuroimagesNeuroImage, 2000
- A hierarchical clustering method for analyzing functional MR imagesMagnetic Resonance Imaging, 1999
- On Clustering fMRI Time SeriesNeuroImage, 1999
- A new correlation‐based fuzzy logic clustering algorithm for FMRIMagnetic Resonance in Medicine, 1998
- Noninvasive Quantification of the Cerebral Metabolic Rate for Glucose Using Positron Emission Tomography, 18F-Fluoro-2-Deoxyglucose, the Patlak Method, and an Image-Derived Input FunctionJournal of Cerebral Blood Flow & Metabolism, 1998
- Parametric Imaging of Ligand-Receptor Binding in PET Using a Simplified Reference Region ModelNeuroImage, 1997
- A technique for extracting physiological parameters and the required input function simultaneously from PET image measurements: theory and simulation studyIEEE Transactions on Information Technology in Biomedicine, 1997
- Evaluation of Regional Differences of Tracer Appearance Time in Cerebral Tissues Using [15O]Water and Dynamic Positron Emission TomographyJournal of Cerebral Blood Flow & Metabolism, 1988
- Error Analysis of a Quantitative Cerebral Blood Flow Measurement Using H215O Autoradiography and Positron Emission Tomography, with Respect to the Dispersion of the Input FunctionJournal of Cerebral Blood Flow & Metabolism, 1986