Image-derived input function derived from a supervised clustering algorithm: methodology and validation in a clinical protocol using [11C](R)-rolipram.

Image-derived input function derived from a supervised clustering algorithm: methodology and validation in a clinical protocol using [11C](R)-rolipram.

Image-derived input function (IDIF) obtained by manually drawing carotid arteries (manual-IDIF) can be reliably used in [(11)C](R)-rolipram positron emission tomography (PET) scans. However, manual-IDIF is time consuming and subject to inter- and intra-operator variability. To overcome this limitati...

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Bibliographic Details
Main Authors: Chul Hyoung Lyoo, Paolo Zanotti-Fregonara, Sami S Zoghbi, Jeih-San Liow, Rong Xu, Victor W Pike, Carlos A Zarate, Masahiro Fujita, Robert B Innis
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24586526/?tool=EBI

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24586526/?tool=EBI

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