BASIL toolset¶
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.
References¶
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