Osirix dicom viewer

Manufactured by Pixmeo

Sourced in Switzerland, United States

OsiriX DICOM Viewer is a free, open-source, and multi-platform image processing software designed for DICOM (Digital Imaging and Communications in Medicine) image visualization and analysis. It is primarily used for viewing and manipulating medical images, such as those obtained from MRI, CT, and PET scans.

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Lab products found in correlation

Vue pacs, by Carestream (1 mentions) Omnipaque 300 mg ml, by GE Healthcare (1 mentions) Brightspeed, by GE Healthcare (1 mentions) Offline sorter, by Plexon (1 mentions) Alexion tsx 034a, by Toshiba (1 mentions) Omnipaque, by GE Healthcare (1 mentions)

Close spelling variants of this product

OsiriX (197 citations) OsiriX Viewer (5 citations) OsiriX DICOM viewer software (4 citations) OsiriX MD 11.0 DICOM Viewer (3 citations) OsiriX DICOM (2 citations) OsiriX Lite DICOM Viewer (2 citations)

23 protocols using osirix dicom viewer

Vertebral Canal Morphometric Analysis

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The CT images were transferred to a computer for morphometric assessment. Measurements were obtained from CT transverse images using standardized soft tissue window settings (window width WW: 250–450; window level WL: 30–50). All measurements were performed between L1 to L7 at mid-vertebral body level. This segment was chosen due to the scarce morphometric information of components of the vertebral canal at this level in dogs. All image data were imported and recorded into the Osirix^® DICOM viewer (Pixmeo Inc., Version 3.9.4., 32 Bit, Bernex, Switzerland), a software for morphometric analysis. Anatomical parameters were measured at the mid-level of the vertebral body of the lumbar segment (L1–L7). Measurements were taken in millimeters in the axial planes and were collected three times by the same observer. The following anatomical parameters were determined considering the anatomical structures shown in Figure 2:

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cross sectional area of the vertebral canal (mm²);

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cross sectional area of the dural sac (mm²);

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total area of the IVVP (area of the right and left IVVP component) (mm²);

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area of the epidural space: vertebral canal area minus the area occupied by the dural sac (mm²);

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percentage of the IVVP occupying the vertebral canal;

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percentage of the dural sac occupying the vertebral canal;

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percentage of the IVVP within the epidural space;

Ariete V., Barnert N., Gómez M., Mieres M., Pérez B, & Gutierrez J.C. (2021). Morphometrical Study of the Lumbar Segment of the Internal Vertebral Venous Plexus in Dogs: A Contrast CT-Based Study. Animals : an Open Access Journal from MDPI, 11(6), 1502.

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Quantifying Bone Bridging via μCT Imaging

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Maximum intensity projections (MIPs) for each sample were created from the μCT generated DICOM files using OsiriX DICOM Viewer software (Pixmeo SARL, Bernex, Switzerland). Three blinded observers separately graded the MIPs according to a previously published grading scale for the extent of bony bridging^{21 ,22 (link)} and reached a consensus score for each sample. The scale ranges from 0 to 4, with 0 indicating no bone formation in the defect and 4 reflecting boney bridging across the widest point of the defect (Fig. 3).

Piotrowski S.L., Wilson L., Dharmaraj N., Hamze A., Clark A., Tailor R., Hill L.R., Lai S., Kasper F.K, & Young S. (2019). Development and Characterization of a Rabbit Model of Compromised Maxillofacial Wound Healing. Tissue Engineering. Part C, Methods, 25(3), 160-167.

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Morphological Analysis of Salmon Bursa

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The images in Fig. 1A,B were captured from a recently killed fish from Group 2 in a ventral projection. For Fig. 1C, the cloacal region in a fish from Group 3 was cut mediosaggitally, fixed in formalin and photographed laterally. All images were captured using a Nikon D70s Digital single‐lens reflex camera mounted with a Nikon AF Micro‐Nikkor 60 mm f/2.8D objective (Nikon Corporation, Minato, Tokyo, Japan) and an LED Ring flash. To probe the size of the bursa and its exact topography relative to adjacent structures, one recently killed adult male salmon from Group 3 was subjected to computed tomography (CT) scanning in a dorsal position with Omnipaque 300 mg/mL (GE Healthcare, Oslo, Norway) injected into its bursal lumen for contrast. This was done using a four‐detector row CT scanner (BrightSpeed, GE Healthcare, Oslo, Norway), with a slice thickness of 1.25 and a 0.625‐mm overlap and using helical acquisition in bone and soft tissue algorithms. An OsiriX DICOM Viewer (Pixmeo SARL, Bernex, Switzerland) was used for post‐processing and capture of Fig. 1D and Video S1, while CARESTREAM Vue PACS (Carestream Health, Rochester, NY, USA) was used for Fig. 1E,F and Video S2.

