Document Detail


A hybrid clustering method for ROI delineation in small-animal dynamic PET images: application to the automatic estimation of FDG input functions.
MedLine Citation:
PMID:  20952342     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Tracer kinetic modeling with dynamic positron emission tomography (PET) requires a plasma time-activity curve (PTAC) as an input function. Several image-derived input function (IDIF) methods that rely on drawing the region of interest (ROI) in large vascular structures have been proposed to overcome the problems caused by the invasive approach for obtaining the PTAC, especially for small-animal studies. However, the manual placement of ROIs for estimating IDIF is subjective and labor-intensive, making it an undesirable and unreliable process. In this paper, we propose a novel hybrid clustering method (HCM) that objectively delineates ROIs in dynamic PET images for the estimation of IDIFs, and demonstrate its application to the mouse PET studies acquired with [ (18)F]Fluoro-2-deoxy-2-D-glucose (FDG). We begin our HCM using k-means clustering for background removal. We then model the time-activity curves using polynomial regression mixture models in curve clustering for heart structure detection. The hierarchical clustering is finally applied for ROI refinements. The HCM achieved accurate ROI delineation in both computer simulations and experimental mouse studies. In the mouse studies, the predicted IDIF had a high correlation with the gold standard, the PTAC derived from the invasive blood samples. The results indicate that the proposed HCM has a great potential in ROI delineation for automatic estimation of IDIF in dynamic FDG-PET studies.
Authors:
Xiujuan Zheng; Guangjian Tian; Sung-Cheng Huang; Dagan Feng
Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't     Date:  2010-10-14
Journal Detail:
Title:  IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society     Volume:  15     ISSN:  1558-0032     ISO Abbreviation:  IEEE Trans Inf Technol Biomed     Publication Date:  2011 Mar 
Date Detail:
Created Date:  2011-03-08     Completed Date:  2011-07-13     Revised Date:  2014-09-15    
Medline Journal Info:
Nlm Unique ID:  9712259     Medline TA:  IEEE Trans Inf Technol Biomed     Country:  United States    
Other Details:
Languages:  eng     Pagination:  195-205     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Animals
Cluster Analysis
Computer Simulation
Fluorodeoxyglucose F18 / chemistry*,  diagnostic use*
Image Processing, Computer-Assisted / methods*
Linear Models
Mice
Mice, Inbred C57BL
Phantoms, Imaging
Positron-Emission Tomography / methods*
Thorax / radionuclide imaging
Grant Support
ID/Acronym/Agency:
R01 EB001943/EB/NIBIB NIH HHS; R01 EB001943-04/EB/NIBIB NIH HHS; R01 EB001943-05A1/EB/NIBIB NIH HHS; R01 EB001943-06/EB/NIBIB NIH HHS; R01-EB001943/EB/NIBIB NIH HHS
Chemical
Reg. No./Substance:
0Z5B2CJX4D/Fluorodeoxyglucose F18
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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