Multiresolution signal processing on meshes for automatic pathological shape characterization

Sylvain Jaume, Matthieu Ferrant, Andreas Schreyer, Lennox Hoyte, Benoît Macq, Julia Fielding, Ron Kikinis, Simon K. Warfield

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

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 Zscore values on the configuration of the patient’s bladder to show regions of unusual thickness.

Original languageEnglish (US)
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2001 - 4th International Conference, Proceedings
EditorsWiro J. Niessen, Max A. Viergever
PublisherSpringer Verlag
Pages1398-1400
Number of pages3
ISBN (Print)3540426973, 9783540454687
DOIs
StatePublished - 2001
Event4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001 - Utrecht, Netherlands
Duration: Oct 14 2001Oct 17 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2208
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001
Country/TerritoryNetherlands
CityUtrecht
Period10/14/0110/17/01

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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