Identifying the Sources of Error When Using 3-Dimensional Printed Head Models with Surgical Navigation.

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ID: 93874
2019
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Abstract
The evaluation of sources of error when preparing, printing, and using 3-dimensional (3D) printed head models for training purposes.Two 3D printed models were designed and fabricated using actual patient imaging data with reference marker points embedded artificially within these models that were then registered to a surgical navigation system using 3 different methods. The first method uses a conventional manual registration, using the actual patient's imaging data. The second method is done by directly scanning the created model using intraoperative computed tomography followed by registering the model to a new imaging dataset manually. The third is similar to the second method of scanning the model but eventually uses an automatic registration technique. The errors for each experiment were then calculated based on the distance of the surgical navigation probe from the respective positions of the embedded marker points.Errors were found in the preparation and printing techniques, largely depending on the orientation of the printed segment and postprocessing, but these were relatively small. Larger errors were noted based on a couple of variables: if the models were registered using the original patient imaging data as opposed to using the imaging data from directly scanning the model (1.28 mm vs. 1.082 mm), and the accuracy was best using the automated registration techniques (0.74 mm).Spatial accuracy errors occur consistently in every 3D fabricated model. These errors are derived from the fabrication process, the image registration process, and the surgical process of registration.
Reference Key
mehbodniya2019identifyingworld Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Mehbodniya, Amirhossein;Moghavvemi, Mahmoud;Narayanan, Vairavan;Muthusamy, Kalai A;Hamdi, Mohammad;Waran, Vicknes;
Journal world neurosurgery
Year 2019
DOI
S1878-8750(19)32698-1
URL
Keywords
surgical simulation image-guided surgery 3d printing in medicine

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