News | January 07, 2013

Fovia, Blackford Analysis Collaborate to Provide 3-D Registration for Medical OEMs

HDVR and Blackford Fusion save time, improve accuracy

Fovia Medical Inc. Blackford Analysis Ltd. 3-D Registration

January 7, 2013 — Fovia Medical Inc. and Blackford Analysis Ltd. announced plans to deliver compatible SDKs to the medical advanced visualization market.

Blackford Analysis's Blackford Fusion software accelerates the challenging process of image study comparison by enabling radiologists to pinpoint areas of interest in one study and have those areas instantly, automatically and accurately linked to the same points in separate magnetic resonance imaging (MR), computed tomography (CT) or positron emission tomography (PET) scans. Concurrently, Fovia’s scalable, CPU-based, thin-client HDVR software provides critical advanced visualization “on-the-fly” via the cloud, local networks or as an integrated component of existing architectures.

By combining Blackford Fusion and HDVR technologies, a medical original equipment manufacturer can deliver ubiquitous, split-second access to automatically registered datasets, thereby enabling radiologists to spend more time on analysis and decision-making. As volumetric datasets increase in size and complexity, this combined power will become an essential component in every OEM’s offering.

“Fovia is a recognized leader in the advanced visualization field, and we are excited to integrate with their best-in-class volume rendering engine,” said Ben Panter, chief executive officer of Blackford Analysis. “Together our technologies can improve radiology productivity and increase the success rate of patient treatment.”

“We are thrilled to have a partner with complementary, high-performance software that is literally out-of-this world,” said Ken Fineman, chief executive officer of Fovia, who commented on Blackford Analysis’s astrophysics-based algorithms. “Our SDKs work well together, providing immediate benefits for medical vendors, radiologists and most importantly, patients.”

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