Automatic trajectory planning for deep brain stimulation: A feasibility study

Ellen J.L. Brunenberg, Anna Vilanova, Veerle Visser-Vandewalle, Yasin Temel, Linda Ackermans, Bram Platel, Bart M. ter Haar Romeny

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

50 Citations (Scopus)
168 Downloads (Pure)

Abstract

DBS for Parkinson’s disease involves an extensive planning to find a suitable electrode implantation path to the selected target. We have investigated the feasibility of improving the conventional planning with an automatic calculation of possible paths in 3D. This requires the segmentation of anatomical structures. Subsequently, the paths are calculated and visualized. After selection of a suitable path, the settings for the stereotactic frame are determined. A qualitative evaluation has shown that automatic avoidance of critical structures is feasible. The participating neurosurgeons estimate the time gain to be around 30 minutes.
Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings
EditorsN. Ayache, S. Ouselin, A. Maeder
Place of PublicationBerlin, Germany
PublisherSpringer
Pages584-592
Number of pages9
Volume1
ISBN (Print)978-3-540-75756-6
DOIs
Publication statusPublished - 1 Dec 2007
Event10th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2007 - Brisbane, Australia
Duration: 29 Oct 20072 Nov 2007

Publication series

NameLecture Notes in Computer Science
Volume4791
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2007
Country/TerritoryAustralia
CityBrisbane
Period29/10/072/11/07

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