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Stereotactic Neuro-Navigation Phantom Designs: A Systematic Review

Authors :
Marko Švaco
Ivan Stiperski
Domagoj Dlaka
Filip Šuligoj
Bojan Jerbić
Darko Chudy
Marina Raguž
Source :
Frontiers in Neurorobotics, Vol 14 (2020)
Publication Year :
2020
Publisher :
Frontiers Media S.A., 2020.

Abstract

Diverse stereotactic neuro-navigation systems are used daily in neurosurgery and novel systems are continuously being developed. Prior to clinical implementation of new surgical tools, methods or instruments, in vitro experiments on phantoms should be conducted. A stereotactic neuro-navigation phantom denotes a rigid or deformable structure resembling the cranium with the intracranial area. The use of phantoms is essential for the testing of complete procedures and their workflows, as well as for the final validation of the application accuracy. The aim of this study is to provide a systematic review of stereotactic neuro-navigation phantom designs, to identify their most relevant features, and to identify methodologies for measuring the target point error, the entry point error, and the angular error (α). The literature on phantom designs used for evaluating the accuracy of stereotactic neuro-navigation systems, i.e., robotic navigation systems, stereotactic frames, frameless navigation systems, and aiming devices, was searched. Eligible articles among the articles written in English in the period 2000–2020 were identified through the electronic databases PubMed, IEEE, Web of Science, and Scopus. The majority of phantom designs presented in those articles provide a suitable methodology for measuring the target point error, while there is a lack of objective measurements of the entry point error and angular error. We identified the need for a universal phantom design, which would be compatible with most common imaging techniques (e.g., computed tomography and magnetic resonance imaging) and suitable for simultaneous measurement of the target point, entry point, and angular errors.

Details

Language :
English
ISSN :
16625218
Volume :
14
Database :
Directory of Open Access Journals
Journal :
Frontiers in Neurorobotics
Publication Type :
Academic Journal
Accession number :
edsdoj.59ba43cc22c2484d9a93e7c4488b357d
Document Type :
article
Full Text :
https://doi.org/10.3389/fnbot.2020.549603