Individual magnetic resonance imaging data sets of the participants were spatially reoriented onto a standard brain data set, defined by the anterior and posterior commissure (AC-PC), lie on a straight horizontal line similar to AC-PC orientation—using PMOD software (version 3.4, PMOD Technologies, Zurich, Switzerland). 5-HTT binding potential (BPND) maps were generated by using the multilinear reference tissue model (MRTM2).42 (link) The raphe dorsalis was used as receptor-rich region. The cerebellar cortex (without vermis) referred as reference region.50 (link) The estimation of k2 occurred individually.
Pmod software version
Manufactured by PMOD Technologies
Sourced in Switzerland
PMOD software (version) is a comprehensive software platform for the analysis of medical images, including PET, SPECT, CT, and MRI data. The software provides a wide range of tools for quantitative analysis, kinetic modeling, and visualization of medical images. PMOD software is designed to support researchers and clinicians in their work with medical imaging data.
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Lab products found in correlation
4 protocols using pmod software version
1
Serotonin Transporter Binding Potential Quantification
2
In Vivo Tumor 18F-FDG PET Imaging
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The mice were prewarmed to reach a body temperature of 37 °C before the intravenous administration of 150 µCi of 18F‐FDG (0.6 × 10−3m ). The body temperature was maintained at 37 °C during the 1 h uptake period. Micro‐PET imaging was performed with the Inveon micro‐PET‐CT scanner (Siemens Inc., United States). 1 h after 18F‐FDG administration, each mouse was scanned for 10 min. During the micro‐PET imaging, the mice were placed in a supine position inside an imaging chamber, inhaled with isoflurane anesthesia. PET/CT images were processed for reconstruction by the ordered subsets expectation maximization 3D algorithm (OSEM3D), and data were analyzed using the Inveon Research Workplace (IRW) software (Siemens) and processed by PMOD software (version 3.4, PMOD Technologies Ltd., Zurich, Switzerland). The maximum standardized uptake value (SUVmax) for tumor was measured by drawing a uniform and spherical volume of interest (VOI) upon the tumor zones. The formula of standardized uptake value (SUV) was: [decay‐corrected activity (kBq) per tissue volume (mL)]/ [injected 18F‐FDG activity (kBq) per body weight (g)].
3
Quantitative Analysis of 18F-FET-PET and MRI
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The MRI scan closest to the included 18F-FET-PET scan were analyzed for this study. Eight normal brain and head structures (caudate nucleus, cavernous sinus, pineal gland, putamen, sigmoid sinuses, superior sagittal sinus, temporal muscles, and thalamus) were investigated in each patient. Clinical pilot tests have shown that these structures have a high physiological 18F-FET uptake; examples are provided in Fig 1 . In our study cohort, four tumors were located in the pineal gland region and three close to the superior sagittal sinus, hence no values were recorded from these structures in these subjects.
Analysis of 18F-FET-PET and MRI data were done using PMOD® software (Version 3.8, PMOD technologies LLC, Zurich, Switzerland), which allows for separate, combined, and fused review of image datasets and a voxel-wise analysis.
Analysis of 18F-FET-PET and MRI data were done using PMOD® software (Version 3.8, PMOD technologies LLC, Zurich, Switzerland), which allows for separate, combined, and fused review of image datasets and a voxel-wise analysis.
4
Regional Brain Parametric Analysis of 64Cu-ATSM PET/MRI
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To obtain regional parametric values from 64Cu-ATSM images of the brain, multiple regions of interest (ROIs) were drawn on individual 3D-T1WI MRI images using PMOD software (version 3.9; PMOD Technologies Ltd., Zurich, Switzerland). An example of ROIs for a single subject is given in Figure 2 . The MRI and PET brain coordinates were in exactly the same space because the images were acquired simultaneously by the PET/MRI scanner. The 3D-T1WI MRI was resliced to correspond with the slice levels of the PET image. To obtain SUV and Kin values for each cortical region, three image slices were used to set ROIs in the bilateral hemispheres. The k3 values were calculated from the individual Ct obtained from dynamic 64Cu-ATSM PET data using the same ROIs, and Cp by IDIF. The NLS method was applied for regional k3 estimation. Statistical parametric mapping (SPM12; Available online. https://www.fil.ion.ucl.ac.uk/spm/ (accessed on 26 April 2022), Wellcome Trust Centre for Neuroimaging, London, UK) was used to observe the regional differences between SUV and Kin images, as well as differences between groups for each image.
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