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Po-Hsiang Tsui

Researcher at Chang Gung University

Publications -  160
Citations -  3016

Po-Hsiang Tsui is an academic researcher from Chang Gung University. The author has contributed to research in topics: Nakagami distribution & Ultrasound. The author has an hindex of 27, co-authored 143 publications receiving 2354 citations. Previous affiliations of Po-Hsiang Tsui include Memorial Hospital of South Bend & Yuanpei University.

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Imaging local scatterer concentrations by the Nakagami statistical model.

TL;DR: The findings suggest that the Nakagami image can be combined with the use of the B-mode image simultaneously to visualize the tissue structures and the scatterer properties for a better medical diagnosis.
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In vitro effects of ultrasound with different energies on the conduction properties of neural tissue.

TL;DR: The effect of ultrasound at various energy levels on the conduction properties of neural tissue is explored in this in vitro study and it is shown that the effect of lower energy ultrasound increases both the CV and theCAP amplitude and that the reduction in the CAP amplitude for higher energy ultrasound is associated largely with ultrasonic thermal effects.
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Classification of Benign and Malignant Breast Tumors by 2-D Analysis Based on Contour Description and Scatterer Characterization

TL;DR: A novel method of 2-D analysis based on describing the contour using the B-mode image and the scatterer properties using the Nakagami image is proposed, which may provide useful clues for classifying benign and malignant tumors.
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The effect of transducer characteristics on the estimation of Nakagami paramater as a function of scatterer concentration

TL;DR: The effect of transducer characteristics on the sensitivity of the Nakagami parameter to detect the variation of scatterer concentrations was studied in this paper, where backscattered signals acquired from the scattering medium of different scatterers were calculated using both 5 MHz non-focused and focused transducers.
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Classification of scattering media within benign and malignant breast tumors based on ultrasound texture-feature-based and Nakagami-parameter images.

TL;DR: The study findings suggest that combining B-scan-based texture analysis and the Nakagami parametric image could improve the ability to classify benign and malignant breast tumors.