Analysis of the geometry reconstruction accuracy of the anatomical structure using industrial tomography and laser head
Author(s) -
Jan Burek,
P. Turek
Publication year - 2018
Publication title -
mechanik
Language(s) - English
Resource type - Journals
ISSN - 0025-6552
DOI - 10.17814/mechanik.2018.11.173
Subject(s) - head (geology) , tomography , computed tomography , process (computing) , laser , computer science , industrial computed tomography , computer vision , stage (stratigraphy) , artificial intelligence , geometry , geology , medicine , mathematics , radiology , optics , physics , operating system , geomorphology , paleontology
Reverse engineering is a process that allows to recreate the geometry of an existing object [1,2]. It is used in many fields, including in medicine. The geometry of the anatomical structure model can be reconstructed in two ways in which the measurements are performed on the living body or outside it. Using the medical path, it is possible to reconstruct the geometry of anatomical structures [3,4] and to make surgical templates [5] and ready implants [6]. The nonmedical path is mainly a supplement to the medical path. Coordinated measuring systems used in this path are mainly used to verify the accuracy of models used in the medical industry [7], as well as to design orthoses stabilizing joints [8]. Each stage of the medical and non-medical path influences the accuracy of the reconstruction of the model's geometry. One of the key steps is the acquisition of data the appropriate selection of the system, parameters and measurement strategy determines the quality of the obtained data [9,10]. The stage of data processing usually starts with the process of digital filtration, consisting in removing the noise found in 2D images (in the case of a medical path) and point clouds (in the case of a non-medical path). After filtration, a full model geometry is obtained, however, in the case of a medical path, the segmentation process is additionally performed. It is used to isolate the anatomical structure from 2D images through the use of various methods, based mainly on edge detection and identification of image areas that are characterized by some common features [11]. In both reconstruction methods, the reconstructed geometry is usually triangulated, leading to a faceted surface that requires additional editing, including the reversal of normal vectors and the removal of holes between triangles [11]. The finished model, represented by the faceted surface, can be manufactured using various additive techniques [12, 13]. Further modeling is also possible, consisting in covering the polygonal mesh with elementary surfaces [14]. The obtained model can be exported using various CAD data exchange formats, such as *.iges or *.step, or it can be used to execute a machining program on computer numerical controlled machines [15].
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