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Your search keyword '"Hou, Zuoxun"' showing total 19 results
Start Over Author "Hou, Zuoxun" Publication Year Range Last 10 years
19 results on '"Hou, Zuoxun"'

2. Ultrasound Computed Tomography Reflection Imaging with Coherence-Factor Beamforming for Breast Tumor Early Detection.

Author

Hou, Zuoxun, Yuan, Ruichen, Wang, Zihao, Wei, Xiaorui, Ren, Chujian, Zhou, Jiale, and Qu, Xiaolei

Subjects
*BREAST, *BEAMFORMING, *BREAST tumors, *THREE-dimensional imaging, *BREAST ultrasound, *ULTRASONIC imaging, *MAMMOGRAMS, *DIGITAL mammography
Abstract

Breast cancer is a global health concern, emphasizing the need for early detection. However, current mammography struggles to effectively image dense breasts. Breast ultrasound can be an adjunctive method, but it is highly dependent on operator skill. Ultrasound computed tomography (USCT) reflection imaging provides high-quality 3D images, but often uses delay-and-sum (DAS) beamforming, which limits its image quality. This article proposes the integration of coherence-factor (CF) beamforming into ultrasound computed tomography (USCT) reflection imaging to enhance image quality. CF assesses the focus quality of beamforming by analyzing the signal coherence across different channels, assigning higher weights to high-quality focus points and thereby improving overall image quality. Numerical simulations and phantom experiments using our built USCT prototype were conducted to optimize the imaging parameters and assess and compare the image quality of CF and DAS beamforming. Numerical simulations demonstrated that CF beamforming can significantly enhance image quality. Phantom experiments with our prototype revealed that CF beamforming significantly improves image resolution (from 0.35 mm to 0.14 mm) and increases contrast ratio (from 24.54 dB to 63.28 dB). The integration of CF beamforming into USCT reflection imaging represents a substantial improvement in image quality, offering promise for enhanced breast cancer detection and imaging capabilities. [ABSTRACT FROM AUTHOR]

Published
2024
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13. Design and FPGA implementation of real-time automatic image enhancement algorithm

Author

Pan Zheng, Hou Zuoxun, Li Xin, Tang Qi, and Dong Guowei

Subjects
Piecewise linear function, Parallel processing (DSP implementation), Image quality, Computer science, Histogram, Digital image processing, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Image processing, Field-programmable gate array, Algorithm, Histogram equalization
Abstract

In order to improve image processing quality and boost processing rate, this paper proposes an real-time automatic image enhancement algorithm. It is based on the histogram equalization algorithm and the piecewise linear enhancement algorithm, and it calculate the relationship of the histogram and the piecewise linear function by analyzing the histogram distribution for adaptive image enhancement. Furthermore, the corresponding FPGA processing modules are designed to implement the methods. Especially, the high-performance parallel pipelined technology and inner potential parallel processing ability of the modules are paid more attention to ensure the real-time processing ability of the complete system. The simulations and the experimentations show that the algorithm is based on the design and implementation of FPGA hardware circuit less cost on hardware, high real-time performance, the good processing performance in different sceneries. The algorithm can effectively improve the image quality, and would have wide prospect on imaging processing field.

Published
2016

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