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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Zusammenfassung: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 limitation, we developed a fully automated technique for deriving IDIF with a supervised clustering algorithm (SVCA). To validate this technique, 25 healthy controls and 26 patients with moderate to severe major depressive disorder (MDD) underwent T1-weighted brain magnetic resonance imaging (MRI) and a 90-minute [(11)C](R)-rolipram PET scan. For each subject, metabolite-corrected input function was measured from the radial artery. SVCA templates were obtained from 10 additional healthy subjects who underwent the same MRI and PET procedures. Cluster-IDIF was obtained as follows: 1) template mask images were created for carotid and surrounding tissue; 2) parametric image of weights for blood were created using SVCA; 3) mask images to the individual PET image were inversely normalized; 4) carotid and surrounding tissue time activity curves (TACs) were obtained from weighted and unweighted averages of each voxel activity in each mask, respectively; 5) partial volume effects and radiometabolites were corrected using individual arterial data at four points. Logan-distribution volume (V T/f P) values obtained by cluster-IDIF were similar to reference results obtained using arterial data, as well as those obtained using manual-IDIF; 39 of 51 subjects had a V T/f P error of <5%, and only one had error >10%. With automatic voxel selection, cluster-IDIF curves were less noisy than manual-IDIF and free of operator-related variability. Cluster-IDIF showed widespread decrease of about 20% [(11)C](R)-rolipram binding in the MDD group. Taken together, the results suggest that cluster-IDIF is a good alternative to full arterial input function for estimating Logan-V T/f P in [(11)C](R)-rolipram PET clinical scans. This technique enables fully automated extraction of IDIF and can be applied to other radiotracers with similar kinetics.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
Competing Interests: The authors have declared that no competing interests exist.
Conceived and designed the experiments: CHL PZF RBI. Performed the experiments: CHL PZF SSZ JSL RX MF. Analyzed the data: CHL PZF MF. Contributed reagents/materials/analysis tools: CHL PZF SSZ JSL RX VWP MF RBI. Wrote the paper: CHL PZF SSZ JSL RX VWP CAZ MF RBI.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0089101