PETCT-RMA-Detection

PET-CT Respiratory Motion Misalignment (RMA) Detection

This repository contains machine learning models to detect repiratory motion misalingment artifact (RMA) in PET CT images.

The pretrained random forest model relies on PET and CT segmentations for four anchor organs of liver, spleen, lung, and heart to determine the presence of RMA. The PET and CT segmentation models can be found in Organ-Segmentation repository.

Please download the pretrained Random Forest models from this link, and follow the inference instructions in the inference-example.py file.

Installation

To install the necessary dependencies, run the following command:

pip install git+https://github.com/YazdanSalimi/PETCT-RMA-Detection.git

Once installed, save the downloaded models in a clean folder and provide the folder path to the inference function. Please cite this paper and check it for more information.

We welcome any feedback, suggestions, or contributions to improve this project!

for any furtehr question please email me at: [email protected]