![]() When adding patient records, you can either copy all the information to the database, or just link to it to save disk space. Even though OsiriX for Mac will run on pretty much any hardware, having a multiprocessor machine will produce better results, especially when working in three or more dimensions and using advanced features like 3D tissue rendering. There is even a patient database for keeping track of multiple individuals. I've been using it since the 2.The trial edition, which serves as a base for the certified version, is equipped with everything a medical professional needs to look at scans and interpret them. This is really a 5-star app for physicians with a Mac. Excellent application.Įven novices and laymen can view their data. Pleas tell me, where i can download OsiriX 2. The CD also provides a web page interface to view the images. It came on the CD with the images and works as expected. ![]() Optimized for macOS Mojave Version Join oversubscribers. OsiriX Lite Follow this app Developer website. Subscribe for our newsletter with best Mac offers from MacUpdate.ĭiscover New Mac Apps. OsiriX Lite supports a complete plug-ins architecture that allows you to expand the capabilities of OsiriX Lite for your personal needs! This plug-in architecture gives you access to the powerful Cocoa framework with an easy object-oriented and dynamic language: Objective-C. OsiriX Lite is at the same time a DICOM PACS workstation for medical imaging and an image processing software for medical research radiology and nuclear imagingfunctional imaging, 3D imaging, confocal microscopy and molecular imaging. OsiriX Lite supports bit computing and multithreading for the best performances on the most modern processors. It offers advanced post-processing techniques in 2D and 3D, exclusive innovative technique for 3D and 4D navigation and a complete integration with any PACS. ![]() It fully supports the DICOM standard for an easy integration in your workflow environment and an open platform for development of processing tools. ![]() It is the result of more than 10 years of research and development in digital imaging. All these modes support 4D data and are able to produce image fusion between two different series for example: PET-CT. ![]()
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