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Image processing language v4.29d

Manufactured by Scanco
Sourced in Switzerland

Image Processing Language v4.29d is a software tool designed for the analysis and processing of digital images. It provides a range of functions and algorithms for tasks such as image segmentation, feature extraction, and data visualization. The software is intended to be used by researchers, scientists, and engineers working with image-based data, but its core function is to facilitate the manipulation and analysis of digital images.

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8 protocols using image processing language v4.29d

1

Subchondral Bone Structure Analysis via Micro-CT

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Subchondral bone microstructure under medial side of tibial plateaus was determined by high-resolution micro-CT 40 system scans (Scanco Medical, Wangen-Brüttisellen, Switzerland). Besides the total subchondral bone, trabecular bone compartment was also segregated by selecting the region of interest at the cancellous bone and excluding the subchondral plate and the calcified growth plate. A total of 100 3D sagittal images of the tibiae medial subchondral bone (n = 5) were evaluated at global threshold (158 mg hydroxyapatite/cm3) and a Gaussian filter was used (sigma: 0.8, support: 2) to suppress image noise. Parameters including bone mineral density (BMD) and bone volume/total tissue volume (BV/TV) were determined with a built-in program (Image Processing Language v4.29d, Scanco Medical).15 (link),23 (link)
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2

Microarchitectural Analysis of Rat Femurs

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The rat femurs were scanned using a desktop preclinical specimen micro-computed tomography (uCT-35, Scanco Medical, Bassersdorf, Switzerland). In brief, the femurs were fixed with 4% paraformaldehyde for 24 h and scanned using microCT35 with a resolution of 8 mm isometric voxel at 70 kV and 114 mA. Three-dimensional (3D) reconstructions of mineralized tissues were performed by an application of a global threshold (211 mg hydroxyapatite/cm3), and a Gaussian filter (sigma = 0.8, support = 2) was used to suppress noise. The three-dimensional reconstructed images were used directly to quantify microarchitecture, and the morphometric parameters including bone volume fraction (BV/TV), trabecular number (Tb.N, 1/mm), trabecular separation (Tb.Sp, mm), and trabecular thickness (Tb. Th, mm) were calculated with the image analysis program of the micro-CT workstation (Image Processing Language v4.29d, Scanco Medical, Switzerland).
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3

Radiographic Evaluation of Femur and Knee Joint

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Lateral radiographs of the femur and knee joint were obtained at 3, 21, and 42 days after implantation. Radiographic manifestations were assessed on the basis of a modified scoring system.23 (link),31 (link) X-rays of the femurs and knee joints in all groups were read and interpreted in a blind manner by a radiologist unaware of the grouping characteristics and inoculum. Femurs were harvested and evaluated using a high-resolution micro-CT (SCANCO MEDICAL, μCT 80, CH-8306, Brüttisellen, Switzerland) at an isometric resolution of 20 μm (70 kV and 130 μA radiation source with 0.5 mm aluminum filter). Three-dimensional high-resolution reconstruction images obtained from the overall, longitudinal and transverse sections, the bone volume/total volume and the cortical bone mineral density of rat femurs were analyzed by the software (Image Processing Language, v4.29d, Scanco Medical AG, Brüttisellen, Switzerland) provided by the manufacturer.
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4

High-resolution Distal Femur Microstructure Analysis

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The microstructure of distal femoral metaphysis was analysed using high-resolution vivaCT 40 (Scanco Medical, Bruttisellen, Switzerland), as previously reported [32 (link),33 (link)]. Image acquisition was performed at 70 kV and 114 μA, with a resolution of 17.5 μm per voxel, and the segmentation parameters for the bone from the background were fixed at Sigma = 0.8, Support = 2, and Threshold = 158–1000 [34 ]. For the distal femur 3D reconstruction, the VOI was 530 slices starting from the top. As for the bone defect 3D reconstruction, a consistent region of interest (ROI) was located in the central 1 mm diameter circle of the defected site, and the VOI of this region was 160 slices. Bone volume/tissue volume (BV/TV), and bone mineral density (BMD) were determined with a built-in program (Image Processing Language v4.29d, Scanco Medical, Bruttisellen, Switzerland).
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5

