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
Metadata
Release files for oxasl-optpcasl 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| oxasl_optpcasl-0.0.4.tar.gz | 54.4 kB | Details |
Release files / oxasl_optpcasl-0.0.4.tar.gz
| Download URL | oxasl_optpcasl-0.0.4.tar.gz |
|---|---|
| Size | 54.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
fa924d02b59065155f7ba94d3ef534f5ac9148b8684a5fc1f8fc9232577105b4
|
|
BLAKE2b-256 checksum How to use checksums |
010236726ce425c1fbaa016a9ae1f93b26213c2d4a39a6a368f53312de0832ca
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.21
|