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Osirix dicom viewer software

Manufactured by Pixmeo
Sourced in Switzerland

OsiriX DICOM viewer software is a free and open-source application for Mac OS X that allows the visualization and post-processing of DICOM images, the standard format for medical imaging data. The software provides a set of tools for the analysis and interpretation of medical images, including support for multi-modality data, such as CT, MRI, and PET scans.

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4 protocols using osirix dicom viewer software

1

Imaging Protocols for MNB Transplantation

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For imaging, we used the Aquilion 16 Multi-slice CT system (Toshiba Medical Systems K.K., Tochigi, Japan). The imaging was conducted in dynamic CT mode, at a tube voltage of 80 kV, tube current of 150 mA, an imaging rotation speed of 0.5 sec/rotation, and a slice thickness of 0.5 mm. The radiation exposure dose was kept unified at 392.7 mGy. The animals were anesthetized, with the anesthesia maintained with 2.5% isoflurane inhalation on Days 45 and 52 (2.5 weeks and 3.5 weeks after MNB2 transplantation, respectively), and kept in the supine position during imaging.
For contrast CT examinations, each animal received a bolus injection of 0.3 mL iohexol (Omnipaque® 300 Injection, Daiichi Sankyo K.K., Tokyo, Japan) into the tail vein. Images were taken 30 min after administering the contrast agent to allow its accumulation in the MNB.
After reconstitution and reconstruction of the images, they were processed using OsiriX DICOM Viewer software (Pixmeo SARL, Geneva, Switzerland) to assess the morphological characteristics and MNB volume.
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2

Standardized Uptake Value Analysis in PET-MR

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Standardized uptake values (SUV) in various regions of interest (ROI) from PET-MR data were determined using the OsiriX DICOM viewer software package (Pixmeo; Bernex Switzerland). With the exception of gut tissue, 3-dimensional spherical ROIs were drawn on tissues of interest on axial LAVA MR images (water, fat or in-phase only images) prior to overlaying MR-attenuated PET data to decrease potential analysis and ROI gating bias. Gut tissue was gated on coronal PET-MR reconstructions in order to avoid interferences from intraluminal signal. Following ROI placement (e.g., individual lymph nodes, aortic outflow tract for blood pool, liver, etc.) attenuation corrected PET data were superimposed on MR images and SUV max and mean values were calculated for each ROI. For axillary and inguinal lymph node gating, the largest nodes on both the right and left side were included, and SUV values averaged from the primary analyses. Gating was performed blinded to study group. Two- and three-dimensional PET or PET-MR images were generated in OsiriX keeping PET window levels consistent between participants.
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3

Ultrasound Imaging of Skeletal Muscles

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An Aixplorer ultrasonic scanner (SuperSonic Imagine, Aix-en-Provence, France) was used with a 4–15 MHz linear transducer (SL15-4; SuperSonic Imagine) in SWE mode with musculoskeletal pre-set. All biceps, rectus femoris and diaphragm images were performed by two operators: an expert with 4 years of experience in the field of skeletal muscle ultrasound in the ICU and a novice who was not familiar with muscular ultrasound. Both were trained by the SuperSonic Imagine engineer before enrolling the first participant. All acquired images and data were stored and analysed secondarily as recommended by Nijholt et al. using Osirix DICOM Viewer software (Pixmeo, Geneva, Switzerland) [26 (link)].
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4

Robust Cardiac MRI T1 Mapping

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T1 maps were reconstructed offline using a dedicated plugin for the OsiriX DICOM viewer software (Pixmeo, Geneva, Switzerland). For motion correction, the endocardial and epicardial contours were manually defined via polygon regions of interests and carefully realigned throughout the MOLLI relaxometry data. Then, an exponential fitting with a maximum likelihood estimator was used to calculate the T1 maps. The following fit model was used for the magnitude data: | ( / *) | A B exp TI T1 + × -. A Rician noise distribution was assumed because of the magnitude operation. A Look-Locker correction was performed to calculate T1 based on the fit parameters T1*, A, and B. Myocardial T1 relaxation times were extracted from the relaxation maps by using freely available software (Segment, version 1.9, R2783; http://www. segment.heiberg.se). 19 (link) Endocardial and epicardial borders were carefully contoured to exclude epicardial fat, blood pool, and pericardial effusion from analysis. Hematocrit-corrected segmental ECV values were calculated from pre-and postcontrast MOLLI T1 values as previously described. 10 (link)
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