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188 protocols using mimics software

1

Evaluating Popliteus Tendon Dynamics in TKA

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Post-operatively, the full lower limb was scanned following the same imaging protocol used for the preoperative scans, to verify that the final alignment was in the range 180° ± 3°. Raw DICOM images enabled visualization of the popliteus during flexion before and after TKA implantation (Fig. 3). From these raw DICOM images, the popliteus was digitized by manual segmentation at each slice level, using Mimics® software (Materialize®, Leuven, Belgium) in order to generate three-dimensional (3D) reconstructions. Stereolithography files (STL) of the implants obtained from the manufacturer were superposed with the raw DICOM images (Fig. 4). Coordinates of digitized points were exported to spreadsheets and processed using MATLAB® (MathWorks®, Natick, MA, USA).

Imaging of the popliteus tendon from raw DICOM images, in a native (preoperative, blue) knee and in an implanted (post-operative, red) knee with an oversized component

Three-dimensional reconstruction of the knee, before and after implantation of a ‘normosized’ TKA. The popliteus crosses the posterolateral aspect of the tibial plateau. Bone reconstructions were obtained using Mimics® software (Materialize®), and implant models (STL files) were superposed

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2

3D Carotid Artery Reconstruction and CFD Analysis

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Twelve carotid artery geometries undergoing MRI scans were segmented to 3D geometry. The saved DICOM image files were converted from 2D images into 3D images using Mimics Software (version 20.0; Materialise NV, Leuven, Belgium). Inlets and outlets of all carotid artery geometries were cut uniformly in a plane perpendicular to the flow of blood. In the reconstructed geometry, unnecessary branches of the ECA were removed using an edit mask in a three-dimensional tool. All 3D carotid artery models were smoothed prior to the CFD simulation and analysis.
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3

Head and Neck CT Imaging Protocol

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Two head and neck specimens were scanned utilizing a GE 128-row VCT, and dual phase serial computer tomography (CT) images were obtained, with the slice thickness and pitch being set to 0.6mm. The images were analyzed for modeling and reconstruction with MIMICS software (MIMICS 18.0.0.525, Materialise, Leuven, Belgium).
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4

Vascularized Anterior Rib Flap Imaging Protocol

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A progressive and advanced outlining technique was previously described [6, (link)7, (link)16] (link). In those studies, sectioned and outlined images of a male cadaver (0.2-mm intervals; 0.2-mm pixels; 24-bit colour depth; resolution, 3,040 × 2,008; tagged image file format [TIFF]) were created [17] (link). Only images of the thorax associated with the vascularised anterior rib flap were chosen for the present study.
Moreover, we manually produced outlined images of the vascularised anterior rib flap structures such as the anterior intercostal artery using Mimics software (Materialise, Inc., Leuven, Belgium) at 1-mm intervals with a 0.2-mm pixel size (Fig. 1) [6, (link)7, (link)16] (link). The outlines of each structure were depicted by a specific colour, either semi-automatically or manually (Fig. 1) [12, (link)14, (link)15] (link).
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5

Brain Damage Evaluation by MRI

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Brain damage was evaluated at 1 and 15 days after injection by magnetic resonance imaging (MRI) of the brain at Sungkyunkwan University (Suwon, Korea). Mice were anesthetized with 1.5% isoflurane during MRI, and respiration and body temperature were continuously monitored. All MRI scans were performed on the horizontal bore 9.4 T/30 cm Bruker BioSpec magnetic resonance system (Billerica, MA, USA). T2-weighted images were obtained by means of rapid acquisition using a refocused echoes sequence with the following parameters: repetition time/echo time=4,000/26 ms, rapid acquisition with refocused echoes factor=8, number of excitations=5, field of view=20 (readout)×20 (phase encoding) mm2, matrix=256×256, in-plane resolution=78×78 μm2, slice thickness=250 μm, and 30 contiguous slices without gap in the coronal plane. The images were saved in 124-kB TIFF format to measure damage volume in three dimensions using Mimics software (Materialise, Leuven, Belgium). Injury volume reduction in mice was validated using the following equation: (injury volume at 1 day – volume at 15 day)/injury volume at 1 day.
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6

