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3 matic modeling software

Manufactured by Materialise
Sourced in Belgium

3-matic modeling software is a computer-aided design (CAD) tool developed by Materialise. It allows users to create, manipulate, and prepare 3D models for various applications, such as medical and industrial uses. The software provides a range of tools and features to assist users in their design and modeling tasks.

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2 protocols using 3 matic modeling software

1

Symmetric Hip Model for Osteoid Osteoma Analysis

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A set of CT images of the hip of a 22-year-old man with suspected osteoid osteoma on the left femur neck was used to design a completely symmetric hip model containing the pelvis and proximal femur.
The CT scan of the pelvis and proximal femur was reconstructed into a 3D model using MIMICS 20.0 (Materialise, Leuven, Belgium). The right hemipelvis, containing the proximal femur, was mirrored to the pelvic sagittal plane and fused to the right hemipelvis itself to form a symmetric hip model45 (link). The distance from the center of the femoral head to the sagittal plane was measured using 3-matic modeling software (Materialise, Leuven, Belgium) at 80.23 mm.
The 3D image was 3D printed (Projet360, 3D Systems Inc., Rock Hill, CA, USA) using plaster material that absorbs radiation (VisiJet PXL, 3D Systems Inc.). The accuracy of the output was within 100 μm, according to the information provided by the manufacturer.
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2

3D Nasal Airway Modeling Using MIMICS

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The DICOM files were read using MIMICS 21.0 (Materialism's Interactive Medical Image Control System) software, and the models were reorientated in three different planes (Figure 3). In the sagittal plane, the sagittal line was set parallel to the palatal plane. In the axial view, the sagittal line was positioned at the patient's midsagittal plane, namely, from the anterior nasal spine (ANS) to the posterior nasal spine (PNS), and the coronal line was positioned perpendicular to the sagittal line. In the coronal view, the horizontal line was tangential to the margin of the bilateral nasal floor (Figure 3). The air was segmented by setting the threshold between -1024 Hounsfield Units (HU) and -480 HU. This airway space from the nostril to the hard palate level was the area of our study. The paranasal sinuses were evacuated manually because there was almost no airflow to clear the nasal cavity. After image segmenting and region growing, the patient-specific nasal airway 3D model was obtained (Figure 4). The 3D model was then transferred to the 3-matic modeling software (Materialise), through which additional processing of the model could be completed.
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