OXASL_OPTPCASL - Tool for optimizing PCASL acquisitions

OXASL_OPTPCASL is a package for generating optimal PLDs for PCASL experiments in order to maximise sensitivity to CBF, ATT or both.

Installation

If using FSL, it is simplest to install using fslpython (however FSL is not required):

fslpython -m pip install oxasl_optpcasl --user

Otherwise can be installed into any Python 3 environment. Use of Conda or virtualenv is recommended:

python -m pip install oxasl_optpcasl

You may need to add --user if using system python.

References

• Woods JG, Chappell MA, Okell TW. A general framework for optimizing arterial spin labeling MRI experiments. Magn Reson Med. 2019;81(4):2474-2488. doi: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 doi:10.1016/j.neuroimage.2020.117246

Contents:

• Theory
• Command line tool user guide
• GUI user guide