Metadata-Version: 2.1
Name: resector
Version: 0.2.6
Summary: Algorithm to simulate resections osurgery on brain MRI scans.
Home-page: https://github.com/fepegar/resector
Author: Fernando Perez-Garcia
Author-email: fernando.perezgarcia.17@ucl.ac.uk
License: MIT license
Description: # `resector`
        
        <p align="center">
            <img src="https://raw.githubusercontent.com/fepegar/resector/master/docs/images/60_examples_resized_50.gif"
                alt="Resections">
        </p>
        
        Implementation of a [TorchIO](https://torchio.readthedocs.io/) transform
        used to simulate a resection cavity from a T1-weighted brain MRI and a
        corresponding [geodesic information flows (GIF) brain parcellation (version 3.0)](http://niftyweb.cs.ucl.ac.uk/program.php?p=GIF).
        
        ## Credit
        
        If you use this library for your research, please cite our MICCAI 2020 paper:
        
        [F. Pérez-García, R. Rodionov, A. Alim-Marvasti, R. Sparks, J. S. Duncan and
        S. Ourselin. *Simulation of Brain Resection for Cavity Segmentation Using
        Self-Supervised and Semi-Supervised Learning*](https://link.springer.com/chapter/10.1007%2F978-3-030-59716-0_12).
        
        Bibtex:
        
        ```bibtex
        @InProceedings{10.1007/978-3-030-59716-0_12,
            author="P{\'e}rez-Garc{\'i}a, Fernando
            and Rodionov, Roman
            and Alim-Marvasti, Ali
            and Sparks, Rachel
            and Duncan, John S.
            and Ourselin, S{\'e}bastien",
            title="Simulation of Brain Resection for Cavity Segmentation Using Self-supervised and Semi-supervised Learning",
            booktitle="Medical Image Computing and Computer Assisted Intervention -- MICCAI 2020",
            year="2020",
            publisher="Springer International Publishing",
            address="Cham",
            pages="115--125",
            isbn="978-3-030-59716-0"
        }
        ```
        
        [[Preprint on arXiv](https://arxiv.org/abs/2006.15693)]
        
        ## Installation
        
        ```shell
        $ git clone https://github.com/fepegar/resector.git
        $ pip install --editable ./resector
        ```
        
        ## Usage
        
        ```shell
        $ resect t1.nii.gz gif_parcellation.nii.gz t1_resected.nii.gz t1_resection_label.nii.gz
        ```
        
        Run `resect --help` for more options.
        
Keywords: resector
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6, <3.9
Description-Content-Type: text/markdown
