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Tactics: an open-source platform for planning, simulating and validating stereotactic surgery.

Authors :
Adair DSP
Gomes KS
Kiss ZHT
Gobbi DG
Starreveld YP
Source :
Computer assisted surgery (Abingdon, England) [Comput Assist Surg (Abingdon)] 2020 Dec; Vol. 25 (1), pp. 1-14.
Publication Year :
2020

Abstract

Frame-based stereotaxy is widely used for planning and implanting deep-brain electrodes. In 2013, as part of a clinical study on deep-brain stimulation for treatment-resistant depression, our group identified a need for software to simulate and plan stereotactic procedures. Shortcomings in extant commercial systems encouraged us to develop Tactics. Tactics is purpose-designed for frame-based stereotactic placement of electrodes. The workflow is far simpler than commercial systems. By simulating specific electrode placement, immediate in-context view of each electrode contact, and the cortical entry site are available within seconds. Post implantation, electrode placement is verified by linearly registering post-operative images. Tactics has been particularly helpful for invasive electroencephalography electrodes where as many as 20 electrodes are planned and placed within minutes. Currently, no commercial system has a workflow supporting the efficient placement of this many electrodes. Tactics includes a novel implementation of automated frame localization and a user-extensible mechanism for importing electrode specifications for visualization of individual electrode contacts. The system was systematically validated, through comparison against gold-standard techniques and quantitative analysis of targeting accuracy using a purpose-built imaging phantom mountable by a stereotactic frame. Internal to our research group, Tactics has been used to plan over 300 depth-electrode targets and trajectories in over 50 surgical cases, and to plan dozens of stereotactic biopsies. Source code and pre-built binaries for Tactics are public and open-source, enabling use and contribution by the extended community.

Details

Language :
English
ISSN :
2469-9322
Volume :
25
Issue :
1
Database :
MEDLINE
Journal :
Computer assisted surgery (Abingdon, England)
Publication Type :
Academic Journal
Accession number :
32401082
Full Text :
https://doi.org/10.1080/24699322.2020.1760354