Multiresolution Signal Processing on Meshes for Automatic Pathological Shape Characterization

Authors:
Sylvain Jaume;Matthieu Ferrant;Andreas Schreyer;Lennox Hoyte;Benoit M. Macq;Julia Fielding;Ron Kikinis;Simon K. Warfield
Affiliations:
-;-;-;-;-;-;-;-
Venue:
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Year:
2001

Citing 4
Cited 0

Marching cubes: A high resolution 3D surface construction algorithm

SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Progressive meshes

SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics

The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics
Multiresolution signal processing for meshes

Proceedings of the 26th annual conference on Computer graphics and interactive techniques

Quantified Score

Hi-index	0.01

Visualization

Abstract

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.