Metadata-Version: 2.1
Name: voxface
Version: 2021.7.20
Summary: Fast MRI face voxelator
Home-page: https://github.com/jmtyszka/voxface
Author: Julian Michael Tyszka
Author-email: jmt@caltech.edu
License: UNKNOWN
Project-URL: Bug Reports, https://github.com/jmtyszka/voxface/issues
Project-URL: Funding, http://conte.caltech.edu/
Project-URL: Source, https://github.com/jmtyszka/voxface/
Keywords: neuroimaging MRI Nifti deface deidentify
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Image Processing
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.8, <4
Description-Content-Type: text/markdown
License-File: LICENSE

# Voxface

Fast voxelation of the face in 3D structural MRI data combining spline downsampling with nearest-neighbor upsampling to
deidentify the face while retaining some signal intensity to guide whole-head registration.

## Installation

### Latest Version
2017.7.20

### GitHub Installation

1. Clone this branch to your local system
   ```
   % git clone https://github.com/jmtyszka/voxface.git
   ```
2. Install to your local Python 3 environment
   ```
   % cd voxface
   % [sudo] python3 setup.py install
   ```
   
### PyPI Installation

1. Install the latest Python 3 version of *voxface* from PyPI
    ```
    % [sudo] pip3 install voxface
    ```

### Typical Performance
Face voxelation of a typical 1 mm isotropic T1w image takes 5 - 6 seconds on a 3.2 GHz 6-Core Intel Core i7 Mac Mini.


