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-0.6.3.post1-cp37-cp37m-manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 96c0a33b7984681e9009f53a92172d528fb100d6f0546be6b0f88f354ba19863 |
|
MD5 | 222b06992f7498435b1c445c80c831d7 |
|
BLAKE2b-256 | 4ab65fe58797d992835fd027190dbe926b6648e270d3db64e8def64b460c18bf |
Hashes for qsiprep-0.6.3.post1-cp36-cp36m-manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3ef2d81e250a3e9f90148708ecf0590be5a04be40f72656fd222b3cb207893c5 |
|
MD5 | 29b028fad76f945638a414431eed84e8 |
|
BLAKE2b-256 | 91bf7d5c51b9406acf174f24b9d95b411e7643ed1dd60a44127bd52a46f34596 |