# ASLPrep

ASLPrep is a robust preprocessing pipeline for arterial spin labeling (ASL) MRI data that automates denoising, registration, and quantitative analysis for neuroimaging researchers. It is open source and self-hosted, installable on Docker Hub.

Canonical page: https://ourlocalhost.com/app/6039/aslprep

## Description

ASLPrep is a robust preprocessing pipeline for arterial spin labeling (ASL) MRI data that automates denoising, registration, and quantitative analysis for neuroimaging researchers.

## Platform availability

Available on 0 of 6 install platforms.

## Health score

54/100 (Fair), based on 3 of 4 factors.
- Maintained: 88 (last commit 39 days ago)
- Popular: 36 (64 GitHub stars)
- Easy to install: 10 (0 install platforms, Docker image)

## Links

- GitHub: https://github.com/PennLINC/aslprep
- Docker Hub: https://hub.docker.com/r/pennlinc/aslprep_build
- Documentation: https://aslprep.readthedocs.io

## Common questions

### Should I install ASLPrep with pip or use a container?

Container technologies are recommended. A bare-metal installation means manually preparing a Python 3.10+ environment because ASLPrep also depends on other neuroimaging libraries.

### Can I run ASLPrep on BIDS data with minimal configuration?

With BIDS input, little or no parameters are required, and ASLPrep adapts its preprocessing steps to the input dataset.

### What outputs are generated after a successful run?

ASLPrep generates preprocessed ASL data, computed CBF maps, confound quality metrics, preprocessed structural images, and one HTML report per subject.

### Can the outputs be used for group-level analyses?

The outputs can be submitted to group-level analyses such as task-based or resting-state CBF, graph theory measures, and surface-based or volume-based statistics.

---
Source: Our Local Host (https://ourlocalhost.com/app/6039/aslprep), the self-hosted and open-source app directory.