Metadata-Version: 2.1
Name: fmri-anonymizer
Version: 0.2.6
Summary: Anonymize your DICOM and NIFTI files with this tool easily.
Home-page: https://caoslab.psy.cmu.edu:32443/hugoanda/fmri_anonymizer
Author: Hugo Angulo
Author-email: hugoanda@andrew.cmu.edu
License: MIT
Description: # fMRI Anonymizer
        
        This project contains a series of scripts that perform 2 essential steps:
        
        1. De-Identification
        2. De-Facing
        
        The main purpose of this porject is to have an "all-purpose" application that can automatize the whole anonymization process on MRI, fMRI data. This includes DICOM, and NIFTI formats. 
        
        This application follows a "best-effort" approach in order to comply with [HIPAA regulations](https://www.hhs.gov/hipaa/for-professionals/privacy/laws-regulations/index.html).
        
        ## How to install it?
        
        In order to use this packeage, you will need to use the following command (recommended to use it in a separate environment - like conda or venv):
        
        `pip install fmri_anonymizer`
        
        ## How to use it?
        
        This is pretty simple, you have 2 ways to use it:
        
        `python -m fmri_anonymizer -i <INPUT_FOLDER> --dicom --anonymize --deface YES -o <OUTPUT_FOLDER>`
        
        Or:
        
        `fmri_anonymizer -i <INPUT_FOLDER> --dicom --anonymize --deface YES -o <OUTPUT_FOLDER>`
        
        ## How to get some help?
        
        Simply type:
        
        `python -m fmri_anonymizer -h`
        
        
        
        H4ppy H4ck1n6!
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.7
Description-Content-Type: text/markdown
