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Ctvol v2

Manufactured by Bruker
Sourced in United States

CTVol v2.0 is a software package developed by Bruker for the analysis and visualization of computed tomography (CT) data. It provides tools for efficiently processing and interpreting CT scans, enabling users to extract quantitative information from their data.

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12 protocols using ctvol v2

1

Micro-CT Analysis of Molar Root Canals

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This study was approved by the local ethics committee under CAAE number 79232617.7.0000.5374. Twenty-one teeth (based on a sample calculus) were selected from an initial sample of 122 mandibular human molar teeth, displaying complete rhizogenesis, patent canals presenting mesial roots, individualized canals and foramina, Vertucci's type IV classification, and root curvature between 20 and 40 degrees.
16 (link)
Tooth crowns were removed by a diamond disc to standardize canal length at 16 mm. The 16 mm was divided into three thirds. The apical third considered at 1 to 5 mm, the middle at 6 to 10 mm, and the cervical at 11 to 16 mm from the apex. After specimen selection and standardization, the specimens were submitted to an initial scanning using a SkyScan 1173 device (Bruker-microCT, Kontich, Belgium) at 17.09 μm pixel size, 114 mA, 70 kV, 360 degrees, 1.0 for ∼18 minutes per specimen.
The acquired images were reconstructed in transverse slices using the NRecon 1.7.1.0 software (Bruker-microCT). The 3D images of the mesial roots were obtained and evaluated by the CTVol v.2.2.1 software (Bruker-microCT). The internal morphology of the Vertucci's type IV root canal was confirmed by the micro-CT images. Canal morphological parameters (volume and surface area) were acquired using the CTAn v.1.14.4 software (Bruker-microCT) and served as basis for sample matching.
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2

Volumetric Analysis of Remaining Endodontic Filling

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The pre- and postoperative scans were geometrically aligned using the 3D registration function of DataViewer v. 1.5.1 software and the CTAn v. 1.14.4 software (Bruker micro-CT, Bruker Corp. Billerica, MA, USA) was used to process the image datasets. Binary images of the dentin and filling material were generated by utilizing task lists. A customized processing tool with functions and mathematical operations was used for this purpose. Using the grayscale threshold, we were able to clearly define the area that is dentin, the area that constituted filling materials and which areas were actually voids. The area that constituted the filling materials was chosen as the region of interest. This was done in each cross section and by the integration of the regions of interest of all the cross sections, the final volume of interest was calibrated and calculated. For the quantitative volumetric analysis of the remaining filling material including gutta-percha and sealer, CTVol v. 2.2.1 (Bruker micro-CT, Bruker Corp. Billerica, MA, USA) was used. A blinded observer then analyzed the remaining volume of filling material in each specimen.
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3

Micro-CT Analysis of Inlay Cement Thickness

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The cement thickness at the margins and internal surface of the inlays were measured using highresolution 3D micro-CT (Skyscan 1172, Bruker-micro-CT, Kontich, Belgium). The X-ray tube was operated at 100 kV and 100 μA using a 0.5 mm Al+Cu filter at a resolution of 10 μm pixels. Each specimen was scanned for a total of 60 minutes at rotation 180° around the vertical axis. The camera exposure time was 1400 ms, with a rotation step of 0.40, average frame of 3 and random movement of 20 mm. System reconstruction software (NRecon v.1.6.3, Skyscan, Brucker-micro-CT) was then employed in order to reconstruct the axial cross-sections of the resulting two-dimensional images (8-bit TIFF) with a beam hardening correction of 55%, smoothing of 3, and an attenuation coefficient range of 0-0.064000. Thereafter, 3D reconstructions were developed using the softwares to produce the linear and volumetric analysis (CTAn v.1.12 and CT Vol v.2.2.1, Skyscan, Bruker-micro-CT). Finallly, gingival cement thickness was calculated for marginal area and mean axial and pulpal cement thickness were calculated for internal cement thickness (Fig. 1).
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4

Micro-CT Analysis of Root Canal Obturation

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After all canals were obturated, the roots were once again scanned by micro-CT using the same parameters described previously. All sections were reconstructed with the NRecon software (Bruker-MicroCT). The length of the root canal obturations was measured in millimeters using the CTAn v.1.14.4 software (Bruker-MicroCT). Images were converted to NRRD file format using the Image J 1.50d software (National Institutes of Health, Bethesda, Maryland, United States). Subsequently, the images were captured using the 3D Slicer v1.5.1.2 software (
www.slicer.org, MIT Artificial Intelligence Laboratory, Brigham & Women's Hospital Surgical Planning Laboratory, and Harvard Medical School, Massachusetts, United States). Voids were quantified by subtraction of the models before and after root canal obturation was completed. The volume of the voids was measured using the Image J software (National Institutes of Health). Finally, three-dimensional models were generated with the CTAn v.1.14.4 software (Bruker-MicroCT) and visualized in the CTVol v.2.3.1 software (Bruker-MicroCT) (
Fig. 2). After that, the percentage of voids in relation to the volume of the prepared canal was calculated for each tooth at the evaluated levels.
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5

