BASIL is a collection of tools that aid in the creation of quantitative CBF images from ASL data. It is available within FSL (v6.0.1 or later is strongly recommended).
BASIL includes complete high-level pipelines for processing ASL data and also individual tools for more bespoke analysis.
- ASL Analysis Guide
- Overview of the BASIL toolset
- GUI User Guide
- Command line User Guide
- Other components of the BASIL toolset
If you employ BASIL in your research please reference the article below, plus any others that specifically relate to the analysis you have performed:
- Chappell MA, Groves AR, Whitcher B, Woolrich MW. Variational Bayesian inference for a non-linear forward model. IEEE Transactions on Signal Processing 57(1):223-236, 2009.
If you employ spatial regularisation (priors) you should ideally reference this article too:
- A.R. Groves, M.A. Chappell, M.W. Woolrich, Combined Spatial and Non-Spatial Prior for Inference on MRI Time-Series , NeuroImage 45(3) 795-809, 2009.
If you fit the macrovascular (arterial) contribution you should reference this article too.
- Chappell MA, MacIntosh BJ, Donahue MJ, Gunther M, Jezzard P, Woolrich MW. Separation of Intravascular Signal in Multi-Inversion Time Arterial Spin Labelling MRI. Magn Reson Med 63(5):1357-1365, 2010.
If you employ the partial volume correction method then you should reference this article too.
- Chappell MA, MacIntosh BJ, Donahue MJ,Jezzard P, Woolrich MW. Partial volume correction of multiple inversion time arterial spin labeling MRI data, Magn Reson Med, 65(4):1173-1183, 2011.
If you perform model-based analysis of QUASAR ASL data then you should reference this article too.
- Chappell, M. A., Woolrich, M. W., Petersen, E. T., Golay, X., & Payne, S. J. (2012). Comparing model-based and model-free analysis methods for QUASAR arterial spin labeling perfusion quantification. doi:10.1002/mrm.243