ISMRM Open Science Initiative for Perfusion Imaging (OSIPI): Composite Python Library for ASL Image Processing

Motivation: The ISMRM-Open Science Initiative for Perfusion Imaging (OSIPI) aims to facilitate collaboration, reproducibility, and transparency in perfusion imaging research by providing a shared platform for tools and methodologies. Goal(s): To develop an open-source library of functions and scripts for Arterial Spin Labeled (ASL) imaging preprocessing and analysis. Approach: We harmonized the code collected during our first roadmap into a Python library, PyASL, supporting both human and preclinical brain data. Results: PyASL currently includes two human data pipelines, two preclinical data pipelines, a deep learning-based denoising function, and a command line utility integration. Each function is fully documented for user reference. Impact: PyASL provides unified, open-source functions that enable researchers to apply standardized methods across studies, enhancing reproducibility and transparency. It also reduces redundant development, allowing scientists to focus on addressing new challenges in ASL perfusion imaging.