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Osirix workstation

Manufactured by Pixmeo
Sourced in Switzerland

The Osirix workstation is a specialized computer system designed for medical imaging and visualization. It provides a platform for healthcare professionals to view, analyze, and interact with medical images, such as those generated by CT, MRI, and PET scans. The Osirix workstation offers tools and features to facilitate the interpretation and assessment of medical data.

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7 protocols using osirix workstation

1

Assessing Navigation Accuracy in Spine Surgery

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Navigation error due to working at a level distant from that to which the DRF is affixed, was assessed in 4 human cadavers. Cadavers were placed prone on a standard operating table, and a standard midline posterior exposure performed from C1 to S1. Bone screws were implanted into the superolateral edges of the laminae at each level as internal fiducials, to approximate the entry point of typical pedicle screws. The DRF was clamped at various levels in the cervical/thoracic/lumbar spine, and OTI navigation registered. The tip of a tracked awl was then placed into the head of the bone screws at 0 to 5 levels away from that to which the DRF was affixed. The 3D location of the tool tip as seen by the OTI navigation system was recorded at each point, and compared using image-processing software to the actual position of the center of the bone screw head on postoperative CT imaging. All image processing and measurements were performed using a 64-bit OsiriX workstation (version 10.9.5; PIXMEO SARL, Geneva, Switzerland).
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2

Objective DF Image Quality Assessment

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Objective DF image quality assessment was performed in a blinded fashion on an Osirix workstation (Pixmeo, Bernex, Switzerland) by an interventional radiologist (R.E.S.) with more than 5 years of clinical experience in UAE and corresponding imaging, who did not participate in the UAE procedures. A circular region of interest (ROI) with an area of 3 cm2 was placed on the iliac bone, avoiding gas-filled intestines, and the mean signal intensity and the standard deviation of pixels within the ROI were recorded. A signal-to-noise ratio (SNR) was calculated using the formula
SNR=mean/standard deviation.
In addition, the signal intensity of the guidance wire was assessed by placing an elliptic ROI with an area of 3 cm2 on the wire and recording the minimum signal intensity within the ROI, which corresponds to the wire. A contrast ratio (CR) was calculated with the formula
CR=mean/guidance wire.
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3

Objective Image Quality Assessment for TACE

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Objective DF image quality assessment was performed on an Osirix workstation (Pixmeo, Bernex, Switzerland) by an interventional radiologist (RES) with more than 4 years of clinical experience in liver imaging and TACE, who did not participate in the TACE procedures. For the assessment, a region of interest (ROI) with an area of 3 cm2 was placed in the abdomen, avoiding gas-filled intestines and bones, and the mean signal intensity and the standard deviation in Hounsfield units (HU) were recorded. A signal-to-noise ratio (SNR) was calculated using the formula SNR = mean HU/standard deviation HU. In addition, the signal intensity of the guidance wire in HU was recorded and a contrast ratio (CR) was calculated with the formula CR = mean HU/guidance wire HU.
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4

Objective Image Quality Assessment of TACE

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Objective DF image quality assessment was performed on an Osirix workstation (Pixmeo, Bernex, Switzerland) by an interventional radiologist (RES) with more than 4 years of clinical experience in liver imaging and TACE, who did not participate in the TACE procedures. For the assessment, a region of interest (ROI) with an area of 3 cm2 was placed in the abdomen, avoiding gas-filled intestines and bones, and the mean signal intensity and the standard deviation in Hounsfield units (HU) were recorded. A signal-to-noise ratio (SNR) was calculated using the formula SNR=meanHU/standarddeviationHU. In addition, the signal intensity of the guidance wire in HU was recorded and a contrast ratio (CR) was calculated with the formula CR=meanHU/guidancewireHU.
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5

Venous Thrombosis Assessment via MR-DTI and NC-MRV

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The MR-DTI volumes were reformatted to match the NC-MRV images. An experienced radiologist (DJL) assessed the NC-MRV images using an Osirix workstation (Pixmeo, Berne, CH) to determine the location and length of the venous occlusion (complete or partial, above-knee only). This assessment was performed principally using the subtracted NC-MRV images; however, the arterial images, as well as the unsubtracted bright- and dark-vein images, were also available to aid the diagnosis where needed.
Subsequently, an assessment of the location and length of any high-signal regions on the matching MR-DTI images was performed and these were compared with the NC-MRV images to evaluate to what extent thrombus length and location matched on both techniques. The individual-slice images were evaluated with reference to curved-reformat images, as required where the thrombi curved significantly out of the image plane. Any mismatch in thrombus extent or location was recorded. All discontinuities in high signal T1 regions were noted and the tract lengths were summed over the affected region on the matching NC-MRV.
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6

Shear Wave Elastography of Rectus Femoris

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Shear wave elastography was performed using an Aixplorer ultrasound system (Supersonic Imagine, Aix-en-Provence, France) with ShearWave™ Elastography coupled with a 4–15 MHz linear transducer, as previously described in detail (Bercoff et al., 2004 (link); Tanter et al., 2008 (link); Andonian et al., 2016 (link)). Grayscale ultrasound was used to identify anatomical structures and to determine the location of the rectus femoris. Next, the user was positioned such that a fixed-size square region of interest (ROI) delimiting the elastographic field of view (SWE box), i.e., a ROI, where shear-wave propagation was analyzed within the muscle, was visible. Three successive SWE acquisitions were performed for the rectus femoris with the transducer in a fixed position (Figure 1B). Images were transferred to an OsiriX workstation (Pixmeo, Geneva, Switzerland) for analysis using a dedicated analysis plugin (QBox, 1.0, Supersonic Imaging). To avoid artifacts in the circular ROIs, five ROIs (5-mm diameter) were placed within a given square SWE color map (Figure 1B). As three SWE acquisitions were performed in succession for each rectus femoris, 15 stiffness measurements were available at each measurement time point for each subject. Same two observers making all SWE measurements in different site.
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7

Measuring Rectal Tumor Distance from Anal Verge

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Images were evaluated on an OsiriX Workstation (Version 5.6, Pixmeo Inc., Geneva, Switzerland) by two independent radiologists. Three different measurements (BDM) in a single 2D image were used to evaluate the exact distance from the anal verge to the distal ending of the tumor. All geometric measurements were performed on the T2w sagittal scans. Diffusion-weighted images, DCE scans, and the high-resolution T2w axial scan were used for improved tumor identification. For the first measurement (MRI1), two unbowed lines, one from the anal verge (AV) to the upper ending of the anal canal and the other beginning at the upper ending of the anal canal to the lower border of the tumor, were drawn and both distances were added (Figure 1(a)). In the second measurement (MRI2), one straight line from the anal verge to the lower boarder of the tumor was measured (Figure 1(b)). The third measurement (MRI3) was a curved line beginning at the anal verge and following the course of the rectum wall ending at the lower border of the tumor (Figure 1(c)).
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