Overview

Delivering advanced signal processing, high frame rates, and strong AI performance 

Advanced Signal Processing

In medical Ultrasound, the more the channel count, the higher the image resolution and depth—both critical factors in the identification and detection of issues. For these functions, the AMD UltraScale+™ family and AMD Versal™ devices multiply the DSP-per-logic-cell ratio for much higher signal processing capabilities per device. High speed serial transceivers provide a power-efficient and fast interface to JESD204B compatible analog front-end components, significantly reducing the need for parallel IO, and also reducing power consumption.

High Frame Rates and Strong AI Performance

As channel count scaling gets harder, AMD is enabling next-gen Ultrasound design methodologies like Synthetic Aperture (used today in radars) and Plane Wave UltraFast advanced imaging techniques with Versal AI Edge Series and Versal AI Core Series adaptive SoCs. These devices include accelerators like AI Engine arrays to help create much higher quality images at a lower cost, and with better thermal management. These devices also help deliver very high frame-rates and strong AI performance thanks to their tiled VLIW-SIMD highly parallel architecture.

Leadership Compute Density and Performance-per-Watt

With increasing requirements for more Point-of-Care (POC) Ultrasound solutions (as Ultrasound moves more from clinics and hospitals to the field), maintaining performance while being portable and connected is an increasingly difficult challenge. Not only is it important to deliver performance for beamforming, but also for real-time image processing and analytics—all in the most compact size and lowest possible power. The AMD Ultrascale+ Cost-Optimized Portfolio provides industry-leading compute density in the smallest form factor and the best performance-per-watt for POC and portable Ultrasound platforms.

Design Examples

Versal Adaptive SoCs

Next-gen Ultrafast imaging in Ultrasound is a paradigm shift, going from normal sequential acquisition to parallel acquisition of the whole plane, using either spherical or plane waves. This gives customers the ability to do optimally-focused images everywhere in the captured image, deliver extremely high-quality 3D/4D images, and obtain thousands of images per second.

AMD adaptive SoC platforms like the Versal AI Edge and the Versal AI Core device, with their AI Engine-based architectures, are capable of delivering a beamformer running synthetic aperture or planar wave algorithms with 128 active elements and 200 lines of resolution on a single chip, and still obtaining scan rates of several 100 to 1000 frames-per-second on anything from cardiac imaging to abdominal imaging to small-parts.

*TX7332 and AFE5832 are Texas Instruments components

Zynq Ultrascale+ Adaptive SoCs

AMD Zynq-Ultrascale+ SoC technology including the newly introduced ZU1 and new small footprint package offering called ‘inFO’, enables ultra-miniaturization of complex architectures such as parallel beamforming. This SoC technology, combined with customers’ proprietary shared beamforming architecture, allows for the integration of up to 8 parallel beamformers in a handheld device. This architecture places this system on par with high-end laptop and cart-based units, based on pure processing power.

Device Support

Versal AI Core Series

Leadership AI inference with integrated AI Engines that deliver outstanding compute performance.

Zynq UltraScale+ MPSoC

Heterogeneous multiprocessing platform for a broad range of embedded applications.

Case Study

Clarius uses AMD SoCs to Build Handheld Ultrasound Device

Featured Case Study

Clarius

AMD adaptive computing and AI solutions enable HD ultrasound scanning in a handheld design.

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High-Performance and Adaptive Computing in Healthcare

New advances in technology are helping revolutionize the healthcare landscape. Download the eBook to uncover key industry challenges and learn how technology creates new ways to treat and diagnose diseases, power research, and enable doctors to perform surgeries with greater precision.

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Documentation

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