A C++ & Matlab-based PET simulation and reconstruction software, enabling realistic brain simulations, e.g. dynamic PiB PET imaging, based on the system matrix of the advanced brain-dedicated High Resolution Research Tomograph (HRRT) scanner.
Key Features:
- Analytic simulation (forward projection) of a static or a dynamic series of PET HRRT sinograms
- Begins with realistic computational human brain phantom
- Enables realistic, noisy simulations
- Statistical PET image reconstruction using 3D ordered-subset expectation maximization (OS-EM) algorithm
- Incorporate attenuation and normalization modeling
- Can simulate dynamic PET studies, with an initial table of kinetic K values; e.g. our default example performs dynamic PiB PET studies
Reference Links
Github Page (Source Code, Documentation)
Qurit Lab Page (Presentation, Technical Description)
Reference Paper: A. Rahmim, Y. Zhou, J. Tang, L. Lu, V. Sossi, and D. F. Wong, Direct 4D parametric imaging for linearized models of reversibly binding PET tracers using generalized AB-EM reconstruction Phys. Med. Biol., vol. 57, pp. 733-755, 2012.
For any questions or feedback, please contact: arman.rahmim@ubc.ca
NMMItools 