Below we have compiled a list of DICOM viewers that we recommend your facility use for viewing MR images. All of the listed DICOM viewers have the ability to send a compatible NeuroQuant MR sequence from their database to our CTXNode (locally installed on your workstation). For instructions on how to install and configure the CTXNode with your DICOM viewer please download our Quick Start Guide.
Osirix Viewer
Horos and OsiriX are the top two medical image viewers for Apple computers. However, the products have different functionalities and work very differently in many respects. If you're looking for an alternative to your medical image viewing software, or are just interested in what's out there, here's what you need to know about the differences between the two.
XNAT.osirixplugin is a plugin for OsiriX or Horos developed by Benjamin Yvernault (b.yvernault@ucl.ac.uk). It allows the user to interact with XNAT database directly from OsiriX/Horos interface. You can download DICOM data, upload ROI, and do quality control on your processing. Processing data are stored on XNAT in a specific assessor that is part of DAX python package: developed at MASILab, Vanderbilt University, USA. You can read more about the assessor: -XNAT-Data-types-Installation .
50-adult 3D-CTA images were studied using OSIRIX DICOM viewer. The measurement points were determined from external auditory meatus 0, 1, 1.5, 2, 2.5, 3, 3.5 and 4-cm anteriorly, perpendicular from orbitomeatal (OM) line. The distance of SF was compared with the one of SS.
The course of SF and its correlation to SS have been identified, and this is also the first study to investigate the relationship of SS and eSF using OSIRIX DICOM viewer. SS is also comparable to CP, therefore it is usable for a simple landmark of eSF.
Osirix 3.3.2-DICOM viewer for Mac OS X was used. Images were viewed using two-dimensional (2D) multi planar reconstruction (MPR) with sagittal view as the center of orientation. Horizontal and vertical lines were adjusted until the standard orbito meatal (OM) plane was observed; it was defined as the plane between the largest lens seen and EAM (Figure 1). Balance between axial, coronal and sagittal view was adjusted by examiner. To demonstrate clearly SS and SF, image brightness was adjusted using the available tool by dragging the mouse around the image. By using the sagittal view as the orientation, blue horizontal line and red vertical line were seen. It was rotatable 360 on its arm, and could be moved vertically or horizontally on its center. The horizontal line was placed along the OM line, and the vertical line was placed perpendicular to OM line just on the EAM.
Patients who underwent the 3D-CTA examination were mostly aneurismal patients (33), followed by infarctions, cerebral arteriovenous malformation, tumors, and subarachnoid hemorrhage (SAH; 6, 4, 4, and 3 patients, respectively). No significant mass effect was found in the series. Patients with obvious widening of SF (caused by age-related atrophy, tumor or SAH) were excluded. 3 SAH patients in our series were minor SAH and they did not cause obvious changes of SF size. All patients' data in a form of DICOM files were easily opened using Osirix DICOM viewer. SS and SF could be viewed in all 50 patients.
The eSF represents the optimal target area on the lateral cerebral surface to expose suitable recipient vessels for STA-MCA bypass surgery, and we have learnt in this study that the simple technique described here has allowed us to identify eSF during surgery based on bone marking using SS. The course of SF along SS in actual patient's images using Osirix DICOM viewer has also been analyzed. We believe our results have added new information to neurosurgical literatures, and it can be easily applied everywhere because of its simplicity and reliability. The use of this landmark in clinical field and how it will give better orientation to operator is our next aim of study.
The Study Retriever is available for mac OS, packaged along with OnePacs Workstation for macOS. The OnePacs Study Retriever for mac OS may be installed with or without the OnePacs Workstation medical imaging viewer.
Our aim was to further develop and improve this fast and automated computerized software, universally available for free use and compatible with most CT scanners, thus enabling better delineation of vascular structures, artifact reduction, and shorter reading times with potential clinical benefits. This computer-based free software will be available as an open source in the next release of OsiriX at the Web site -viewer.com.
where A represents the system matrixincluding under-sampled Fourier transform and coil profiles, x is thereconstructed image, y is the measured k-space data, λ is the regularizationparameter, and W is a redundant Haar wavelet transformation. CS reconstructionparameters were as follows:λ=0.002, with an additional weighting of 5 in thetemporal dimension and number of iterations for a FISTA optimization using atime-averaged staring point=1, 2, 3, 5, 10, 15, 20, 25, 30, 40, 50.The peak enhancement ratio (PER) ofaorta, wash-in slope, PER, initial area under the curve (IAUC) were measuredfrom time intensity curve.Ktrans of the tumor was calculated by Osirix (www.osirix-viewer.com)plug-in software, DCE Tool using population based arterial input function (AIF)method.Root mean square error (RMSE) andstructural similarity (SSIM) between the images with 50 iterations and imageswith other iterations were evaluated as the quantitative image evaluation.
The 3D brain MRI scans of a 20-year-old male subject with MPS I and an age-matched healthy male control were manually traced to obtain a 3D structure of the corpus callosum (CC). The 3D model was printed on a Makerbot Replicator 5X, sterilized ( Figure 1), and could be used for cell culture or in vitro release studies. The de-identified MRI scans were obtained as Digital Imaging and Communications in Medicine (DICOM) files ( Dataset 1 11 ). The CC was traced on the mid-sagittal slice and five adjacent slices in each hemisphere using open source InVesalius 3 ( , RRID: SCR_014693). Alternatively, OsiriX 8.0.1 software ( -viewer.com/, RRID: SCR_013618) may also be used. The software was then used to render the scans into a single .STL file ( Dataset 2 12 ). The 3D model of the CC was loaded into MakerBot Desktop v. 3.6.0.78 ( -desktop/) and printed on a MakerBot Replicator 5X with poly(lactic acid) at a resolution of 0.2 mm, maintaining life-size dimensions. Stratasys post-processing fluid was optionally used to remove any support material. The 3D printed structures were rinsed with a 70% ethanol/water solution and UV-sterilized overnight. The prints were then coated with polylysine (Sigma) for cellular adhesion, by dipping them upside down in a 0.5 mg/mL poly-L-lysine solution for at least 10 minutes. Only the top of the surface was dipped ( Figure 1d), as this was the area of interest where the drug delivery materials would be loaded, but for other applications discussed in the next section, the entire structure can be dipped into 50 mL of the poly-L-lysine solution for complete cell adhesion on the top and bottom. 2ff7e9595c
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