Open Science Initiative for Perfusion Imaging

Problem: There is currently no standalone, open source Python library within the OSIPI ecosystem for post-processing quality control (QC) of Arterial...

This project aims to transform AURA (A User Repository of Artifacts) from a survey-based collection of perfusion imaging artifacts into an...

This project will develop a standardized Python pipeline to evaluate submissions to OSIPI perfusion imaging challenges for ASL and DSC DCE MRI...

In previous roadmaps, we collected code to create PyASL, a Python library to preprocess ASL data (both preclinical and human brain data). PyASL not...

The pyaslreport package currently has no automated tests for its core processing logic and no CI pipeline that runs on code changes, meaning...

This project aims to develop a modular, open-source Python package and a web app built on it to automatically extract acquisition parameters from ASL...

This project addresses the inverse problem of estimating physiological parameters that characterize the permeability of the blood-brain barrier (BBB)...

The OSIPI initiative has developed various open-source tools for quantitative MRI, particularly in perfusion imaging. However, the documentation for...

Arterial Spin Labeling (ASL) is a non-invasive MRI technique that measures cerebral blood flow and supports studies on Alzheimer’s disease, stroke,...

This project aims to build a modular, containerized pipeline for medical image processing (e.g., IVIM analysis) with DICOM and NIfTI support. It will...