Paper Info
Title
Retrospective In Silico Evaluation Of Optimized Preoperative Planning For Temporal Bone Surgery
Abstract
Purpose Robot-assisted surgery at the temporal bone utilizing a flexible drilling unit would allow safer access to clinical targets such as the cochlea or the internal auditory canal by navigating along nonlinear trajectories. One key sub-step for clinical realization of such a procedure is automated preoperative surgical planning that incorporates both segmentation of risk structures and optimized trajectory planning. Methods We automatically segment risk structures using 3D U-Nets with probabilistic active shape models. For nonlinear trajectory planning, we adapt bidirectional rapidly exploring random trees on Bezier Splines followed by sequential convex optimization. Functional evaluation, assessing segmentation quality based on the subsequent trajectory planning step, shows the suitability of our novel segmentation approach for this two-step preoperative pipeline. Results Based on 24 data sets of the temporal bone, we perform a functional evaluation of preoperative surgical planning. Our experiments show that the automated segmentation provides safe and coherent surface models that can be used in collision detection during motion planning. The source code of the algorithms will be made publicly available. Conclusion Optimized trajectory planning based on shape regularized segmentation leads to safe access canals for temporal bone surgery. Functional evaluation shows the promising results for both 3D U-Net and Bezier Spline trajectories.
Year
DOI
Venue
2020
10.1007/s11548-020-02270-4
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
Keywords
DocType
Volume
Functional segmentation, 3D U-Net, Active shape models, Temporal bone, Robot-assisted surgery, Trajectory planning
Journal
15
Issue
ISSN
Citations 
11
1861-6410
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Johannes Fauser132.11
Simon Bohlender200.34
Igor Stenin314.07
Julia Kristin414.41
Thomas Klenzner5106.34
Jörg Schipper6108.71
Anirban Mukhopadhyay7115.35