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Ultrasonic elastography is an imaging technique providing information about the relative stiffness of biological tissues. In general, elastography suffers from noise artifacts, which degrade lesion detectability and increase the likelihood of misdiagnosis. This paper proposes a method called transmit- side frequency compounding for elastography (TSFC). Beamforming is modified to transmit frames with...
Abstract-Elastography is a non-invasive method in which stiffness of soft tissue is displayed as strain images to assist in detecting or classifying tumors. External tissue compression causes axial displacements which are subsequently computed and converted to strain. However, in this processing, periodic artifacts often corrupt the image quality severely. This paper presents a 2-D FFT removal algorithm...
The axial- and the lateral- guidance motion tracking are efficient approaches for real-time strain imaging; however, they are suffering from error propagation. This paper introduces a novel multi-direction guidance (MDG) motion tracking algorithm which selects higher quality previous estimations from multi-directions as seed displacement of the next estimated location. Experiment results show that...
A GPU framework for ultrasound color flow imaging (CFI) based on auto-correlation is presented. The parallel CFI processing framework implementation is mainly based on CUDA performance features, such as the memory selection strategy, applicable thread structure and high-throughput bandwidth. Parallel convolution algorithm and multi-channel championship algorithm are proposed. This CFI method achieves...
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...
Ultrasound elastography is the technique of obtaining the tissue relative stiffness information, which plays an important role in early diagnosis. Conventional elastography computes the strain from the gradient of the displacement estimates between gated pre- and post-compression echo signals. Although elastography has been proven to be a potential diagnosis tool for breast/prostate tumor, vascular...
This paper presents a real-time sensor-less ultrasound 3D motion estimation algorithm. The out-of-plane motion of the ultrasound probe could be obtained by the decorrelation of the speckle pattern in ultrasound b-scan frames. The algorithm uses SAD as the indication of decorrelation to obtain the motion of the frame. To improve the accuracy in scans of real-tissue, an adaptive curve correction method...
We first designed two chirp-coded excitation/ compression schemes which were applied to ultrasound elasticity imaging in simulation method using Field II. The simulation results demonstrate that in low echo-signal-to-noise ratio (eSNR) conditions, the performance of chirp-coded pulse for elasticity imaging is much better than the conventional short pulse, and indicate that elastographic signal-to-noise...
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...
In ultrasound strain imaging, random fluctuations of the signal amplitude result in a match only occurred at certain regions from pre- and post-compression window pairs. This produces amplitude modulation (AM) strain noise. In this paper a new suppressing amplitude modulation method called displacement filed correction (DFC) is presented. Both simulation and phantom experiment demonstrate that the...
Blood flow velocity measurement by ultrasonic techniques has proved to be a valuable tool for clinical diagnosis. Cross-correlation technique(CCF) is a classic one among various measurement methods. For most CCF blood flow measurement related papers, RF signal is widely mentioned, without in-phase/quadrature (I/Q) signal. This paper discusses CCF based on I/Q signal instead of traditional RF echoes,...
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...
Ultrasound elastography has been well applied in medical detection as a tool to aid diagnosis. However, in conventional ultrasound elastograms, there are patterned artifacts from non-white estimation errors. In this paper, we investigate spatial angular compounding methods to reduce the errors. The method involves averaging ultrasound angular elastograms around the same region-of-interest but from...
Pulsed Wave (PW) spectrum Doppler ultrasound is a valuable tool for clinical diagnosis for flow velocity distribution in vessels. However, real-time processing of PW spectrum is computationally intensive, involving wall filtering, Fast Fourier Transform (FFT), column filtering and linear averaging. In this paper a very efficient implementation of a PW Doppler spectrum ultrasound using the Compute...
In a standard ultrasound imaging, the radio-frequency (RF) backscattered signals are decimated to get a medical image. The RF signal carries information about the scattering structure. Analysis of the RF signals may get useful clinical information for the tissue characterization. In this paper, the approach that is wavelet packets (WP) decomposition of I/Q ultrasound signals was proposed to gain the...
Ultrasound B-mode imaging is the basic image mode which can offer anatomic information of organs for clinical diagnosis. Because of the massive computation involved in baseband processing from focused radio-frequency (RF) signals followed by envelop detection, compression and scan conversion required for high quality B-mode imaging, existing medical systems always rely on complicated hardware in real...
Backscattered signals contain frequency-dependent information about tissue microstructures, but when using these signals to construct conventional ultrasound B-mode images, the frequency-dependent information will not be utilized. Scatterer size is an important parameter to differentiate diseased tissue from normal. To get the more correct estimation about scatterer size, the more correct assumption...
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