Cumulative inaccuracies in implementation of additive manufacturing through medical imaging, 3D thresholding, and 3D modeling: A case study for an end-use implant

Published: 25 April 2020| Version 2 | DOI: 10.17632/d9j2chwdz8.2
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Description

This data belongs to the original scientific article that is “Cumulative Inaccuracies in Implementation of Additive Manufacturing Through Medical Imaging, 3D Thresholding, and 3D Modeling: A Case Study for an End-Use Implant” by Jan Sher Akmal, Mika Salmi, Björn Hemming, Linus Teir, Anni Suomalainen, Mika Kortesniemi, Jouni Partanen, and Antti Lassila published with MDPI in Applied Sciences (Switzerland) Special Issue — 3D Printing of Bioactive Medical Device . It contains medical CT-images of a sus domesticus acquired using a Siemens Somatom Definition Edge CT system. Please cite the original scientific article if you use this data as follows: Akmal, J.S.; Salmi, M.; Hemming, B.; Teir, L.; Suomalainen, A.; Kortesniemi, M.; Partanen, J.; Lassila, A. Cumulative Inaccuracies in Implementation of Additive Manufacturing Through Medical Imaging, 3D Thresholding, and 3D Modeling: A Case Study for an End-Use Implant. Appl. Sci. 2020, 10, 2968. https://doi.org/10.3390/app10082968

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Institutions

Aalto-yliopisto, Teknologian tutkimuskeskus VTT Oy, Aalto-yliopisto Insinooritieteiden korkeakoulu, HUS Rontgentutkimus, Mittatekniikan keskus MIKES

Categories

Engineering, Radiology, Uncertainty, Computer-Aided Design, Biomedical Engineering, Mechanical Engineering, Medical Imaging, Computer-Aided Manufacturing, 3D Imaging, Image Segmentation, Manufacturing, Error Analysis, Computed Tomography, Cranio-Maxillofacial Surgery, Three Dimensional Printing, Spatial 3D Modeling, Accuracy Analysis, Error Propagation, Segmentation, Uncertainty Analysis, Implant, Clinical Uncertainty, Design for Additive Manufacture

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