Rongnan Zhao

Binzhou University

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Qinwei Li

Civil Aviation University of China

Ziyu Liu

Chinese Academy of Sciences

Ping Han

Hubei Urban Construction Vocational and Technological College

Zhong Ming

Fudan University

Tingting Kang

Sun Yat-sen University

Shuang Ye

Shanghai Jiao Tong University

Lucheng Zhang

Hohai University

Hongbin Li

Stevens Institute of Technology

Ming Yan

Central South University

Li Wang

Tsinghua University

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Sensors (United States)

201

Chinese Academy of Sciences

University of Electronic Science and Technology of China

Sichuan University

Shanghai Jiao Tong University

Harbin Institute of Technology

Sun Yat-sen University

Peking University

Zhejiang University

Huazhong University of Science and Technology

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Liren Zhou Li Zhu Geng Ji Yi Qin Yang Pan

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10.1109/icemi52946.2021.9679512

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The “Hand as Foot” teaching method in anatomical variants of the hepatic portal vein

Asian Journal of Surgery (2022)

Songsong Fan Rongnan Zhao Xingyuan Zhang Xuefeng Cao

Foot (prosody)

10.1016/j.asjsur.2022.05.048

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Citations (2)

Development of Realistic Numerical Brain Model Based on MRIs for Microwave Brain Stroke Detection

Ping Han Ziyu Liu Qinwei Li Ming Yu Rongnan Zhao

In this paper, a two-dimensional truth-oriented brain model is proposed for imaging simulation of wearable stroke detection devices. Stroke detection based on ultra-wideband microwave imaging is a new detection method, which is portable, fast and safe. Wearable detection equipment is an important development direction of ultra-wideband microwave imaging for stroke. By analyzing the electromagnetic characteristics of the brain tissue at different frequencies, the electromagnetic parameters of the brain tissue were determined, and the real human brain MRI images were used for analysis and modeling. Compared to previous simple brain model, this model can more truly reflect the internal structure of human brain, and provide a more accurate experimental platform for various imaging simulation algorithms. Finally, the delay confocal algorithm was used to reconstruct the brain image. In the imaging results, the bleeding spots with a diameter of 6 mm in the brain is clearly identified.

Microwave Imaging

Brain tissue

Wideband

Human brain

Stroke

10.1109/icemi52946.2021.9679514

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A Portable Microwave Intracranial Hemorrhage Imaging System Based on PSO-MCKD-CEEMDAN Method

IEEE Transactions on Microwave Theory and Techniques (2022)

Qinwei Li Ziyu Liu Yang Zhao Rongnan Zhao Mingyan Fan

A novel signal processing method to directly extract the hemorrhage response signals using the maximum correlation kurtosis deconvolution (MCKD) technique and complete ensemble empirical mode decomposition (CEEMDAN) algorithm is proposed in this article. This method only needs to acquire the raw data measured one time, which saves a lot of time in data acquisition. In emergency cases, a shorter time in detection means a better prognosis and better life for the patients. A portable microwave brain hemorrhage imaging system comprising a portable vector network analyzer (VNA), a small-sized antenna array (30 mm

$\times $

30.5 mm of each antenna), a flexible substrate, simple structure, and wideband (0.5–6 GHz) is established by applying this proposed signal processing method. The preliminary results from the experiments on the head phantom demonstrate the capability and effectiveness of this proposed method. Final results show that the proposed portable microwave imaging system can successfully detect brain hemorrhage with a size of 17 mm in diameter. The robustness of the proposed method is verified by successfully detecting the brain hemorrhage with a size of 20 mm in diameter.

Microwave Imaging

Robustness

10.1109/tmtt.2022.3201376

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A child with hepatic focal nodular hyperplasia: A rare case report

Asian Journal of Surgery (2022)

Rongnan Zhao Chenglong Guo Xingyuan Zhang Lingqun Kong

Focal nodular hyperplasia

10.1016/j.asjsur.2022.04.121

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