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Quantitative assessments of geometric errors for rapid prototyping in medical applications

Cristobal Arrieta (Department of Electrical Engineering and Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile)
Sergio Uribe (Biomedical Imaging Center and Radiology Department, Pontificia Universidad Catolica de Chile, Santiago, Chile)
Jorge Ramos‐Grez (Department of Mechanical and Metallurgical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile)
Alex Vargas (Department of Surgery, Pontificia Universidad Catolica de Chile, Santiago, Chile)
Pablo Irarrazaval (Department of Electrical Engineering and Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile)
Vicente Parot (Department of Electrical Engineering and Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile)
Cristian Tejos (Department of Electrical Engineering and Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile)

Rapid Prototyping Journal

ISSN: 1355-2546

Article publication date: 28 September 2012

769

Abstract

Purpose

In medical applications, it is crucial to evaluate the geometric accuracy of rapid prototyping (RP) models. Current research on evaluating geometric accuracy has focused on identifying two or more specific anatomical landmarks on the original structure and the RP model, and comparing their corresponding linear distances. Such kind of accuracy metrics is ambiguous and may induce misrepresentations of the actual errors. The purpose of this paper is to propose an alternative method and metrics to measure the accuracy of RP models.

Design/methodology/approach

The authors propose an accuracy metric composed of two different approaches: a global accuracy evaluation using volumetric intersection indexes calculated over segmented Computed Tomography scans of the original object and the RP model. Second, a local error metric that is computed from the surfaces of the original object and the RP model. This local error is rendered in a 3D surface using a color code, that allow differentiating regions where the model is overestimated, underestimated, or correctly estimated. Global and local error measurements are performed after rigid body registration, segmentation and triangulation.

Findings

The results show that the method can be applied to different objects without any modification, and provide simple, meaningful and precise quantitative indexes to measure the geometric accuracy of RP models.

Originality/value

The paper presents a new approach to characterize the geometric errors in RP models using global indexes and a local surface distribution of the errors. It requires minimum human intervention and it can be applied without any modification to any kind of object.

Keywords

Citation

Arrieta, C., Uribe, S., Ramos‐Grez, J., Vargas, A., Irarrazaval, P., Parot, V. and Tejos, C. (2012), "Quantitative assessments of geometric errors for rapid prototyping in medical applications", Rapid Prototyping Journal, Vol. 18 No. 6, pp. 431-442. https://doi.org/10.1108/13552541211271974

Publisher

:

Emerald Group Publishing Limited

Copyright © 2012, Emerald Group Publishing Limited

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