UB-SPEBT / image-reconstruction

Python implementation of the Maximum Likelihood Expectation Maximization (ML-EM) approach of emission tomography image reconstruction.

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

How to run on the CCR HPC cluster

Through SSH

  • ssh to vortex.ccr.buffalo.edu
  • git clone the repository
  • cd image-reconstruction/MLEM-MPI
  • submit the job with sbatch slurm-run.sh

Through UB CCR OnDemand

  • Login to the OnDemand
  • Open a command-line shell from the OnDemand dashboard (ccrsoft/legacy should be loaded automaticlly)

ondemand-shell

  • git clone the repository
  • cd image-reconstruction/MLEM-MPI
  • submit the job with sbatch slurm-run.sh

The reconstruction configuration

The configuration is loaded from the config.yml file. You can change it for your need. (but do not push your change to the remote repository, unless necessary)

About

Python implementation of the Maximum Likelihood Expectation Maximization (ML-EM) approach of emission tomography image reconstruction.

License:MIT License


Languages

Language:Jupyter Notebook 98.1%Language:Python 1.9%Language:Shell 0.0%