Løken O.M., Bjørgen H., Hordvik I, & Koppang E.O. (2019). A teleost structural analogue to the avian bursa of Fabricius. Journal of Anatomy, 236(5), 798-808.

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MRI Angiogram-based Validation of V-segment Traces

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For each subject, an MRI angiogram was obtained prior to V_MHD processing for validation of obtained V_segment traces; MR images were obtained using three-dimensional phase contrast balanced steady-state free precession (bSSFP) sequences without the injection of Gadolinium contrast media, TR: 7, TE: 4, Flip Angle: 20 degrees, 8 mm slice thickness. Image reconstruction and processing was performed using the OsiriX DICOM Viewer (Pixmeo, Bernex, Switzerland). Maximum intensity projections (MIPs) were performed across the patient angiogram at 8 mm intervals, and a thoraco-abdominal trace was obtained from the MRI angiogram. The correlation between V_MHD and the MRA curves was quantified using Spearman’s ranked correlation coefficient in both the abdominal and thoracic cavities.

Gregory T.S., Murrow J.R., Oshinski J.N, & Tse Z.T. (2019). Exploring magnetohydrodynamic voltage distributions in the human body: Preliminary results. PLoS ONE, 14(3), e0213235.

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Aortic and Coronary Calcium Scoring

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Agatston calcium scores of the ascending aorta and coronary arteries were measured from low-dose non-electrocardiograph gated computed tomography (CT) images obtained with PET/CT imaging. Coronary calcium score (CCS) was categorized as low (0–100), moderate (100–400), and extensive (> 400). The OsiriX software was used for the calcium score analysis (OsiriX DICOM Viewer, Pixmeo SARL, Geneve, Switzerland).

Toivonen S., Lehtinen M., Raivio P., Sinisalo J., Loimaala A, & Uusitalo V. (2022). The Presence of Residual Vascular and Adipose Tissue Inflammation on 18F-FDG PET in Patients with Chronic Coronary Artery Disease. Nuclear Medicine and Molecular Imaging, 57(3), 117-125.

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In Vivo Bone Regeneration Quantification

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Non-invasive assessment of in vivo bone regeneration was determined by 52 micron resolution (voxel size 0.00014 mm³) micro-Computed Tomography (μCT) (Imtek MicroCAT II, Siemens, USA) in the Imaging Research Center at the Cincinnati Children's Hospital Medical Center at 8 and 16 weeks post-operatively. μCT images were reconstructed in Osirix DICOM-viewer (Pixmeo, Geneva, Switzerland) with 3D surface rendering (Osirix threshold for bone = 625 pixel). When un-bridged defector ectopic growth was observed, regions of interest (ROI) were drawn around respective boundaries on every tenth image and interpolated to obtain volume renderings of the defect or ectopic growth. Percent bone regeneration was calculated by normalizing the volume of the un-bridged defect ROI by the original defect volume. Bone mineral density of treatment area was calculated from known gray scale standards run with each μCT scan and determined by gray scale analysis in ImageJ (NIH, USA). Bone mineral density of regenerated tissue within the defect area was normalized to the bone mineral density of controls of normal, age-matched bone of the masseteric fossa.

Kowalczewski C.J., Tombyln S., Wasnick D.C., Hughes M.R., Ellenburg M.D., Callahan M.F., Smith T.L., Van Dyke M.E., Burnett L.R, & Saul J.M. (2014). Reduction of ectopic bone growth in critically-sized rat mandible defects by delivery of rhBMP-2 from kerateine biomaterials. Biomaterials, 35(10), 3220-3228.

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Comparison of DICOM Image Viewers

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Two image‐viewers were evaluated in this study: (1) NNT® NewTom viewer (version 3.11β5, Quantitative Radiology, Verona, Italy) on Windows Seven® (Microsoft Corporation, Redmond, USA) Dell Optiplex® 9100 computer with a 1920 × 1080 resolution LCD screen, Dell U2312HM (Dell Computer, Round Rock, USA) and (2) OsiriX DICOM viewer (version 1.2 64‐bit; Pixmeo, Geneva, Switzerland) installed in an iMac OS X (version 10.6.8; Apple Inc., Cupertino, CA) independent workstation (iMac 27‐in. Quad Core 3.4 GHz Intel Core i7) on a 2560 × 1440 resolution LCD screen.

