Multiresolution Signal Processing on Meshes for Automatic Pathological Shape Characterization

We present a method based on multiresolution signal processing on meshes to create a thickness atlas. We applied this method to construct an atlas of bladder wall thickness. Bladder cancer is associated with increased bladder wall thickness. A thickness atlas helps to detect abnormal thickening in the bladder wall. Extracting inner and outer surface meshes from segmented images, we compute the thickness on the inner surface and map it to a sphere. We average the thickness at each position on the sphere to create a thickness atlas. We then compute Z-score values on the configuration of the patient's bladder to show regions of unusual thickness.