Preprocessing of 18F-DMFP-PET Data Based on Hidden Markov Random Fields and the Gaussian Distribution

18F-DMFP-PET is an emerging neuroimaging modality used to diagnose Parkinson's disease (PD) that allows us to examine postsynaptic dopamine D2/3 receptors. Like other neuroimaging modalities used for PD diagnosis, most of the total intensity of 18F-DMFP-PET images is concentrated in the striatum. Ho...

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Hlavní autoři:	Fermín Segovia, Juan M. Górriz, Javier Ramírez, Francisco J. Martínez-Murcia, Diego Salas-Gonzalez
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2017-10-01
Edice:	Frontiers in Aging Neuroscience
Témata:	PET image segmentation 18F-DMFP-PET data intensity normalization Hidden Markov Models Gaussian distribution Parkinson's disease
On-line přístup:	http://journal.frontiersin.org/article/10.3389/fnagi.2017.00326/full
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