From 56299f8fcc46b1777242b20713d000bb0a64d038 Mon Sep 17 00:00:00 2001 From: Petra van Houdt Date: Fri, 28 Aug 2026 11:47:16 +0200 Subject: [PATCH] updated TF2.6 information --- docs/tf/tf2-6.md | 15 ++++++++++----- 1 file changed, 10 insertions(+), 5 deletions(-) diff --git a/docs/tf/tf2-6.md b/docs/tf/tf2-6.md index 1f9ae94..e496b4c 100644 --- a/docs/tf/tf2-6.md +++ b/docs/tf/tf2-6.md @@ -1,6 +1,7 @@ # TF2.6 — OSIPI python package -To develop OSIPY, a community-led open source python library for quantitative perfusion MRI that replaces fragmented, in-house analysis tools with a standardized, reproducible, and accessible solution. +To develop OSIPY, a community-led open source python library for quantitative perfusion MRI that replaces fragmented, in-house analysis tools with a standardized, reproducible, and accessible solution. The aim is to include all perfusion modalities (ASL, DCS, DCE, and IVIM). +We will build on previous OSIPI activities, such as the code repositories from TF2.2, TF2.3 and TF2.4. The standard terminology defined in the lexicons of TF4.1 and TF4.2 will be used in the architecture and function names etc of OSIPY. ## Leads @@ -9,12 +10,16 @@ To develop OSIPY, a community-led open source python library for quantitative pe ## Ongoing projects -Projects +A prototype version of OSIPY is currently available in our repository. Please know that it is work in progress, so you might encounter missing features and bugs. +We encourage everyone to try it out and give us feedback! On the documentation pages you can find tutorials for each modality and information on how to contribute. -## Publications +In June 2026 we started a collaboration with [the Netherlands eScience Center](https://www.esciencecenter.nl/) for the next three years (Grant ID NLESC.OEC.2025.112). +Together we hope to turn OSIPY into a community-led software package, enabling reproducible, standardized, and straightforward analysis of perfusion MRI data. +The tool will greatly reduce the barriers to perfusion MRI via easy data integration, click-and-play analysis, and automated batch processing options. -- Publications +Soon we will send out a survey to gather community requirements. Based on this we will define our next steps for the implementation. ## Resources -Resources +- [OSIPY Github Repository](https://github.com/OSIPI/osipy) +- [OSIPY documentation](https://osipi.github.io/osipy/)