Quantifying Spinal Trabecular Microarchitecture

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The fourth lumbar vertebrae were scanned using a desktop preclinical specimen micro-CT (μCT-40; Scanco Medical, Bassersdorf, Switzerland). Briefly, the vertebral bodies were aligned perpendicular to the scanning axis for a total scanning length of 6.0 mm at a custom isotropic resolution of 8-μm isometric voxel size with a voltage of 70 kV p and a current of 114 lA. Three-dimensional (3D) reconstructions of mineralized tissues were performed by an application of a global threshold (211 mg hydroxyapatite/cm3), and a Gaussian filter (sigma = 0.8, support = 2) was used to suppress noise. A volume of interest containing only trabecular bone within the vertebral body extracted from the cortical bone with 1.80-mm thick (150 slices) was acquired 1.0–1.2 mm from both cranial and caudal growth plate–metaphyseal junctions. The 3D reconstructed images were used directly to quantify microarchitecture, and the morphometric parameters including bone volume fraction (BV/TV), trabecular number (Tb.N, 1/mm), trabecular thickness (Tb.Th, mm), trabecular separation (Tb.Sp, mm) and connective density (Conn.D, 1/mm3) were calculated with the image analysis program of the microCT workstation (Image Processing Language, v4.29d; Scanco Medical, Switzerland) [17] (link).
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6

Micro-CT Analysis of Femoral Bone

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The fixed right femurs were analyzed using high-resolution micro-computed tomography (CT; μCT80, Scanco Medical, Switzerland). A 6-mm region in the middle of the femur was scanned (Amugongo et al., 2014 (link)), and the scanning protocol was set at an isometric resolution at 10 μm, and X-ray energy settings of 70 kV and 1170 mA, with a voxel size of 10 μm in all three spatial dimensions. Two hundred consecutive slices at the mid-point of the femur were chosen for further quantitative analysis. The parameters of bone surface/total volume (BS/BV, %), cortical bone thickness (Ct. Th, mm) and percentage of total porosity (%) of each sample were calculated using the software (Image Processing Language, v4.29d, Scanco Medical AG, Bassersdorf, Switzerland) provided with the instrument.(Cheng et al., 2009 (link); Cipriani et al., 2012 (link)).
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7

Femur Microarchitecture Analysis via Micro-CT

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The structural changes of femurs were analyzed using micro‐CT (Scanco Medical, Switzerland). Briefly, the right femurs were fixed in a custom‐made holder. Image acquisition was performed at 70 kV and 118 µA, with a resolution of 10 µm per voxel. The grayscale images were segmented to perform 3D reconstruction of the mineralized bone phase to quantify microarchitecture of trabecular and cortical bone using the software of the micro‐CT workstation. For trabecular bone analysis, 100 continuous slices located under the growth plate inside the cortical bone were selected as the volume of interest (VOI). BV/TV, Tb. Th, Tb. N, trabecular separation (Tb. Sp), and BMD were analyzed using the built‐in program (Image Processing Language v4.29d, Scanco Medical). For cortical bone assessment, 100 continuous slices of the cortical bone in the midshaft of femurs were selected as the VOI. Ct. Th, BA/TA, and BMD were analyzed.
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8

Microstructural Analysis of Subchondral Bone

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Microstructure of subchondral bone (n ¼ 10 per group) was analyzed using high-resolution micro-CT 40 (Scanco Medical, Bruttisellen, Switzerland). Three-dimensional (3D) images of 100 sagittal images of the tibiae subchondral bone were evaluated at global threshold (158 mg hydroxyapatite/cm 3 ) and a Gaussian filter (sigma ¼ 0.8, support ¼ 2) to suppress noise. Parameters including bone mineral density (BMD) and bone volume/total tissue volume (BV/TV) were determined with built-in programme (Image Processing Language v4.29d, Scanco Medical) 19 (link) .
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