qsiprep builds workflows for preprocessing and reconstructing q-space images
Project description
qsiprep borrows heavily from FMRIPREP to build workflows for preprocessing q-space images such as Diffusion Spectrum Images (DSI), multi-shell HARDI and compressed sensing DSI (CS-DSI). It utilizes Dipy and ANTs to implement a novel high-b-value head motion correction approach using q-space methods such as 3dSHORE to iteratively generate head motion target images for each gradient direction and strength.
Since qsiprep uses the FMRIPREP workflow-building strategy, it can also generate methods boilerplate and quality-check figures.
Users can also reconstruct orientation distribution functions (ODFs), fiber orientation distributions (FODs) and perform tractography, estimate anisotropy scalars and connectivity estimation using a combination of Dipy, MRTrix and DSI Studio using a JSON-based pipeline specification.
[Documentation qsiprep.org]
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file qsiprep-0.14.0.tar.gz.
File metadata
- Download URL: qsiprep-0.14.0.tar.gz
- Upload date:
- Size: 369.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.6.0 pkginfo/1.5.0.1 requests/2.22.0 requests-toolbelt/0.8.0 tqdm/4.61.1 CPython/3.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | db07690899d53ef1c7e51e250398fda3d1a7114d48e143b05d3dbd4914ad7301 |
|
| MD5 | 28d6299df9aa478ccbdd498bd59ba876 |
|
| BLAKE2b-256 | 5b8f59c2637846cca5fc713671b119a5c7a37eeff1d0ab4bd5473556dd4da699 |
