Technology | October 18, 2011

Claron Technology Debuts New Software for Development of Medical Imaging Applications

October 18, 2011 – Claron Technology Inc., a developer of advanced visualization and analysis software for medical images, debuts version 2.0 of Withinsight Framework (WIF), a powerful platform for the acceleration of medical image visualization applications. This next-generation solution provides enhanced features and functionalities that now address the full range of imaging modalities, offer richer user interfaces with multiple modes of interaction and answer specific partner requests for enhancements. 

Highlights of WIF 2.0 include a migration to the C# programming language, delivery of faster and higher quality rendering, registration and segmentation of images and built-in support for cloud-based image viewing. 

 The zero-footprint application can be efficiently controlled using a multi-touch user interface Nil family of applications is a showcase of how WIF 2.0 supports mobile and cloud-based products. 

Commercially introduced in 2008, the WIF platform accelerates development of a diverse range of specialized medical imaging software by facilitating such computer tasks as automation of segmentation, registration and abnormality detection as well as controlling multiple data volumes and clipping and colorizing spatial regions.  The platform is becoming increasingly powerful and versatile as the user and applications base expands.  The number of companies using or developing applications on WIF has doubled in the past two years to more than twelve. 

 The latest WIF release is faster, more robust and supports more than 10,000 functions.  Applications built on the platform have ranged from specialized automated processing engines to clinical applications for analysis of breast magnetic resonance imaging (MRI), lung computed tomography (CT) and ophthalmology.  They also include programs providing therapy guidance, for example, for neurology, ENT and spine.

WIF, which is provided to customers as source code, has been ported from Visual Basic to C# because use of the C# language is much more prevalent in the medical imaging community.  Other new enhancements include expanded support for images of all modalities, expanded segmentation methods, faster elastic registration, faster higher quality volume renderings and richer support for extracting, manipulating and rendering polygonal surfaces. 

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