Each subject was imaged in seven positions with custom rigs [16 (link)]. The seven positions included clinical neutral position, unloaded pinch position, loaded pinch position at 80 % maximum effort, unloaded grasp position, loaded grasp position, unloaded jar twist position, and loaded jar twist position [16 (link)]. The settings used on the scanner were: tube parameters at 80 kVp and 80 mA, slice thickness of 0.625 mm, and in-plane resolution of 0.4 mm × 0.4 mm. The mean total radiation burden from seven scans for each subject was approximately 0.35 mSv. The trapezia and the first metacarpals were segmented semi-automatically using Mimics v12.11 (Materialise, Leuven, Belgium) and 3-D bone models were exported as meshed surfaces. The vertices of these surfaces were extracted to produce a training set of point clouds for SSM generation.
Mimics v12
Manufactured by Materialise
Sourced in Belgium
Mimics v12.11 is a software application developed by Materialise for medical image processing. It provides tools to visualize, analyze, and process medical imaging data, such as CT and MRI scans. The software enables users to generate 3D models from medical images for a variety of applications, including surgical planning and medical device design.
Automatically generated - may contain errors
Lab products found in correlation
4 protocols using mimics v12
1
3D Bone Model Generation from Medical Imaging
2
Quantitative Lung Imaging in Animal Studies
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All animals were evaluated by computed tomography (CT) imaging prior to irradiation, two months after irradiation, and 4 months after irradiation. Images were acquired on a 16-slice Siemens Biography computed tomography unit, without contrast, at a slice thickness of 0.5 cm, using a pediatric protocol. For this procedure, animals were sedated with ketamine and medetomidine, an endotracheal tube was placed, and anesthesia was induced and maintained with isoflurane. The lungs were fully inflated by manual pressure to the rebreathing bag for a brief breath-hold (approximately 10–20 s) during the scan to avoid motion artifacts. Regions of increased density in the lung were measured from image segmentations performed using Mimics v12.11 software (Materialise, Ann Arbor, MI, USA). A semiautomated method was used to isolate the volumes of air, normal lung tissue, and abnormally dense tissue within the lungs. Automatic thresholding, region growing, morphology, and Boolean operations were utilized, along with manual editing, to create masks representing each volume. Segmentations were performed by a single observer, blinded to treatment group. Three-dimensional reconstruction and volumetric calculations were used to determine the proportion of the lung occupied by air, normal lung tissue, and abnormally dense tissue [56 (link),57 (link),58 (link),59 (link)].
3
Segmentation of Hand Bones from CT Scans
4
Generating 3D Hand Bone Models from CT Scans
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Each participant was asked to scan the hand in clinically neutral position with scanner parameter setting of 80 kvp and 80 mA, slice thickness of 0.625 mm, in-plane resolution of 0.4 mm × 0.4 mm, and pixel size of 0.488. The first trapezoid-metacarpal joints were segmented using Mimics v12.11 (Materialise, Leuven, Belgium) and 3D bone models were exported as meshed surfaces with 3-Matic Research 13.0 (Materialise, Leuven, Belgium). All CT raw scans were introduced to the software of Mimics, the bones were generated and simulated as 3D modelings. Exporting the 3D modelings to the software of 3-Matic research to operate smoothing and meshing, the best size of grids and high quality of meshing of the bones were obtained. The vertices of these surfaces were extracted to produce a training set of point clouds for SSMs generation.
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