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Inveon research workplace 3

Manufactured by Siemens
Sourced in United States, Germany

The Inveon Research Workplace 3.0 is a preclinical imaging platform designed for small animal research. It integrates multiple imaging modalities, including Positron Emission Tomography (PET), Computed Tomography (CT), and Single-Photon Emission Computed Tomography (SPECT), within a single system. The platform enables researchers to acquire high-quality, multimodal images of small animals for various applications, such as drug development and disease research.

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20 protocols using inveon research workplace 3

1

Micro-CT Analysis of Peri-Implant Bone

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Following the biomechanical testing, another unilateral femur of each animal was prepared for the micro-CT scanning. Micro-CT was performed using an Inveon MM system (Siemens, Munich, Germany). Specimens were located and scanned in whole, with 360° rotation in 360 equiangular steps. Images were acquired at an effective pixel size of 8.99 μm, voltage of 80 kV, current of 500 μA and exposure time of 1500 ms. The images consisted of 1024 slices, with a voxel size of 8.99 μm × 8.99 μm × 8.99 μm. Two-dimensional images were used to construct 3D reconstructions using Inveon Research Workplace 3.0 software (Siemens). After acquiring the 3D images, the peri-implant volume-of-interest of 1 mm was established manually, and the threshold value was adjusted appropriately to distinguish trabecular bone from bone marrow. Inveon Research Workplace 3.0 software (Siemens) was used to automatically compute BV/TV, BMD and the following trabecular bone morphological parameters: Tb.N, Tb.Sp and Tb.Th44 (link)45 (link).
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2

Preclinical Evaluation of 18F-NOTA-LP and 18F-NOTA-iCREKA in Tumor-bearing Mice

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Small-animal PET/CTs were performed at the PET center of Southern Medical University Nanfang Hospital using a PET/CT scanner (Simens Inveon Micro-PET/CT). Tumor-bearing mice (n = 3/group) were intravenously injected with 5.55 MBq of 18F-NOTA-LP or 18F-NOTA-iCREKA under isoflurane anesthesia. A ten-minute static PET scan for each animal was acquired at 30, 60, and 120 min after the injection. 120 min dynamic scans were also obtained for 18F-NOTA-LP and 18F-NOTA-iCREKA (n = 2/group). The 3-dimensional ordered subset expectation maximization (3D-OSEM) algorithm was used for the PET reconstruction, and CT was applied for attenuation correction. Inveon Research Workplace (IRW) 3.0 software (Siemens, Germany) was used to measure the regions of interest (ROIs). The radioactivity concentrations were computed automatically, and the results were reflected by the unit of percent injected dose per gram (%ID/g). The maximum %ID/g of the ROIs was used for statistical analyses. Tumor-to-muscle (T/M) uptake ratios were calculated by dividing the radioactivity uptake in the tumor by the contralateral shoulder muscle.
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3

Quantitative PET Imaging of Gold Nanorod Biodistribution

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The region of interest (ROI) of heart, tumor, liver and spleen were drawn on the reconstructed PET images using Inveon Research Workplace (IRW) 3.0 software (Siemens Preclinical Solution). The tumor ROI was defined in applying a threshold to eliminate tumor necrotic region. The mean radioactivity of 64Cu-AuNR in each ROI was calculated with decay correction. The time activity curves (TAC) were generated by plotting the 64Cu-AuNR uptake as a function of time. The unit of the time axis was in hour. The TAC of the heart (Figure S5), tumor (Figure S6), liver (Figure S7) and spleen (Figure S8) ROIs were generated from the reconstructed PET images for each individual mouse used for each size of AuNR (Figure S3). Then for each ROI, the individual TACs within each group of AuNR size were averaged to have the mean TAC (expressed in mean±SD) for each size of AuNR (Figure 3).
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4

