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Materialize 3 matic 13

Manufactured by Materialise
Sourced in Belgium

Materialise 3-Matic 13.0 is a software tool designed for 3D modeling and mesh processing. It provides users with a range of tools and functionalities to work with 3D data, including mesh repair, optimization, and preparation for additive manufacturing.

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2 protocols using materialize 3 matic 13

1

Dimensional Accuracy Evaluation of AM Models

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The AM model was scanned using the CT of multimodality Siemens Inveon® μCT (Siemens Medical Solutions, Inc., Molecular Imaging, Knoxville, United States) for small animals using the following parameters: 60 kV peak voltage, 250 mA tube current, 200 ms exposure time, and 0.20 mm slice thickness. The DICOM data obtained from this scan was converted into an STL file using Materialize Mimics Research 21.0 software. The dimensional accuracy of the AM model was analyzed by point-based part comparison analysis between the custom-defined hard tissue anatomical landmarks on the STL file of the animal specimen and AM models using Materialize 3-Matic 13.0 software (Materialize, Leuven, Belgium). We choose the palatal cusp tips for all maxillary teeth, the posterior-most tip of the palatine bone for the Z–X plane orientation, the anterior-most tip of the nasal bone, the external occipital protuberance for the Y–Z plane orientation, and the midline of the incisors and the incisal edges for the X–Y plane orientation. The parts showing a mismatch of overlap were further segmented using segmentation analysis function and analyzed. The models underwent a second cycle of cleaning process as mentioned in “Section 3D model generation,” and dimensional evaluation using part-comparison analysis was repeated using the same protocol (36 (link)).
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2

Micro-CT Dimensional Analysis of Phantoms

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Samples were scanned using micro-CT (Siemens Inveon® μCT, Siemens Medical Solutions, Inc. Molecular Imaging, Knoxville, United States) with the following parameters: 40–50 kV, 200 mA exposure time, one sample per pixel (indicating the number of separate planes in an image), 1024 rows and columns pixel, 9.75µm x 9.75µm spacing, 9.75µm slice thickness. The images were rendered and segmented using Mimics Research 21.0 software (Materialize, Leuven, Belgium). Image-derived volumetric dimensional comparison was performed by comparing the rendered STL files of the micro-CTs of test phantoms over the original STL files (Section 2.1) using Materialize 3-Matic 13.0 software (Materialize, Leuven, Belgium) according to protocol established by our group [13] (link). The mean difference and standard deviation in the volume of each sample per material, relative to the planned volume in the test phantom design was calculated and graphically plotted. The statistical analysis for dimensional comparison was performed using ANOVA, t-test and Post-hoc Bonferroni correction (p<0.05).
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