Scale-invariant segmentation of dynamic contrast-enhanced perfusion MR images with inherent scale selection

摘要

Selection of the best set of scales is problematic when developing signal -driven approaches for pixel-based image segmentation. Often, different possibly conflicting criteria need to be fulfilled in order to obtain the best trade -off between uncertainty (variance) and location accuracy. The optimal set of scales depends on several factors: the noise level present in the image material, the prior distribution of the different types of segments, the class-conditional distributions associated with each type of segment as well as the actual size of the (connected) segments.