Python library for optimizing multi-PLD pCASL acquisitions
Project description
OXASL_OPTPCASL
Python tool for optimizing multi-PLD pCASL acquisitions
For documentation see:
https://oxasl-optpcasl.readthedocs.io/
References
Woods JG, Chappell MA, Okell TW. A general framework for optimizing arterial spin labelling MRI experiments. Magn Reson Med. 2019;81:2474-2488. https://doi.org/10.1002/mrm.27580
Woods JG, Chappell MA, Okell TW. Designing and comparing optimized pseudo-continuous Arterial Spin Labeling protocols for measurement of cerebral blood flow NeuroImage 2020 223:1053-8119 https://doi.org/10.1016/j.neuroimage.2020.117246
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
File details
Details for the file oxasl_optpcasl-0.0.4.tar.gz.
File metadata
- Download URL: oxasl_optpcasl-0.0.4.tar.gz
- Upload date:
- Size: 54.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.21
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fa924d02b59065155f7ba94d3ef534f5ac9148b8684a5fc1f8fc9232577105b4
|
|
| MD5 |
ab42728f1803ffbbebe872e401e0b3d4
|
|
| BLAKE2b-256 |
010236726ce425c1fbaa016a9ae1f93b26213c2d4a39a6a368f53312de0832ca
|