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Multi-scale hierarchical approach for parametric mapping: assessment on multi-compartmental models.
- Source :
-
NeuroImage [Neuroimage] 2013 Feb 15; Vol. 67, pp. 344-53. Date of Electronic Publication: 2012 Dec 05. - Publication Year :
- 2013
-
Abstract
- This paper investigates a new hierarchical method to apply basis function to mono- and multi-compartmental models (Hierarchical-Basis Function Method, H-BFM) at a voxel level. This method identifies the parameters of the compartmental model in its nonlinearized version, integrating information derived at the region of interest (ROI) level by segmenting the cerebral volume based on anatomical definition or functional clustering. We present the results obtained by using a two tissue-four rate constant model with two different tracers ([(11)C]FLB457 and [carbonyl-(11)C]WAY100635), one of the most complex models used in receptor studies, especially at the voxel level. H-BFM is robust and its application on both [(11)C]FLB457 and [carbonyl-(11)C]WAY100635 allows accurate and precise parameter estimates, good quality parametric maps and a low percentage of voxels out of physiological bound (<8%). The computational time depends on the number of basis functions selected and can be compatible with clinical use (~6h for a single subject analysis). The novel method is a robust approach for PET quantification by using compartmental modeling at the voxel level. In particular, different from other proposed approaches, this method can also be used when the linearization of the model is not appropriate. We expect that applying it to clinical data will generate reliable parametric maps.<br /> (Copyright © 2012 Elsevier Inc. All rights reserved.)
- Subjects :
- Brain diagnostic imaging
Carbon Radioisotopes pharmacokinetics
Computer Simulation
Humans
Image Interpretation, Computer-Assisted methods
Male
Radiopharmaceuticals pharmacokinetics
Reproducibility of Results
Sensitivity and Specificity
Brain metabolism
Models, Neurological
Piperazines pharmacokinetics
Positron-Emission Tomography methods
Pyridines pharmacokinetics
Pyrrolidines pharmacokinetics
Receptor, Serotonin, 5-HT1A metabolism
Receptors, Dopamine metabolism
Salicylamides pharmacokinetics
Subjects
Details
- Language :
- English
- ISSN :
- 1095-9572
- Volume :
- 67
- Database :
- MEDLINE
- Journal :
- NeuroImage
- Publication Type :
- Academic Journal
- Accession number :
- 23220428
- Full Text :
- https://doi.org/10.1016/j.neuroimage.2012.11.045