Micro-CT Evaluation of Root Canal Preparation

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After instrumentation, all teeth were rescanned in a micro-CT (Skyscan 1173, Bruker) under the same acquisition and reconstruction parameters. The volume (mm3) and surface area (mm2) at 4 mm (apical canal) and 10 mm (entire canal) from the apical foramen were calculated using Image J 1.50d software (National Institutes of Health, Bethesda, MD). The same software was used to evaluate the amount of unprepared root canal areas (%) by calculating the number of static voxels by the total number of voxels on the canal surface and expressing it as a percentage. CTVol v.2.3.1 software (Bruker, micro- CT) was used to define a color-coded pattern for the canal templates (green for before instrumentation and red for after instrumentaron) (Fig. 1). This enabled comparison of the recorded pre- and postoperative scan canal models. Centering ability was assessed by the center of gravity of the canal (Z-axis) compared to
before and after preparations along the entire canal (10 mm segment).
Representative images show the unprepared areas highlighted in green. Diagram shows the centralization after preparation (red) compared to the centralization of the sound canal (Z-axis-green) along the entire canal (10 mm segment).
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6

High-resolution microCT Analysis of Human Musculoskeletal Tissues

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Human tissues were fixed overnight in 10% formalin and analyzed by high-resolution μCT (Skyscan1172, Skyscan1272, Bruker microCT, Kontich, Belgium) and included the hip joint (the femoral head with ligaments and the acetabular labrum with ligaments), the spinous process with the interspinous ligament, and the supraspinous ligament and/or the ligamentum flavum from both healthy patients and AS patients. The scanner was set at a voltage of 60 kV and a resolution of 9 μm per pixel. Images of perfusion computed tomography (PCT) were used to perform three-dimensional (3D) histomorphometric analyses. The region of interest was defined to cover the whole PCT compartment (the femoral head or acetabular labrum with ligaments, single spinous process or joint spinous process with the interspinous ligament, supraspinous ligament, and/or ligamentum flavum). The images were reconstructed with NRecon v1.6 software (Bioz, Inc., Palo Alto, CA, USA), analyzed by CTAn v1.9 software (Bruker microCT), and visualized using the 3D model visualization software CTVol v2.0 (Bruker microCT).
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7

Femur Microarchitecture Analysis in Klotho Mice

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The mice were sacrificed and We dissected femur specimens of both sides from kl/kl mice and WT mice, all adapted mice were 4-week-old males. Then specimens were fixed overnight in 10% formalin and analyzed by high-resolution µCT (Skyscan1272, Bruker microCT, Kontich, Belgium). There were 24 samples in total, including 12 specimens from kl/kl mice and 12 specimens from WT mice. The scanner was set at a voltage of 60 kV and a resolution of 12 µm per pixel. Images of perfusion computed tomography (PCT) were used to perform three-dimensional (3D) histomorphometric analyses. The region of interest was defined to cover the whole PCT compartment (the femoral head and the femoral shaft). The images were reconstructed with NRecon v1.6 software (Bioz, Inc., CA, USA), analyzed by CTAn v1.9 software (Bruker microCT), and visualized using the 3D model visualization software CTVol v2.0 (Bruker microCT).
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8

Quantitative Evaluation of Calvarial Bone Regeneration

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After fixation in 10% formalin for 5 days, the skulls were scanned with a high-resolution µCT instrument (SkyScan 1076; Bruker, Billerica, MA, USA) to quantitatively evaluate calvarial bone regeneration at the defect site as described previously[18 (link)]. Briefly, the imagery was reconstructed and analyzed using NRecon v1.6.6.0 and CTAn v1.13.2.1 (Bruker), respectively. Three-dimensional model visualization software CTVol v2.0 (Bruker) was used to analyze calvarial bone regeneration. The settings for X-ray source were 70 kVp voltage and 140 mA current, and 0.5-mm-thick aluminum filter was used for beam induration. Pixel size was 18 mm, exposure time was 1475 ms, and rotation step was 0.5°, with a complete rotation through 360°.
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9

Micro-CT Analysis of Implant Osseointegration

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After the time of sacrifice, the left femoral bones with implants (N = 8/group) were scanned using a Bruker SkyScan 1172 micro-CT system (Kontich, Belgium) with a pixel size of 13.56 μm, X-ray energy level of 80 kV and a current of 100 μA. All data were exported to CTAn v1.17 (Bruker micro-CT, Kontich, Belgium) and CTVol v2.0 (Bruker micro-CT, Kontich, Belgium) for evaluation. The volume of interest (VOI) was established at 2 mm below the growth plate, with a height of 1 mm (75 slices) and a ring of 0.3 mm diameter around the implant. Multilevel thresholds from 225–700 was applied to discriminate the bone and calcified cartilage (225–330), dense cortical bone (331–700) and non-mineralized tissue (<225). The outcome variables were the bone volume percent (BV/TV), the mean trabecular number (Tb.N), the mean trabecular thickness (Tb.Th), the mean trabecular separation (Tb.Sp) and the BIC (bone-to-implant contact), which is the percentage of the area of the total implant surface that is covered by bone, according to Choi et al. [43 (link)].
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10

Micro-CT Analysis of Murine Knee Joints

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For all micro-CT analysis, mice knee joints were fixed overnight in 10% formalin at 4°C, and then scanned at a voltage of 55 kVp, a current of 181 μA, and a resolution of 9.0 μm per pixel by high-resolution micro-CT (Bruker MicroCT, Skyscan 1175) (Hu et al., 2020 (link)). We used NRecon image reconstruction software, version 1.6 (Bruker MicroCT), CTAn data-analysis software, version 1.9 (Bruker MicroCT) to reconstruct and analyze the parameters of the tibia subchondral bone. 10 coronal images of the medial suchondral bone comartment were selected and used for 3D reconstruction using CTVol v2.0 (Bruker MicroCT).
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