Exciting launch of a new image reconstruction solution for the medical imaging, security, and non-destructive testing markets.

Acceleware Corp., has announced the launch of its AxRecon image reconstruction solution for the medical imaging, security, and non-destructive testing markets. Image Acceleware Corp.reconstruction for computed tomography (CT) Scanners often takes hours of processing time and represents a major barrier to efficiency for many organizations. Acceleware Corp.'s solution reduces the time required to complete this work from hours to minutes to speed up the imaging workflow. AxRecon will be demonstrated at the ECR in Vienna, Austria, booth 435.

"Our entry into the medical and commercial imaging market space represents a significant growth opportunity for Acceleware Corp., and is consistent with Acceleware Corp.'s long-term growth strategy to tackle new markets," said Sean Krakiwsky, CEO of Acceleware Corp.. "The benefits of higher throughput and image quality that are already being realized by early customers of AxRecon(TM) will help us drive adoption of this product within the broader imaging market."

The long processing time required for CT image reconstruction limits throughput and quality for companies, clinicians, and researchers. In order to meet the demands of their workload, these users often sacrifice image quality to save on processing time. AxRecon works with existing cone beam CT scanners to eliminate the bottleneck by significantly speeding up filtered back projection computations. This enables medical and commercial users to accelerate the reconstruction of their data and improve the quality of their images without disrupting their current workflow.

The AxRecon solution combines Acceleware Corp.'s proprietary software acceleration libraries with the massive parallel processing power of NVIDIA(R) Graphic Processing Units (GPUs) to dramatically increase the speed of sophisticated computations. AxRecon seamlessly integrates with existing CT scanners with minimal setup. By accelerating algorithms such as filtered back-projection image reconstruction, clients are able to increase the speed of their operations and quality of their end results, while reducing the energy use and physical footprint of their high performance computing systems.

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