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]
Project details
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
Built Distributions
Hashes for qsiprep-0.7.2-cp37-cp37m-manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c35a7910d4f1aeff80f20d5d7e3855f299918d417214b6ede540ed87ead1c503 |
|
MD5 | ab63bf5b6db32d448e21784c2a56ed9a |
|
BLAKE2b-256 | cb45373b2cba1b8b89caeb1184aaf62c17c5603d24ba9f37a77969e4a51e3ada |
Hashes for qsiprep-0.7.2-cp36-cp36m-manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 53e73c4274f80ec10ed933d0df9d7ae6e5b2228000983c4d259df31eb68fa13d |
|
MD5 | 598bb4974b385c5b8a0d390521ec58e3 |
|
BLAKE2b-256 | 9c0addc5b048f2c697a711d0acfb2215b433df9f306bb1cf248b8128f5614710 |