
Open Science Initiative for Perfusion Imaging
Perfusion Magnetic Resonance Imaging (MRI) is a vital medical imaging technique that assesses blood flow in tissues and thus contributes crucial information for diagnosing conditions such as stroke, tumors, and neurological disorders. Unlike the standard MRI methods that are daily used in hospitals, raw perfusion MRI data require further processing and quantification. This requires dedicated software tools. However, the lack of standardization and the availability of standardized and tested analysis code makes perfusion MRI less accessible and hinders its widespread use. The ISMRM Open Science Initiative for Perfusion Imaging (OSIPI) aims to address this gap and create resources for best practices in perfusion MRI including software and data inventories, code repositories, challenges, and educational material.
GSoC Participation History
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Quality Check ToolBox V1.0
Problem: There is currently no standalone, open source Python library within the OSIPI ecosystem for post-processing quality control (QC) of Arterial...
A User Repository of Artifacts for Perfusion Imaging (AURA) Platform
This project aims to transform AURA (A User Repository of Artifacts) from a survey-based collection of perfusion imaging artifacts into an...
Standardized Python Pipeline for Evaluating Perfusion Imaging Challenge
This project will develop a standardized Python pipeline to evaluate submissions to OSIPI perfusion imaging challenges for ASL and DSC DCE MRI...
PyASL: GUI, preclinical functionalities and batch mode
In previous roadmaps, we collected code to create PyASL, a Python library to preprocess ASL data (both preclinical and human brain data). PyASL not...
Strengthening pyaslreport reliability through automated testing and CI
The pyaslreport package currently has no automated tests for its core processing logic and no CI pipeline that runs on code changes, meaning...
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