Optimising the frangi filter : SCALR - A scale prediction model to enhance perivascular space Quantification using machine learning

Growing interest in perivascular spaces (PVS) quantification has highlighted the need for accurate and robust methods, particularly in magnetic resonance imaging (MRI). The Frangi filter is widely used to enhance tubular structures, including PVS, however its performance is highly dependent on scale...