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Proceedings Paper

Dimensional accuracy of 3D printed vertebra
Author(s): Kent Ogden; Nathaniel Ordway; Dalanda Diallo; Gwen Tillapaugh-Fay; Can Aslan
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Paper Abstract

3D printer applications in the biomedical sciences and medical imaging are expanding and will have an increasing impact on the practice of medicine. Orthopedic and reconstructive surgery has been an obvious area for development of 3D printer applications as the segmentation of bony anatomy to generate printable models is relatively straightforward. There are important issues that should be addressed when using 3D printed models for applications that may affect patient care; in particular the dimensional accuracy of the printed parts needs to be high to avoid poor decisions being made prior to surgery or therapeutic procedures. In this work, the dimensional accuracy of 3D printed vertebral bodies derived from CT data for a cadaver spine is compared with direct measurements on the ex-vivo vertebra and with measurements made on the 3D rendered vertebra using commercial 3D image processing software. The vertebra was printed on a consumer grade 3D printer using an additive print process using PLA (polylactic acid) filament. Measurements were made for 15 different anatomic features of the vertebral body, including vertebral body height, endplate width and depth, pedicle height and width, and spinal canal width and depth, among others. It is shown that for the segmentation and printing process used, the results of measurements made on the 3D printed vertebral body are substantially the same as those produced by direct measurement on the vertebra and measurements made on the 3D rendered vertebra.

Paper Details

Date Published: 12 March 2014
PDF: 8 pages
Proc. SPIE 9036, Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling, 903629 (12 March 2014); doi: 10.1117/12.2043489
Show Author Affiliations
Kent Ogden, SUNY Upstate Medical Univ. (United States)
Nathaniel Ordway, SUNY Upstate Medical Univ. (United States)
Dalanda Diallo, SUNY Upstate Medical Univ. (United States)
Gwen Tillapaugh-Fay, SUNY Upstate Medical Univ. (United States)
Can Aslan, Syracuse Univ. (United States)


Published in SPIE Proceedings Vol. 9036:
Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling
Ziv R. Yaniv; David R. Holmes, Editor(s)

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