Simultaneous segmentation, kinetic parameter estimation, and uncertainty visualization of dynamic PET images

Authors:
Ahmed Saad;Ben Smith;Ghassan Hamarneh;Torsten Möller
Affiliations:
Medical Image Analysis Lab and Graphics, Usability, and Visualization Lab, School of Computing Science, Simon Fraser University, Canada;Medical Image Analysis Lab and Graphics, Usability, and Visualization Lab, School of Computing Science, Simon Fraser University, Canada;Medical Image Analysis Lab, School of Computing Science, Simon Fraser University, Canada;Graphics, Usability, and Visualization Lab, School of Computing Science, Simon Fraser University, Canada
Venue:
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Year:
2007

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Abstract

We develop a segmentation technique for dynamic PET incorporating the physiological parameters for different regions via kinetic modeling. We demonstrate the usefulness of our technique on fifteen [11C] Raclopride simulated PET images. We show qualitatively and quantitatively that the physiologically based algorithm outperforms two classical segmentation techniques. Further, we derive a formula to compute and visualize the uncertainty encountered during the segmentation.