In addition, attendees should review the following resource: Pipeline for Analyzing Lesions After Stroke (PALS), a scalable, user-friendly toolbox designed to facilitate standardized analysis and ensure quality in stroke research using T1-weighted MRIs. The PALS toolbox offers four modules integrated into a single pipeline, including: (1) reorientation to radiological convention, (2) lesion correction for healthy white matter voxels, (3) lesion load calculation, and (4) visual quality control. To learn more, please refer to our paper in Frontiers. To access and download the toolbox, please visit the link: https://github.com/npnl/pals
If you are planning on participating in the ATLAS data session, please complete the following steps:
- Download ATLAS PALS lab document PDF or Word Doc
- Install Docker from https://www.docker.com/get-started.
- Download the dataset (ZIP). This dataset includes two subjects from the ATLAS database. Note where the files are saved.
- Please make sure you have 10GB space on your laptop, as we will need this for the toolbox to run!
Email Kaori Ito, MA, OTR/L with any questions at kaoriito@usc.edu.