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-0.6.4.post1-cp37-cp37m-manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1318cd65e8e7d6c60fd8c9edbff80175e633f92aacafd49e53aa4d910c83bfb6 |
|
MD5 | ef92ffa14a28604871356280747045b2 |
|
BLAKE2b-256 | 6c839d8fdabc51913b3c3effaa7fd969543ecd77451c3a4b73be3cb2bdc022dd |
Hashes for qsiprep-0.6.4.post1-cp36-cp36m-manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a49e6f97bf262ddef206bbc863747e0b5a701a2663934bea88c84d1188a61fd6 |
|
MD5 | 759ac70d9239aed721dce55e86663de4 |
|
BLAKE2b-256 | 0540a9d52c48dbe3e6e6721884d173432eb3cdcb776ddd7470a9e2eb3a1be341 |