XStream® HDVR® Product Line

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XStream® HDVR® Product Line

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Summary

 

Fovia understands that there is no one-size-fits all approach for products in the advanced visualization market, and we tailor our offering to meet your needs.  Our High Definition Volume Rendering® software provides the ease-of-integration and quick time-to-market required by OEMs, and gives their customers the quality, performance and flexibility they demand.

 

Customers may choose from several commercial integration options: F.A.S.T.® Cloud SDK, F.A.S.T.® Native SDK, F.A.S.T.® RapidPrint®, F.A.S.T.® Interactive Segmentation.

 

General Information

 

Fovia provides a user-friendly API, custom integration assistance and a comprehensive feature set. We work closely with our OEM customers during every step of the process to customize an imaging environment for their specific needs, markets and customers. We tailor our offering to meet your requirements, whether your company needs an enterprise-wide, multi-facility network solution, a stand-alone workstation or a cloud-based mobile platform.

 

OEM customers may maintain the functionality of their existing product line via Fovia’s integration, and stay in control of their development timeline with bespoke customization and scalability. Customers are welcome to create their own XStream HDVR plug-in or take advantage of our specialty - a deep native integration.

 

The unique high-performance algorithms of High Definition Volume Rendering® make Fovia a world leader in 3D volumetric rendering. OEMs can easily customize market-specific interfaces and enhance their products with the robust feature set provided by XStream HDVR.  Fovia’s software enables advanced diagnostic applications, custom workflows and high performance interactive imaging.

 

High Definition Volume Rendering® (XStream® HDVR®Product Information:

 

We offer a suite of software solutions to meet your company’s unique needs:

 

 F.A.S.T.® Cloud SDK – Zero footprint viewer

• F.A.S.T.® Native SDK – Native integration toolkit

• F.A.S.T.® RapidPrint® – High fidelity 3D printing

F.A.S.T.® Interactive Segmentation – Real-time 3D Segmentation

 

PRODUCT DESCRIPTIONS

 

F.A.S.T. Cloud SDK – Zero Footprint Viewer

 
Fovia’s zero footprint viewer makes XStream HDVR accessible on any web-enabled device, providing anytime, anywhere access to medical, dental, industrial, geo-, bio-, and life science 3D applications. F.A.S.T. Cloud SDK offers an ideal solution for image-enabled, cloud-based networks. Its advanced volume rendering capabilities make it easy for OEMs to create customized cross-platform, zero-footprint web clients.

 

 
F.A.S.T. Native SDK – Native Integration Toolkit

 
Fovia’s core product, F.A.S.T. Native SDK, provides a deep integration into OEM products via a fully customizable toolkit. The SDK allows seamless integration into existing applications, or acts as a building block for new products that need 2D, 3D, 4D or 5D real-time rendering. With universal functionality, F.A.S.T. Native SDK brings its extensive set of features and protocols to any local, enterprise or remote viewing application and includes full integration assistance.

 

 

F.A.S.T. RapidPrint – High Fidelity 3D Printing

 
Fovia’s volume-to-print capabilities provide a crucial tool for companies that need 3D printing from volume data and want the convenience of an integrated solution. Fovia’s 3D printing features can be easily added directly into existing software. F.A.S.T. RapidPrint provides a quick-edit volume printing solution for use in Medical, Dental, Orthopedics, Rapid Prototyping, Institutional Education or Patient Education.

 

 

F.A.S.T. Interactive Segmentation – Real-time 3D Segmentation

 

F.A.S.T. Interactive Segmentation provides dynamic, real-time, interactive 3D segmentation. F.A.S.T. Interactive Segmentation provides a complete and intuitive interactive experience, enabling a user to quickly and easily segment (and modify “on-the-fly” if necessary) anatomic regions of interest. Additionally, F.A.S.T. Interactive Segmentation is designed to complement existing, automatic segmentation algorithms, allowing rapid, real-time “clean-up” of data to meet radiologists’ exacting requirements.