A statistical atlas of prostate cancer for optimal biopsy

Dinggang Shen, Zhiqiang Lao, Jianchao Zeng, Edward H. Herskovits, Gabor Fichtinger, Christos Davatzikos

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

Abstract

This paper presents a methodology of creating a statistical atlas of spatial distribution of prostate cancer from a large patient cohort, and uses it for designing optimal needle biopsy strategies. In order to remove inter-individual morphological variability and determine the true variability in cancer position, an adaptive-focus deformable model (AFDM) is used to register and normalize prostate samples. Moreover, a probabilistic method is developed for designing optimal biopsy strate­gies that determine the locations and the number of needles by optimizing cancer detection probability. Various experiments demonstrate the performance of AFDM in registering prostate samples for construction of the statistical atlas, and also vali­date the predictive power of our atlas-based optimal biopsy strategies in detecting prostate cancer.

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
Pages416-424
Number of pages9
ISBN (Print)3540426973, 9783540454687
DOIs
StatePublished - Jan 1 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
CountryNetherlands
CityUtrecht
Period10/14/0110/17/01

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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