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Planning nonlinear access paths for temporal bone surgery

Fauser, Johannes ; Sakas, Georgios ; Mukhopadhyay, Anirban (2018)
Planning nonlinear access paths for temporal bone surgery.
In: International Journal of Computer Assisted Radiology and Surgery, 13 (5)
doi: 10.1007/s11548-018-1712-z
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

Purpose: Interventions at the otobasis operate in the narrow region of the temporal bone where several highly sensitive organs define obstacles with minimal clearance for surgical instruments. Nonlinear trajectories for potentialminimally invasive interventions can provide larger distances to risk structures and optimized orientations of surgical instruments, thus improving clinical outcomes when compared to existing linear approaches. In this paper, we present fast and accurate planning methods for such nonlinear access paths. Methods: We define a specific motion planning problem in SE(3) = R3 × SO(3) with notable constraints in computation time and goal pose that reflect the requirements of temporal bone surgery. We then present k-RRT-Connect: two suitable motion planners based on bidirectional Rapidly exploring Random Tree (RRT) to solve this problem efficiently. Results: The benefits of k-RRT-Connect are demonstrated on real CT data of patients. Their general performance is shown on a large set of realistic synthetic anatomies. We also show that these new algorithms outperform state-of-the-art methods based on circular arcs or Bézier-Splines when applied to this specific problem. Conclusion: With this work, we demonstrate that preoperative and intra-operative planning of nonlinear access paths is possible for minimally invasive surgeries at the otobasis.

Typ des Eintrags: Artikel
Erschienen: 2018
Autor(en): Fauser, Johannes ; Sakas, Georgios ; Mukhopadhyay, Anirban
Art des Eintrags: Bibliographie
Titel: Planning nonlinear access paths for temporal bone surgery
Sprache: Englisch
Publikationsjahr: 2018
Titel der Zeitschrift, Zeitung oder Schriftenreihe: International Journal of Computer Assisted Radiology and Surgery
Jahrgang/Volume einer Zeitschrift: 13
(Heft-)Nummer: 5
DOI: 10.1007/s11548-018-1712-z
URL / URN: https://doi.org/10.1007/s11548-018-1712-z
Kurzbeschreibung (Abstract):

Purpose: Interventions at the otobasis operate in the narrow region of the temporal bone where several highly sensitive organs define obstacles with minimal clearance for surgical instruments. Nonlinear trajectories for potentialminimally invasive interventions can provide larger distances to risk structures and optimized orientations of surgical instruments, thus improving clinical outcomes when compared to existing linear approaches. In this paper, we present fast and accurate planning methods for such nonlinear access paths. Methods: We define a specific motion planning problem in SE(3) = R3 × SO(3) with notable constraints in computation time and goal pose that reflect the requirements of temporal bone surgery. We then present k-RRT-Connect: two suitable motion planners based on bidirectional Rapidly exploring Random Tree (RRT) to solve this problem efficiently. Results: The benefits of k-RRT-Connect are demonstrated on real CT data of patients. Their general performance is shown on a large set of realistic synthetic anatomies. We also show that these new algorithms outperform state-of-the-art methods based on circular arcs or Bézier-Splines when applied to this specific problem. Conclusion: With this work, we demonstrate that preoperative and intra-operative planning of nonlinear access paths is possible for minimally invasive surgeries at the otobasis.

Freie Schlagworte: Minimally invasive surgery, Statistical shape models (SSM)
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 01 Jul 2019 08:39
Letzte Änderung: 01 Jul 2019 08:39
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