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-0.7.1-cp37-cp37m-manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 43e1745a428cbbb073f00c2d255b61a1947a07b8ba961691b1ab620546efec26 |
|
MD5 | 10dd0dcad131e840af080063f084365b |
|
BLAKE2b-256 | 0295fa7d4110e1899c34f6ab9ee5dbd7f1cecf44c9cca9650dbc991555c173f4 |
Hashes for qsiprep-0.7.1-cp36-cp36m-manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d1062dd62881584f8bd9aec5a66cf26e6ae31f6e472d4272d08937b295dc6e6d |
|
MD5 | 5781986ba1b7ca524a13fdc3eb2d68e4 |
|
BLAKE2b-256 | c331deeda031a57c6c82f14b31caf0965d9709e6b25fe20178cd23072d6b9c9b |