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.
[Documentation qsiprep.org]
1 maintainer
Metadata
1 maintainer
Release files for QSIPrep 26.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| qsiprep-26.1.1.tar.gz | 23.2 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| qsiprep-26.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 33.3 MB
Release files / qsiprep-26.1.1.tar.gz
| Download URL | qsiprep-26.1.1.tar.gz |
|---|---|
| Size | 23.2 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c6d50241d07e3d2f0344f74cb8b757377284710b63bfb61ca73d9c1d31154215
|
|
BLAKE2b-256 checksum How to use checksums |
67e9400ceb9d3f5e58dc5bffa5c4f65b7177cdf4f1ff949617a4f8e86132930d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.17
|
Release files / qsiprep-26.1.1-py3-none-any.whl
| Download URL | qsiprep-26.1.1-py3-none-any.whl |
|---|---|
| Size | 10.0 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6c9aa4e04c81a14d719c679afe63f9064595813508d761f167d553ac512ee21b
|
|
BLAKE2b-256 checksum How to use checksums |
c36fd9360ddbc0c804a1f7eb8ddba7b77e60f330dc2368230959346d40e49d3b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.17
|
