@inproceedings{a286d175e3f443abae1ae8c55f13c48b,
title = "Multiresolution signal processing on meshes for automatic pathological shape characterization",
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{\textquoteright}s bladder to show regions of unusual thickness.",
author = "Sylvain Jaume and Matthieu Ferrant and Andreas Schreyer and Lennox Hoyte and Beno{\^i}t Macq and Julia Fielding and Ron Kikinis and Warfield, {Simon K.}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2001.; 4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001 ; Conference date: 14-10-2001 Through 17-10-2001",
year = "2001",
doi = "10.1007/3-540-45468-3_244",
language = "English (US)",
isbn = "3540426973",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "1398--1400",
editor = "Niessen, {Wiro J.} and Viergever, {Max A.}",
booktitle = "Medical Image Computing and Computer-Assisted Intervention - MICCAI 2001 - 4th International Conference, Proceedings",
}