Vazquez L., Srinivasan M., Khouja F., Combescure C, & Carrel J. (2016). Influence of image‐viewers and artifacts on implant length measurements in cone‐beam computed tomography: an in vitro study. Clinical and Experimental Dental Research, 2(1), 44-50.

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Comparing Coronary Stenosis Dimensions

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In order to compare the dimensions of the implanted stenosis with the degree of coronary narrowing visible on angiograms, vessel diameter and minimum lumen diameter were quantified in orthogonal fluoroscopic images using the Osirix DICOM viewer (Pixmeo, Bernex, Switzerland), with the guide catheter as a size reference (n=12). Percent diameter stenosis was evaluated relative to a reference vessel diameter immediately proximal to the implant, as previously described [11 (link)]. A reader (>8 years’ experience in cardiovascular MRI and perfusion imaging and who had no identifying information about the location of coronary implant placement) visually inspected the first-pass perfusion images for perfusion defects (ischemia) and evaluated the LGE images for the presence or absence of myocardial infarction using a commercially available software (Argus, Siemens, Erhlangen, Germany). We visually assessed the cine images for regional wall motion abnormalities and performed quantitative feature-tracking strain analysis (n=8 swine subjects, TomTec, 2D CPA MR). Data are summarized as mean ± standard deviation (SD). Data ranges are included where appropriate. For group comparisons of segmental circumferential strain, we used a two-tailed paired Student’s t-test (MedCalc v19.1, Belgium). A p value of <0.05 was considered significant.

Colbert C.M., Shao J., Hollowed J.J., Currier J.W., Ajijola O.A., Fishbein G.A., Duarte-Vogel S.M., Dharmakumar R., Hu P, & Nguyen K.L. (2020). 3D-Printed Coronary Implants are Effective for Percutaneous Creation of Swine Models with Focal Coronary Stenosis. Journal of cardiovascular translational research, 13(6), 1033-1043.

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Breast Tumor Imaging and Metabolic Assessment

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For a subset of the patients, detailed imaging data were available. A dedicated breast radiologist (CL) assessed according to BIRADS lexicon [10 ] whether pre-treatment MRIs showed the tumor to be either mass-like, or non-mass like. For analysis purposes, these two categories were used. Metabolic activity was assessed using baseline 18F-fluorodeoxyglucose (FDG) positron emission tomography combined with computed tomography (PET/CT) scans. FDG uptake was quantified using maximum standardized uptake values (SUVmax) measured with Osirix DICOM viewer (Pixmeo SARL, Geneva, Swiss).

van Seijen M., Mooyaart A.L., Mulder L., Hoogstraat M., Drukker C.A., Loo C.E., Pouw B., Sonke G.S., Wesseling J, & Lips E.H. (2017). Enrichment of high-grade tumors in breast cancer gene expression studies. Breast Cancer Research and Treatment, 168(2), 327-335.

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Vertebral Bone Density Measurement Protocol

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All CT image data were imported to a PC workstation, and identification of the vertebral body from the 12th thoracic to the 7th lumbar spine was performed in each animal under a constant window (window width, 1000; window level, 200). As shown in Fig. 1, elliptical and manual traces of the region of interest (ROI), which consisted exclusively of the trabecular and cortical bones of the vertebral body, respectively, were drawn using the eFilm viewing software (eFilm Workstation ver. 3.0.1; Merge, USA) and the OsiriX-DICOM viewer (OsiriX 64-bit extension; Pixmeo, Switzerland). For each ROI, the mean Hounsfield units (HU) values were calculated and recorded. To evaluate inter-observer variations, measurement of the ROI values was repeated by three radiologists. To convert the HU values to BMDs, a bone mineral reference CIRS phantom (Computerized Imaging Reference System, USA) was scanned using the same parameters applied when performing scans of the dogs (panel A in Fig. 2). The phantoms contained calibration objects with equivalent densities of 50, 100, and 150 mg/cm³ calcium hydroxyapatite. The mean HU values were converted to BMD (mg/cm³) using a phantom-derived linear regression equation (panel B in Fig. 2) as previously described [5 (link)7 (link)].

Lee D., Lee Y., Choi W., Chang J., Kang J.H., Na K.J, & Chang D.W. (2015). Quantitative CT assessment of bone mineral density in dogs with hyperadrenocorticism. Journal of Veterinary Science, 16(4), 531-542.

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