In Vivo Tumor Imaging with 18F-tLyP-1

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MicroPET/CT scan was performed on a SIEMENS Inveon scanner (Siemens, Germany). U87MG tumor bearing mice (n = 5) were intravenously injected with 3.7 MBq (200 μCi) of 18F-tLyP-1. MicroPET/CT images were acquired as 10-min static images at 30, 60, and 120 min after the injection with the mice under isoflurane anesthesia. The images were reconstructed by a 3-dimensional ordered subsets expectation maximum (OSEM) algorithm and CT correction was applied for attenuation correction.
In the PET images, ROIs were measured with the Inveon Research Workplace (IRW) 3.0 software (Siemens, Germany). The ROI was determined by manually superimposing the ellipsoid volume of interest (VOI) to the target tissue. The activity concentrations were determined by the mean pixel intensity within each VOI, and converted to μCi/mL using a calibration constant. Assuming the tissue density of 1 g/mL, the ROI activity was converted to μCi/g and normalized as percent injected dose per gram (%ID/g). The tumor/normal brain ratios were calculated by dividing the ROI activity in tumor by that in the normal brain [40 (link)].
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5

Radiographic and microCT Analysis of Implant Absorption

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Post-operative radiographs in the posteroanterior plane were taken using a mobile X-ray machine and digital cassettes. These images were used to determine radiographic absorption by comparison to radiographs obtained immediately after implantation.
Micro-computed tomography (microCT) was performed for all animals using an Inveon in-vivo microcomputer tomography scanner (Siemens Medical, PA, USA) in order to obtain high resolution images of the implant absorption. The surgical sites were scanned and the raw images reconstructed resulting in effective pixel size of 53.12 µm. Images were examined in the axial, sagittal and coronal planes and 3D models were created using Siemens image analysis software (Inveon Research Workplace 3.0, Siemens Medical, PA, USA).
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6

Dynamic PET Imaging and Kinetic Analysis

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PET data were reconstructed into dynamic data set consisting of 17 image frames of the following durations: 15, 15, 15,15, 30, 30, 30, 30, 60, 60, 60, 120, 120, 300, 300, 300, and 300 s. Each image frame was represented by a matrix with the pixel size of 0.95 mm and a fixed slice thickness of 0.8 mm obtained using a 2-dimensional (2-D) ordered-subset expectation maximization (OSEM2D) protocol featuring 4 iterations. The dynamic PET images were analyzed to obtain numerical kinetic data for multiple manually selected regions of interest (ROIs) drawn liver areas. All subsequent image processing and analysis were performed on non-host workstations using ASIProVM software (Siemens/CTI Concorde Microsystems, Knoxville, TN) running under 32-bit Windows XP and Inveon Research Workplace 3.0 (Siemens Medical Solutions, Inc., Malvern, PA). During raw data histogramming and image reconstruction, the corrections for isotope decay, detectors dead-time, random coincidences, and tissue attenuation were applied.
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7

3D Bone Reconstruction from μCT Imaging

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Tibias were placed in a 17-mm holder and imaged using micro-computed tomography (μCT) (μCT-40; Scanco Medical). The scanned μCT DICOM images were imported into Inveon Research Workplace 3.0 software (Siemens Medical Solutions USA, Inc.) and a 3D-reconstruction model of the bone was built from 750 2D slices (0.8 mm) using standard settings.
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8

Bone Microstructural Analysis using Inveon

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Siemens Inveon Research Workplace 3.0 (Siemens Medical Solutions Inc., Malvern, PA, USA) was used to analyze the following bone micro-structural parameters: Bone fraction volume (bone volume/total volume (BV/TV)), bone surface area/bone volume (BSA/BV), trabecular thickness (Tr.Th.), trabecular number (Tr.N.), trabecular spacing (Tr.Sp.), and trabecular pattern factor (Tb. Pf.).
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9

In Vivo PET Image Analysis

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For image analysis, dynamic PET images were first co-registered with the corresponding CT image for a robust anatomical alignment and then with an averaged RAT MRI template for a rigid registration for the adjustment of standardized volumes of interest. Volumes of interest were placed in the whole brain, CTX, thalamus, STR, and CB with Inveon Research Workplace 3.0 (Siemens Medical Solutions). The [18F]3in vivo uptake was quantified as standardized uptake value (SUV).
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10

Quantifying Calvarial Bone Structure

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The calvarial bone specimens were scanned using an Invest MM Ganstry-Std CT (Siemens, Munich, Germany), at 80 kV and 500 μA. The bone volume/total volume (BV/TV) ratio was calculated using Inveon Research Workplace 3.0 (Siemens).
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