Modular &amp;amp; scalable ultrasound platform with GPU processing

Lewandowski, Marcin; Walczak, Mateusz; Witek, Beata; Kulesza, P.; Sielewicz, K. M.

doi:10.1109/ultsym.2012.0518

Cited by 25 publications

(20 citation statements)

References 4 publications

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“…Worth particular mention are the in-house systems built at the Technical University of Denmark [19,23], the University of Florence [21,24], the Langevin Institute in Paris [35], and the Polish Academy of Sciences [36]. A few commercially available research platforms also allow similar HiFRUS implementations, such as Analogic Ultrasound (Peabody, MA, USA) [37], Verasonics (Kirkland, WA, USA) [22], US4US (Warsaw, Poland), and Cephasonics (Santa Clara, CA, USA).…”

Section: A Synopsis Of High Frame Rate Ultrasound Technologymentioning

confidence: 99%

“…While few clinical ultrasound systems have the capability for HiFRUS imaging, certain research systems allow for customization of the transmit firing sequence of every array channel and the acquisition of channel-domain data for customized algorithmic processing [19][20][21][22][23][24][35][36][37]. In general, HiFRUS imaging studies rigorously report the technical specifics of the experimental methods, such as the array pitch, probe frequency, transmit pulse duration, pulse repetition frequency, steering angles, and spherical source positioning.…”

Section: Standards In Technical Reportingmentioning

confidence: 99%

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Riding the Plane Wave: Considerations for In Vivo Study Designs Employing High Frame Rate Ultrasound

Hughson

2018

Applied Sciences

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Advancements in diagnostic ultrasound have allowed for a rapid expansion of the quantity and quality of non-invasive information that clinical researchers can acquire from cardiovascular physiology. The recent emergence of high frame rate ultrasound (HiFRUS) is the next step in the quantification of complex blood flow behavior, offering angle-independent, high temporal resolution data in normal physiology and clinical cases. While there are various HiFRUS methods that have been tested and validated in simulations and in complex flow phantoms, there is a need to expand the field into more rigorous in vivo testing for clinical relevance. In this tutorial, we briefly outline the major advances in HiFRUS, and discuss practical considerations of participant preparation, experimental design, and human measurement, while also providing an example of how these frameworks can be immediately applied to in vivo research questions. The considerations put forward in this paper aim to set a realistic framework for research labs which use HiFRUS to commence the collection of human data for basic science, as well as for preliminary clinical research questions.

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Section: A Synopsis Of High Frame Rate Ultrasound Technologymentioning

confidence: 99%

Section: Standards In Technical Reportingmentioning

confidence: 99%

Riding the Plane Wave: Considerations for In Vivo Study Designs Employing High Frame Rate Ultrasound

Hughson

2018

Applied Sciences

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“…A real-time implementation of the Synthetic Aperture Focusing Technique (SAFT) imaging methods is a big engineering challenge due to the required extremely high data bandwidth and performance of data processing [5][6][7][8]. Nowadays, only a complex field programmable gate arrays (FPGA) and GPGPUs offer a processing power sufficient to implement such tasks.…”

Section: Introductionmentioning

confidence: 99%

Optimization of real-time ultrasound PCIe data streaming and OpenCL processing for SAFT imaging

Walczak

Lewandowski

Żołek

2013

2013 IEEE International Ultrasonics Symposium (IUS)

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Our goal is to develop a complete ultrasound platform based on real-time SAFT (Synthetic Aperture Focusing Technique) GPU processing. We are planning to integrate all the ultrasound modules and processing resources (GPU) in a single rack enclosure with the PCIe switch fabric backplane. The first developed module (RX64) provides acquisition and streaming of 64 ultrasound channels. We implemented and benchmarked data streaming from the RX64 to the GPU memory and the SAFT image reconstruction on the GPU. A high system performance was achieved using hardware assisted direct memory transfers and pipelined processing workflow. The complete system throughput, including 128 channel data transfer at 16kS per line and low-resolution 256x256 pixel image SAFT reconstruction on a single Nvidia K5000 GPU, reached 450 fps. The obtained results proved the feasibility of the ultrasound real-time imaging system with GPU SAFT processing.

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“…Our goal is to create a low-cost portable ultrasound platform capable of real-time imaging implemented on an embedded GPU. We adopted system architecture from our own versatile research ultrasound platform and scaled it down for a mobile system [4].…”

Section: Introductionmentioning

confidence: 99%

A low-cost 32-channel module with high-speed digital interfaces for portable ultrasound systems

Lewandowski

Sielewicz

Walczak

2012

2012 IEEE International Ultrasonics Symposium

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There is a continuous trend towards small and portable ultrasound systems with multichannel processing. The objective of the work was to develop a modular acquisition and processing platform based on the following architecture principles: limited hardware processing, external high-speed data communication and software based on SAFT processing using embedded graphics processing unit (GPU). The acquisition module connected via PCIe or USB 3.0 interface can stream either raw RF data or demodulated ones. A low-power embedded PC with embedded GPU will implement ultrasound signal processing, as well as control and visualization functions. The performed feasibility study showed that AMD APU G-Series embedded x86 CPU+GPU is capable of real-time SAFT image reconstruction at limited resolution.

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Modular & scalable ultrasound platform with GPU processing

Cited by 25 publications

References 4 publications

Riding the Plane Wave: Considerations for In Vivo Study Designs Employing High Frame Rate Ultrasound

Riding the Plane Wave: Considerations for In Vivo Study Designs Employing High Frame Rate Ultrasound

Optimization of real-time ultrasound PCIe data streaming and OpenCL processing for SAFT imaging

A low-cost 32-channel module with high-speed digital interfaces for portable ultrasound systems

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