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Osirix md 11.0 dicom viewer

Manufactured by Pixmeo

OsiriX MD 11.0 DICOM Viewer is a software application designed for the visualization and analysis of medical imaging data. It is capable of opening and displaying DICOM (Digital Imaging and Communications in Medicine) files, which are the standard format for medical imaging data. The software provides tools for viewing, manipulating, and analyzing these medical images.

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3 protocols using osirix md 11.0 dicom viewer

1

Quantifying Rifampin Uptake Using PET

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The [11C]rifampin PET data were visualized using Mirada XD 3.6 (Mirada Medical) where VOIs were manually drawn using CT as a guide and applied to the dynamic PET data3 (link),4 (link). For cavities, VOIs were drawn to include only the cavity wall, excluding the air in the cavities. PMOD 4.1 (PMOD Technologies) was used to generate time–activity curves for each VOI, represented as a unit of radioactivity (kBq) per ml. Tissue density (X-ray attenuation value (Hounsfield unit)) obtained by CT for each VOI42 was used to correct the corresponding PET VOIs to represent rifampin measurements per mass of tissue. Whole-blood VOIs drawn in the left heart ventricle were corrected to plasma using the individual hematocrit values from each patient. Images were visualized using OsiriX MD 11.0 DICOM Viewer (Pixmeo SARL) and VivoQuant 4.0 (Invicro) for human and rabbit data, respectively. Heat map overlays were implemented using R software (R Foundation for Statistical Computing).
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2

PET/CT Image Analysis of Pharmacokinetics

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PET/CT images were analyzed using VivoQuant 2020 (Invicro) or PMOD (3.402) for animal and human studies, respectively. In humans, the brain segmentation tool (Hammers N30R83) was used to draw VOIs and OsiriX MD 11.0 DICOM Viewer (Pixmeo SARL) was used to create 3D MIP images. Data for blood were obtained by placing a VOI in the left heart ventricle and then correcting to plasma using individual subject hematocrit values or standard hematocrit47 (link) and red blood cell partition coefficient of pretomanid48 (link) (Table S5). PET data were adjusted for mass using the density of each organ obtained from the CT (Hounsfield units). Data are expressed as %ID/g or standard uptake values (SUV) in animal or human studies, respectively. Heatmap overlays were created using RStudio.
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3

PET Data Visualization and Analysis

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Human PET data were visualized using OsiriX MD 11.0 DICOM Viewer (Pixmeo SARL). VivoQuant 2020 (Invicro) was used for animal data. VOIs were manually drawn using CT as a guide and applied to the PET dataset (44 , 46 (link)).
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