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High computational demand is known to be a technical hurdle for real-time implementation of advanced methods like synthetic aperture imaging (SAI) and plane wave imaging (PWI) that work with the pre-beamform data of each array element. In this paper, we present the development of a software beamformer for SAI and PWI with real-time parallel processing capacity. Our beamformer design comprises a pipelined...
Ultrasonic tissue motion can be visualized in three steps: the gray scale motion detection, the Unsteady Flow Line Integral Convolution (UFLIC) algorithm to trace the velocity field, and display techniques for both the global motion and the local radial/tangential velocity components. Because of the large amount of data and high computational requirement in UFLIC, it was difficult to meet real-time...
The Compute Unified Device Architecture (CUDA) is a new programming platform making use of the unified shader design of the most current Graphics Processing Units (GPUs) from NVIDIA. In this paper, we apply this revolutionary new technology to implement the automatic time gain compensation (ATGC) for medical ultrasound imaging. The parallel box filtering method and general matrix computation algorithms...
A GPU framework for ultrasound speckle reduction by region growing based on local statistics extracted from the histogram shape is presented. The required image processing is computationally intensive, involving histogram calculation, region growing, box filtering using different sizes of windows, and more. In this paper, we describe the use of a graphics processing unit for implementing image processing...
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