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. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Saad, A., Smith, B., Hamarneh, G., & Möller, T. (2007). Simultaneous segmentation, kinetic parameter estimation, and uncertainty visualization of dynamic PET images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4792 LNCS, pp. 726–733). Springer Verlag. https://doi.org/10.1007/978-3-540-75759-7_88
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
