Quantitative cardiac dynamic imaging of small animal PET images using cluster analysis

S. Domenichelli, D. D'Ambrosio, S. Trespidi, C. Nanni, V. Ambrosini, S. Boschi, R. Franchi, M. Marengo, A. E. Spinelli

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Quantitative PET imaging requires a dynamic scan in order to measure the arterial input function and the tissue time-activity curves. By combining these two curves with adequate mathematical models it is possible to obtain useful physiological information such as the metabolic rate, perfusion, receptors density etc. Cluster Analysis (CA) allows to group pixels having the same kinetic. In this work the performance of two clustering algorithms were assessed. The user must supply a set of images acquired at different time points and the number of clusters. The choice of the correct number of clusters was performed by using a parsimony criteria. In order to test the CA method real dynamic small animal PET data were acquired. Image derived arterial input function and myocardial FDG uptake were measured. Results showed that CA allow us to obtain accurate tissue time activity curves without the need of manual region on interest delineation.

Original languageEnglish
Title of host publicationComputers in Cardiology
Number of pages4
Publication statusPublished - 2008
EventComputers in Cardiology 2008, CAR - Bologna, Italy
Duration: Sep 14 2008Sep 17 2008


OtherComputers in Cardiology 2008, CAR

ASJC Scopus subject areas

  • Computer Science Applications
  • Cardiology and Cardiovascular Medicine


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