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Research Papers

Optimal Fiducial Configuration in Image-Guided Neurosurgery Using a Genetic Algorithm

[+] Author and Article Information
Laura Gastaldi, Alessandro Battezzato, Stefano Pastorelli

Department of Mechanics, Politecnico di Torino, Torino 10129, Italy

Claudio Bernucci, Marco Mannino

Neurorehabilitation Department, Azienda Ospedaliera Santa Croce e Carle, Cuneo 12100, Italy

J. Med. Devices 4(4), 041008 (Dec 06, 2010) (6 pages) doi:10.1115/1.4002853 History: Received September 10, 2010; Revised October 13, 2010; Published December 06, 2010; Online December 06, 2010

Image-guided neurosurgery allows surgeons to navigate and localize lesion through the patient’s cranium with a 3D image guidance. The model of the head is reconstructed using preoperative computed tomography or magnetic resonance images and real and virtual spaces are aligned by means of fiducial markers placed on the patient. In this paper, a new method for the optimal placement of the fiducial markers in order to reduce misalignment is presented. Using routine diagnostic images, a customized 3D model of the patient’s cranium is reconstructed. A genetic algorithm calculates optimal positions of the marker in order to minimize the target registration error. The fiducial set is shown to the surgeons on the 3D model to help him/her in placement of them.

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Copyright © 2010 by American Society of Mechanical Engineers
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Figures

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Figure 1

Neuronavigation in operating room

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Figure 3

(a), (b), and (c) Optimal fiducial configurations for N=8 obtained through different simulations. (d) The target.

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Figure 4

(a) An optimal fiducial configuration for N=8. (b) The target.

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Figure 5

TRE mean and minimum values during simulation

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Figure 6

TRE trend as a function of the number of markers N

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Figure 7

Internal target case is studied. (a) Unoptimized configuration TRE values and (b) the gain obtained with the optimization technique

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Figure 8

External target case is studied. (a) Unoptimized configuration TRE values and (b) the gain obtained with the optimization technique

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