All measurements were performed on the pre- as well as the postoperative 3D model, using 3-matic Medical software (version 11.0; Materialise, Leuven, Belgium). First, the conventional step-offs and gaps were measured in 3D. Furthermore, an additional parameter, the total gap area was introduced. The method of measuring of each parameter is described in the following sections.
3 matic medical software
Manufactured by Materialise
Sourced in Belgium
3-matic Medical software is a CAD software designed for medical applications. It provides tools for the visualization, segmentation, and preparation of medical images for 3D printing and other medical uses.
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Lab products found in correlation
3 protocols using 3 matic medical software
1
3D Measurement of Postoperative Outcomes
2
3D Modeling and Virtual Reduction of Acetabular Fractures
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The CT data (maximum slice thickness of 2 mm) was imported into the Mimics Medical software (version 19.0; Materialise, Leuven, Belgium). A 3D model of the pelvis was generated by segmentation of the bone tissue (Fig 1 ), using a preset threshold for bone. The unilateral fracture fragments were identified. Subsequently, virtual anatomical reduction of the fragments was performed by using the mirrored intact acetabulum, of that same patient, as a template (3-matic Medical software, version 11.0; Materialise, Leuven, Belgium). The preoperative fragments were matched with the postoperative 3D model, to determine the postoperative fragment locations within the acetabulum. An animation, in which the 3D models and measurements methods are clarified, is included as: S1 Video .
3
Evaluating Dental Scan Accuracy
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The STL files of registered scans (CBCT, µCT, Trios IOS) were imported into 3-matic medical software (version 12.0, Materialise, Leuven, Belgium). All superimposed scans were trimmed using the same plane to isolate each tooth individually. To evaluate the trueness, the distance maps (Euclidean distance) between surfaces were calculated by applying part comparison analysis with color coded map for acquiring the root mean square (RMS) error (Figure 4). This analysis was performed between µCT scan and other scans for every single tooth taking the µCT, the gold standard, as reference.
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