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Repository for presurgical report gear
Python HTML Dockerfile Shell
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events add events files Sep 16, 2019
imgs Added Dockerfile, images, masks, report_v2.html, requirements.txt, st… Aug 13, 2019
masks updated, change Broca's area mask name, added navbar template Aug 14, 2019
templates fixed formatting issue Aug 16, 2019
.dockerignore ignore randomise Sep 10, 2019
.gitignore ignore randomise Sep 10, 2019
Dockerfile upgrade and install unzip Sep 13, 2019 change way FSL is installed Aug 30, 2019 re-upload :/ Aug 28, 2019
manifest.json updated image version in manifest Sep 17, 2019 Rename to Aug 28, 2019
requirements.txt re-upload :/ Aug 28, 2019 output just report and delete results dir from container Sep 17, 2019


started August 13, 2019

presurgical-report is a nipype-based program for automatically generating a report of a patients' presurgical fMRI. The report contains resulting activation maps and ROI statistics. It was originally designed for presurgical epilepsy patients who receive an fMRI to lateralize language function.

The algorithm is Dockerized with the intent of turning it into a gear for the Flywheel neuroinformatics platform.

The program takes a BIDs dataset and fMRIPREP results as inputs. It does a general linear model (GLM) analysis of the preprocessed BOLD time series images to create activation maps using FSL commands wrapped in nipype. From these results, it generates an html report using jinja-based templating.

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