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The Cancer Radiomic and Perfusion Imaging (CARPI) automated framework is a Python-based software for radiomic and perfusion feature extraction developed by the ABASTI laboratory at MD Anderson Cancer Center.

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CARPI Automated Framework

The Cancer Radiomic and Perfusion Imaging (CARPI) automated framework is a Python-based software application that is vendor- and sequence-neutral. CARPI uses DICOM-RT files generated using an application of the user's choice and automatically performs:
  ✔️ Radiomic Feature Extraction
  ✔️ Perfusion Analysis
  ✔️ Relational Database Generation
  ✔️ Graphic Report Generation

Note

Link to Technical Paper: https://ascopubs.org/doi/10.1200/CCI.23.00118

carpi_reports

Steps to Successfully Run CARPI:

STEP 1. Download the CARPI directory from this repository.
STEP 2. Install the required Python libraries:
   a) pip install pydicom
   b) pip install DicomRTTool
   c) pip install pyradiomics
   d) pip install psycopg2
STEP 3. Download and configure PostgreSQL: https://www.postgresql.org/download/
STEP 4. Open the database.ini file and edit it according to your PostgreSQL configuration:

database_file

STEP 5. Open the CARPI_Main.py script and enter the user-defined variables:

carpi_main

STEP 6. Run CARPI_Main.py

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The Cancer Radiomic and Perfusion Imaging (CARPI) automated framework is a Python-based software for radiomic and perfusion feature extraction developed by the ABASTI laboratory at MD Anderson Cancer Center.

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