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Mimics research 20

Manufactured by Materialise
Sourced in Belgium

Mimics Research 20.0 is a software application that allows users to visualize and analyze medical imaging data, such as CT and MRI scans. The software provides tools for segmentation, 3D modeling, and measurements, enabling researchers and clinicians to study anatomical structures in detail.

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5 protocols using mimics research 20

1

3D Modeling of Lumbar Spine Anatomy from CT

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The collected lumbar CT images (in DICOM format) containing at least L3-S1 levels were imported into Mimics Research 20.0 software (Materialise, Belgium). Based on CT grayscale and anatomical knowledge, target structures including vertebral bone, dura mater, nerve roots, and skin were delineated on transverse, sagittal, and coronal planes by adjusting the window width and level to enhance the region of interest (ROI) contrast. 3D reconstruction was performed to create distinct 3D models of the bone (green), dural sac (blue), and L3-S1 nerve roots (orange) (Fig. 1).

Three-dimensional reconstruction of lumbar models from CT images. Lumbar spine models containing the vertebral bone (green), dural sac (blue), and nerve roots (orange) were reconstructed from CT thin-slice images using Mimics software. The anatomy was delineated on coronal (a), transverse (b), and sagittal (c) planes by adjusting contrast and applying anatomical knowledge. This enabled precise 3D modeling (d) for subsequent measurement of key anatomical parameters related to lumbar puncture. Abbreviations: LILS—Lumbar interlaminar space, NR—Nerve root

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2

3D Reconstruction of Lumbar Spine

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The study protocol was approved by the local institutional review board. Lumbar CT (SOMATOM Definition Flash CT; SIEMENS Healthineers, Erlangen, Germany) with 1 mm slice thickness was performed on one patient with L4-5 herniation. The patient signed an informed consent document for the use of the CT data. Digital imaging and communications in medicine (DICOM) data were acquired and reconstructed with Mimics Research 20.0 software (Materialise, Leuven, Belgium). During the reconstruction, thin-layer CT axial images were first imported into the software. The bone segmentation was completed with the “CT bone segmentation toolkit”. The masks of the lumbar spine, sacrum, and ilium were then specified and reconstructed in a high-quality 3D rendering with the “Calculate 3D” function.
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3

Calcaneal Template Generation Using CT Imaging

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To obtain the calcaneal template, a 30-year-old man (who signed the informed consent) with no previous systemic disease or foot and ankle trauma, arthritis, or deformity had both ankles and feet scanned using a 64-slice spiral CT (Siemens, Germany) with a thickness of 0.75 mm. The CT data were obtained in the Digital Imaging and Communications in Medicine (DICOM) format. Next, the 3D entity of the right calcaneus was extracted using Mimics Research 20.0 software (Materialise, Leuven, Belgium). Using the Geomagic Studio 2014 (Geomagic, USA) software, the following operations were performed: re-meshing of the 3D solid, removal of the spike, appropriate smoothing to generate a 3D solid model of the calcaneus, and importing it into the E-3D Medical 18.01 (Central South University, Changsha, China) as a template.
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4

Detailed Mitral Valve Modeling for LVAD Patients

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The left atrium and the left ventricle of an LVAD patient were segmented from computed tomography (CT) images using Mimics Research 20.0 and 3-matic Research 13.0 (Materialise, Belgium NV). The end systolic volume of the atrium and ventricle of this patient were 169 and 295 cm3, respectively (Figure 1). The left atrial appendage geometry was occluded virtually (Ansys, SpaceClaim 19.3, Pennsylvania, United States) (Figure 1).
A mitral valve model (Domenichini and Pedrizzetti, 2015 (link)) was defined using the following parametric equations: xv(θ,s)=Rcosθ(1scosφ)εRscosφ
yv(θ,s)=Rsinθ(1skcosφ)
zv(θ,s)=s2(1+k2+εcosθ+1k2cos2θ)Rsinφ
In which θ is 100 points from 0 to 2π and s is 40 points from 0 to 1. ε=0.35 shows the symmetry ratio between anterior and posterior leaflet. k=0.6 , shows the ellipticity of the valvular edge. φ=60 , shows the opening angle of the mitral valve.
The created valve geometry was placed at the position and matching the orientation of the mitral valve as defined via the CT images.
The mitral valve was considered in the open status with a rigid wall and the flow rate over the mitral valve was controlled using the volume change of the left atrium and left ventricle, leading to zero flow rate over the mitral valve during systole.
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5

Hand Bone Segmentation in Grip Positions

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Each specimen was thawed at room temperature over a period of 24 h before being imaged using a 64-slice Discovery HD 750 CT scanner (GE Healthcare, Little Chalfont, UK; display field of view (DFOV): 173 mm; slice thickness: 0.625 mm; pixel spacing: 0.338/0.338 mm, voxel size: 0.071 mm3; 100 kV; 180 mA; image size: 512  × 512 pixels). A radio-translucent rig with a small (50 mm) and large diameter peg (125 m) was used to standardize each hand in the five functional grip positions (i.e., powerL, powerLA, powerLE, powerS, and pinch). This resulted in a total of 24 scan positions, as we were unable to position specimen Pp5 in a powerL grasp. Each trapezium and the first metacarpal was segmented separately using Mimics Research 20.0 (Materialise, Leuven, Belgium) and exported as triangular meshes.
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