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Multimodal Risk-Map for Navigation Planning in Neurosurgical Interventions

Kunz, Christian; Gerst, Maximilian; Henrich, Pit; Mathis-Ullrich, Franziska

Abstract (englisch):
Planning a keyhole neurosurgical intervention is challenging due to the complex brain anatomy and the risk of penetrating vital structures. This work presents a neurosurgical planning tool for safe and effective interventions in the brain by minimizing risk due to optimized access planning. The tool uses a modular architecture that allows integration of various risk structures, combined in a holistic model represented as volumetric risk maps. Risk evaluations are computed for linear and nonlinear trajectories and intuitively visualized as a projection onto the head surface. Neurosurgeons can choose between two separate modes for automatic access planning according to the type and complexity of the neurosurgical procedure. An evaluation with clinical experts demonstrates the practical relevance.

Zugehörige Institution(en) am KIT Institut für Anthropomatik und Robotik (IAR)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2021
Sprache Englisch
Identifikator ISBN: 978-3-030-58103-9
ISSN: 2211-0984
KITopen-ID: 1000123852
Erschienen in New Trends in Medical and Service Robotics. Eds: G. Rauter, P. C. Cattin, A Zam, R. Riener, G. Carbone, D. Pisla
Veranstaltung 7th International Workshop on Medical and Service Robots (MESROB 2021), Zürich, Schweiz, 07.06.2021 – 09.06.2021
Verlag Springer
Serie Mechanisms and Machine Science ; 93
Bemerkung zur Veröffentlichung Veranstaltung sollte ursprünglich vom im Juli 2020 stattfinden.
Vorab online veröffentlicht am 18.09.2020
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