Transforming human lives with world class image fidelity and performance
Designers of medical imaging systems play an invaluable role in improving healthcare, leveraging every available technology advantage to ensure that medical practitioners can assess patients’ medical imagery with the highest possible resolution and accuracy. From diagnostic imaging to imaging-assisted medical procedures, the ability to maximize visual clarity and fidelity is vitally important. Simultaneously, designers are under increasing pressure to expand advanced visualization features to lower-end products while reducing overall system costs throughout their portfolios. Design agility is another key consideration, particularly for designers migrating to software-defined architectures that support sophisticated, next generation product features.
AMD solutions focus on the unique data throughput, image transformation, and post-processing requirements that medical imaging applications – including mobile and cart-based ultrasound systems, endoscopy systems and high-end MRI and CT scanners – require.
Next Gen of Medical Imaging
Improving patient care with superior performance, multi-display visualization, and high resolution image fidelity. AMD embedded solutions offer the capabilities necessary to meet medical imaging applications’ requirements through scalable offerings that can help to reduce development and system costs while delivering a versatile and high-performance software-defined solution to support next-generation features.
Minimal image processing requirements
Low resolution recording requirements
Modest data rate and compute
Modest image processing requirements
High data rate and compute
High image processing requirements
High End Imaging
Extreme data rate and compute
High image processing and display requirements
Server class CPU with GPU
The Benefits of GPU Acceleration
All of the medical imaging application modalities highlighted above involve image reconstruction from sound, radio, or X-ray waves. A typical ultrasound imaging pipeline, requires a large amount of signal and image processing. All of this processing is parallelizable and therefore well suited for GPU acceleration. The combination of GPU and CPU can be an ideal fit to process such a pipeline. Even though this pipeline is representative of an ultrasound device, the underlying principles are applicable to other modalities as well. Endoscope, CT, MRI, and X-ray imaging all contain similar levels of signal and image processing, thus making GPU compute an ideal fit for medical imaging applications.
Superior Performance at modest cost
GPU compute – which can address both the need for increased processing power and the need for system cost reduction – can enable dramatic evolutions in algorithm complexity and image quality. GPU processing, using either the integrated GPU in an AMD Embedded Processor or a discrete AMD Embedded Radeon™ GPU, –can significantly impact performance of image processing algorithms relative to CPU-only processing. This increased performance can translate to improved image fidelity, enhanced accuracy, and ultimately more accurate diagnoses for patients. GPU compute can help medical equipment manufacturers deliver superior performance at cost-effective price points and help achieve solid return on investment.
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Medical Imaging Application Brief
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