Efficient anatomy driven automated multiple trajectory planning for intracranial electrode implantation

Rachel Sparks*, Gergely Zombori, Roman Rodionov, Maria A. Zuluaga, Beate Diehl, Tim Wehner, Anna Miserocchi, Andrew W. McEvoy, John S. Duncan, Sebastien Ourselin

*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

Epilepsy is curable if the epileptogenic zone (EZ) can be identified within the brain and resected. Intracranial depth electrodes help identify the EZ and also map cortical function. In current clinical practice,7–12 electrode trajectories typically needed,and are planned manually,requiring 2–3 h. Automated methods can reduce planning time and improve safety by computing suitable trajectories. We present anatomy driven multiple trajectory planning (ADMTP) to compute safe trajectories from anatomical regions of interest(ROIs). Trajectories are computed by (1) identifying targets within deep ROIs,(2) finding trajectories that traverse superficial ROIs and avoid critical structures (blood vessels,sulci),and (3) determining a feasible configuration of trajectories. ADMTP was evaluated on 20 patients (186 electrodes). Compared to manual planning,ADMTP lowered risk in 78% of trajectories and increased GM sampling in 56% of trajectories. ADMTP is computationally efficient,computing between 7–12 trajectories in 61 (15–279) s.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings
PublisherSpringer Verlag
Pages542-550
Number of pages9
Volume9900 LNCS
ISBN (Print)9783319467191
DOIs
Publication statusPublished - 1 Jan 2016
Event1st International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016 - Athens, Greece
Duration: 21 Oct 201621 Oct 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9900 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016
Country/TerritoryGreece
CityAthens
Period21/10/201621/10/2016

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