Quantitative assessments of geometric errors for rapid prototyping in medical applications

RAPID PROTOTYPING JOURNAL;
Rapid Prototyping J.

dc.creatorArrieta, Cristobal
dc.creatorUribe, Sergio
dc.creatorRamos-Grez, Jorge
dc.creatorVargas, Alex
dc.creatorIrarrazaval, Pablo
dc.creatorParot, Vicente
dc.creatorTejos, Cristian
dc.date2017-04-27T18:49:36Z
dc.date2022-07-07T01:40:02Z
dc.date2017-04-27T18:49:36Z
dc.date2022-07-07T01:40:02Z
dc.date2012
dc.date.accessioned2023-08-22T01:59:02Z
dc.date.available2023-08-22T01:59:02Z
dc.identifier0
dc.identifierD06I1026
dc.identifierD06I1026
dc.identifierWOS:000311532700001
dc.identifier1355-2546
dc.identifierhttps://hdl.handle.net/10533/196893
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8308611
dc.descriptionPurpose - 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 altemative 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.
dc.descriptionThis work has been supported by Fondecyt 1100864, Anillo ACT79 and Fondef D06I 1026.
dc.description2
dc.descriptionFONDEF
dc.descriptionciarriet@uc.cl
dc.descriptionFondecyt [1100864]; Anillo [ACT79]; Fondef [D06I 1026]
dc.descriptionFONDEF
dc.languageENG
dc.publisherEMERALD GROUP PUBLISHING LIMITED
dc.relationinstname: Conicyt
dc.relationreponame: Repositorio Digital RI2.0
dc.relationinstname: Conicyt
dc.relationreponame: Repositorio Digital RI2.0
dc.relationinfo:eu-repo/grantAgreement/Fondef/D06I1026
dc.relationinfo:eu-repo/semantics/dataset/hdl.handle.net/10533/93477
dc.relationhttps://doi.org/10.1108/13552541211271974
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleQuantitative assessments of geometric errors for rapid prototyping in medical applications
dc.titleRAPID PROTOTYPING JOURNAL
dc.titleRapid Prototyping J.
dc.typeArticulo
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.coverageBINGLEY


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