/LMPDnet

Deep unrolled primal dual network for TOF-PET list-mode image reconstruction

Primary LanguagePython

LMPDnet

Deep unrolled primal dual network for TOF-PET list-mode image reconstruction (Under Review)

Set up

Create a conda Environment

conda env create --name LMRecon python==3.8
conda activate LMRecon
pip install requirements.txt

Set system environment variables

  1. Download the file parallelproj.c_dll and create a new variable named PARALLELPROJ-C-LIB in the system variable, pointing to the path where parallelproj_c.dll is located
  2. Download the file parallelproj_cuda.dll and create a new variable named PARALLELPROJ-CUDA-LIB in the system variable, pointing to the path where parallelproj_cuda.dll is located
  3. Create a new variable named PYTHONPATH in the system variable to point to the current working directory.

Acknowledgement

Our simulation and projection codes are based on parallelproj. The simulated phantom is created based on the FBSEM, Many Thanks.