3D-Guided Facial Contouring Surgery

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Patients desiring improvements in zygoma or mandibular reduction, underwent spiral computed tomography (CT) scans at 1.0 mm slice thickness before and after surgery. The CT data were exported to Mimics software (Materialise, Brussels, Belgium), and axial images were used to construct a 3D model. In PCS, a soft tissue simulation was run based on simulated skeletal movements using a finite element modeling (FEM) soft tissue simulation algorithm. A 3D-printed customized template based on bone tissue simulation was used to direct the surgical process.
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7

Artificial Lung Lesion Phantom Creation

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The right lung lobe, airway, and lesions from anonymous patient chest CT images were manually segmented using Mimics software (Materialise Inc., Louvain, Belgium). The obtained chest areas were exported to the 3-matic software (Materialise Inc., Leuven, Belgium) for post-processing. The various well-known shapes and sizes of lung diseases including ground glass opacity (GGO) and solid nodules were artificially modeled and inserted in the images. Each phantom was designed and manufactured by one type of material and printer without need of assembly. Based on the HU measurements in Figures 2 and 3, abnormality lesions including GGO and solid nodules was set with 80 and 100 percent infill ratios, respectively. The lesions were set with appropriate infill ratios using the Ultimaker Cura. The final model file was converted into an STL file format for printing using the FDM printers.
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8

Microstructural Analysis of Vampire Fossils

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The three V. rhodanica fossils were initially imaged using µCT at the AST-RX platform at the MNHN and then using PPC-SRµCT at the European Synchrotron Radiation Facility Synchrotron (ESRF, ID 19 beamline, Grenoble, France). PPC-SRµCT data have a voxel size of 12.64 µm (MHNH.B.74247, MHNH.B.74243 and MHNH.B.74244); AST-RX platform µCT data have a voxel size of 88.60 µm (MHNH.B.74244). Specimens of V. infernalis were analysed using µCT at the Microscopy and Imaging Facility of the American Museum of Natural History (New York, USA). The voxel size for each specimen analysed was 38.40 µm for AMNH IZC 361496, and 18.25 µm for YPM IZ 018297.GP. See Supplementary material for microtomography details.
Final CT data were reduced in size using ImageJ software (cropping and size reduction by binning 2 × 2 × 2), and then segmented using Mimics software (Materialise NV, Belgium, Version 21.0). The contrasting densities of the mineralized soft tissues were utilized to identify anatomical features for segmentation. Morphological reconstructions were carried out for the three V. rhodanica specimens incorporating all possible internal and external soft tissues. A full reconstruction of V. infernalis was carried out on AMNH IZC 361496. Some suckers in YPM IZ 018297.GP had more clearly defined boundaries and these were integrated into the analysis to augment the data gathered from AMNH IZC 361496.
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9

3D Airway Modeling and Analysis

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During the awake baseline low‐radiation‐dose CT with CFD, patients were placed in a supine position and were asked to hold their breath at the end of a normal inspiration. Based on the scanned areas starting at the nasopharynx down to the larynx, 3D computer‐aided design models were reconstructed using Mimics software (Materialise, Leuven, Belgium). These models were subsequently transferred into a computational grid by FluidDa NV (Kontich, Belgium). The upper airway volume was determined and expressed as the effective upper airway volume in which air flows through, excluding leakage into the mouth. The total volume and the volume of the three individual sections of the pharynx were measured: velopharynx, oropharynx, and hypopharynx. Additional anatomical parameters, such as the minimal cross‐sectional area and the upper airway resistance were calculated.
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10

3D MRI-Informed Biomechanical Modeling

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A three-dimensional (3D) T1-weighted sagittal volumetric interpolated breath-hold examination (VIBE) of the study knee and a 3D T1-coronal lower-limb scan were undertaken prior to biomechanical assessment using a 3 Tesla MRI machine (Siemens Medical Systems, Erlangen, Germany). The 3D images of the lower limb bones and tibiofemoral joint cartilage were then segmented using Mimics software (Materialise, Leuven, Belgium). These segmentations were used to inform subject-specific anatomical geometry during modelling.
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