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A comprehensive system for intraoperative 3D brain deformation recovery

  • Christine DeLorenzo
  • , Xenophon Papademetris
  • , Kenneth P. Vives
  • , Dennis D. Spencer
  • , James S. Duncan
  • Yale University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

During neurosurgery, brain deformation renders preoperative images unreliable for localizing pathologic structures. In order to visualize the current brain anatomy, it is necessary to nonrigidly warp these preoperative images to reflect the intraoperative brain. This can be accomplished using a biomechanical model driven by sparse intraoperative information. In this paper, a linear elastic model of the brain is developed which can infer volumetric brain deformation given the cortical surface displacement. This model was tested on both a realistic brain phantom and in vivo, proving its ability to account for large brain deformations. Also, an efficient semiautomatic strategy for preoperative cortical feature detection is outlined, since accurate segmentation of cortical features can aid intraoperative cortical surface tracking.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings
PublisherSpringer Verlag
Pages553-561
Number of pages9
EditionPART 2
ISBN (Print)9783540757580
DOIs
StatePublished - 2007
Event10th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2007 - Brisbane, Australia
Duration: Oct 29 2007Nov 2 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume4792 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2007
Country/TerritoryAustralia
CityBrisbane
Period10/29/0711/2/07

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