Revolutionizing Arterial Spin Labelling Analysis in Neuroimaging with BASIL

Are you a researcher or clinician working with Arterial Spin Labelling (ASL) MRI? If so, we have exciting news for you! The BASIL (Bayesian Inference for Arterial Spin Labelling MRI) toolbox has recently launched and is making a difference in the neuroimaging community. With over 500 downloads already, BASIL is becoming a well known tool for advanced ASL data  analysis.

What is BASIL

BASIL is a research toolbox designed for the analysis of ASL data, and is integrated within the widely-used FMRIB Software Library (FSL).

At its core, BASIL uses a sophisticated Bayesian approach for robust and accurate quantification of perfusion and other haemodynamic measures. BASIL can handle a variety of ASL input data, particularly excelling with advanced multi-delay acquisitions. And as a part of the FSL suite, BASIL can integrate with other neuroimaging analysis tools, facilitating multi-modal studies.

Getting Started

Michael A. Chappell, Thomas F. Kirk, Thomas W. Okell, and Mark W. Woolrich has recently published a paper in Imaging Neuroscience (MIT Press) and it can be found here.

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