MuItiscale medial analysis of medical images

摘要

The Multiscale Medial Axis is a means for detecting and representing object shape at multiple scales simultaneously. One of its key characteristics is that the scale used to measure object properties (and hence to represent the object) is proportional to the local width of the object. This allows it to separate fine-scale detail from larger-scale gross shape properties of the object in a manner dictated by the object itself. It works directly from image intensities and does not require a prior segmentation of the image or explicit determination of object boundaries. Fuzzy (non-binary) boundary measures are used to compute fuzzy medial measures, and axis points are identified as ridges in this fuzzy medial space. This paper presents some of the basic concepts of the Multiscale Medial Axis, describes ils computation, and demonstrates some preliminary results of its application to medical images from variety of imaging modalities.