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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Veröffentlicht in:	PloS one Jg. 9; H. 2; S. e89101
Hauptverfasser:	Lyoo, Chul Hyoung, Zanotti-Fregonara, Paolo, Zoghbi, Sami S., Liow, Jeih-San, Xu, Rong, Pike, Victor W., Zarate, Carlos A., Fujita, Masahiro, Innis, Robert B.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 20.02.2014 Public Library of Science (PLoS)
Schlagworte:	Adult Algorithms Arteries Automation Biology Brain Brain research Carbon Radioisotopes Carotid arteries Carotid Arteries - diagnostic imaging Carotid Arteries - physiopathology Carotid artery Case-Control Studies Cluster Analysis Clustering Clusters Computer Science Depressive Disorder, Major - blood Depressive Disorder, Major - diagnostic imaging Depressive Disorder, Major - metabolism Depressive Disorder, Major - physiopathology Female Humans Image processing Image Processing, Computer-Assisted - methods Kinetics Magnetic resonance Magnetic resonance imaging Male Mathematics Medical imaging Medicine Mental depression Mental health Metabolites Methods Neuroimaging Plasma Positron emission Positron emission tomography Radioactive tracers Rolipram Rolipram - metabolism Studies Tomography Variability Veins & arteries United States > US Maryland
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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