Print Email Facebook Twitter Numerical optimization of alignment reproducibility for customizable surgical guides Title Numerical optimization of alignment reproducibility for customizable surgical guides Author Kroes, T. Valstar, E.R. Eisemann, E. Faculty Electrical Engineering, Mathematics and Computer Science Department Intelligent Systems Date 2015-04-11 Abstract Purpose Computer-assisted orthopedic surgery aims at minimizing invasiveness, postoperative pain, and morbidity with computer-assisted preoperative planning and intra-operative guidance techniques, of which camera-based navigation and patient-specific templates (PST) are the most common. PSTs are one-time templates that guide the surgeon initially in cutting slits or drilling holes. This method can be extended to reusable and customizable surgical guides (CSG), which can be adapted to the patients’ bone. Determining the right set of CSG input parameters by hand is a challenging task, given the vast amount of input parameter combinations and the complex physical interaction between the PST/CSG and the bone. Methods This paper introduces a novel algorithm to solve the problem of choosing the right set of input parameters. Our approach predicts how well a CSG instance is able to reproduce the planned alignment based on a physical simulation and uses a genetic optimization algorithm to determine optimal configurations. We validate our technique with a prototype of a pin-based CSG and nine rapid prototyped distal femora. Results The proposed optimization technique has been compared to manual optimization by experts, as well as participants with domain experience. Using the optimization technique, the alignment errors remained within practical boundaries of 1.2 mm translation and 0.9? rotation error. In all cases, the proposed method outperformed manual optimization. Conclusions Manually optimizing CSG parameters turns out to be a counterintuitive task. Even after training, subjects with and without anatomical background fail in choosing appropriate CSG configurations. Our optimization algorithm ensures that the CSG is configured correctly, and we could demonstrate that the intended alignment of the CSG is accurately reproduced on all tested bone geometries. Subject knee replacement surgeryphysical simulationcustomizable surgical guidesurgical navigation devicegenetic optimization To reference this document use: http://resolver.tudelft.nl/uuid:0c63ad0e-46e6-48c1-b3fd-d32f977be0cf Publisher Springer ISSN 1861-6410 Source https://doi.org/10.1007/s11548-015-1171-8 Source International Journal of Computer Assisted Radiology and Surgery, 10 (10), 2015 Part of collection Institutional Repository Document type journal article Rights © 2015 The Author(s)This article is published with open access at Springerlink.com Files PDF Kroes_2015.pdf 1.87 MB Close viewer /islandora/object/uuid:0c63ad0e-46e6-48c1-b3fd-d32f977be0cf/datastream/OBJ/view