Today’s ultrasound, digital radiography, MRI and CT images are achieving previously impossible diagnostics. Illustrating a full beating cycle of a human heart, using virtual endoscopy to improve cancer detection, examining a fetus in utero in three dimensions from all possible angles and training the next generation of surgeons on the placement of organs and blood vessels — these are just a few of the exciting results of enhanced medical imaging.

Meeting the demands of protecting and enhancing the quality of life, these mirrored images and real-time diagnostics require speed, resolution, reconstruction capability and high bandwidth. Advances in embedded multi-core parallel processing, virtualization and acceleration represent the vigorous forcebehind the unprecedented performance that represents today’s imaging,satisfying a solution-starved industry.

The power of multi-core solutions

Reconstruction algorithms — taking many two-dimensional projections, combining them and registering data among the hundreds of images rendered to yield a three-dimensional data set — require a tremendous amount of computational power. Parallelization of the algorithms allows processing to be performed across multiple cores, yielding dramatic performance improvements. The inherent nature of multi-core technology allows for unprecedented algorithm segmentation and linear performance, yielding up to a 4x or 5x improvement over single-core/single-threaded applications.

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