A PC-based fully-programmable medical ultrasound imaging system using a graphics processing unit

Kim, Seok-Hyun; Sohn, Hak-yeol; Chang, Jin Ho; Song, Tai-kyoung; Yoo, Yangmo

doi:10.1109/ultsym.2010.5935662

Cited by 12 publications

(12 citation statements)

References 5 publications

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“…Elnokrashy et al (2009) described a lowcost system for reconstruction and display of 4D ultrasound data. Similar frameworks were proposed by Kim et al (2010) and Brattain and Howe (2011). Recently, So et al (2011) made a comparison between CPUs and GPUs for ultrasound systems, in terms of power efficiency and cost effectiveness.…”

Section: Ultrasoundmentioning

confidence: 92%

Medical image processing on the GPU – Past, present and future

Eklund

Dufort

Forsberg

et al. 2013

Medical Image Analysis

349

198

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Graphics processing units (GPUs) are used today in a wide range of applications, mainly because they can dramatically accelerate parallel computing, are affordable and energy efficient. In the field of medical imaging, GPUs are in some cases crucial for enabling practical use of computationally demanding algorithms. This review presents the past and present work on GPU accelerated medical image processing, and is meant to serve as an overview and introduction to existing GPU implementations. The review covers GPU acceleration of basic image processing operations (filtering, interpolation, histogram estimation and distance transforms), the most commonly used algorithms in medical imaging (image registration, image segmentation and image denoising) and algorithms that are specific to individual modalities (CT, PET, SPECT, MRI, fMRI, DTI, ultrasound, optical imaging and microscopy). The review ends by highlighting some future possibilities and challenges.

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Section: Ultrasoundmentioning

confidence: 92%

Medical image processing on the GPU – Past, present and future

Eklund

Dufort

Forsberg

et al. 2013

Medical Image Analysis

349

198

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“…In recent years, a dynamic development of parallel processing technology, especially multi-core processors (CPU) and general purpose graphics processing units (GPGPU) enabled migration of hardware based signal processing to more flexible software based signal processing. This trend is clearly visible in literature, where numerous studies are devoted to GPGPU applications in ultrasound signal processing [1][2][3][4]. However, acquisition and communication architecture of the system are equally important.…”

Section: Introductionmentioning

confidence: 98%

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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“…As the integration technology advances, the various types of the hand-held ultrasound (US) imaging devices were proposed for point-of-care applications [1][2][3][4][5][6]. For example, G.-D. Kim et al minimized the system footprint by using a single low-cost FPGA (Spartan-3, Xilinx Inc., San Jose, CA, USA) for the laptop-type portable US imaging system [1].…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, the smart US probe system controllable with the general-purpose devices such as PC, smartphone, or tablet PC have researched in decade to substantially enhance the accessibility and portability of the hand-held US imaging system [3][4][5][6]. However, since the general-purpose devices conventionally provides the limited data transfer rate, data compression method for the raw radio-frequency (RF) data acquired from the US transducer was proposed [7,8].…”

Section: Introductionmentioning

confidence: 99%

A new smart probe system for a tablet PC-based point-of-care ultrasound imaging system: Feasibility study

Lee

Kang

Yeo

et al. 2014

2014 IEEE International Ultrasonics Symposium

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There is a growing interest in a hand-held ultrasound (US) system for a point-of-care diagnosis. In this paper, we present the hand-held smart US probe system, which includes analog and digital front-ends, mid-processor, and interface. In the analog front-end, 16 channels could be implemented using two eight-channel high-voltage pulsers and analog-to-digital converters (ADC). The following digital frontend was implemented using a single low-cost field programmable gate array chip (FPGA). The output data from the digital frontend are transferred to the commercial tablet PC via the USB 3.0 interface. The tablet PC performs the back-end processing and image display on a graphical user interface (GUI). The smart probe system developed can provide the real-time B-mode images up to 22 Hz of frame rate with 7 W of estimated maximum power consumption. The weight and dimension of the developed system are 73 g and 150 x 40 x 10 mm 3 in length, width, and height, respectively. To evaluate the performance of the proposed smart probe system, the phantom and in vivo experiments were conducted.

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A PC-based fully-programmable medical ultrasound imaging system using a graphics processing unit

Cited by 12 publications

References 5 publications

Medical image processing on the GPU – Past, present and future

Medical image processing on the GPU – Past, present and future

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

A new smart probe system for a tablet PC-based point-of-care ultrasound imaging system: Feasibility study

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