DocumentCode
3327906
Title
Leader-follower clustering algorithm for automatic segmentation of cardiac PET studies
Author
Mateos-Pérez, J.M. ; Vaquero, J.J. ; García-Villalba, C. ; Cussó, L. ; Desco, M.
Author_Institution
CIBERSAM, Madrid, Spain
fYear
2011
fDate
23-29 Oct. 2011
Firstpage
3133
Lastpage
3136
Abstract
Quantitative analysis of dynamic cardiac PET studies provides useful diagnostic information regarding different heart diseases. To correctly perform the kinetic analysis, tracer time-activity curves (TAC) must be precisely extracted from the chosen tissue on the imaging data. In this work we present an alternative clustering algorithm for segmentation of dynamic studies using a leader-follower clustering approach, in which the number of clusters is unknown.
Keywords
biological tissues; cardiology; diseases; image segmentation; medical image processing; positron emission tomography; automatic segmentation; cardiac PET; heart diseases; leader-follower clustering algorithm; quantitative analysis; tissue; tracer time-activity curves; Biomedical imaging; Europe; Image segmentation; Lead; Myocardium; Reconstruction algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2011 IEEE
Conference_Location
Valencia
ISSN
1082-3654
Print_ISBN
978-1-4673-0118-3
Type
conf
DOI
10.1109/NSSMIC.2011.6152570
Filename
6152570
Link To Document