Hui Xiong

Tianjin Polytechnic University, T’ien-ching-shih, Tianjin Shi, China

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Publications (4)3.61 Total impact

  • Jinzhen Liu · Hui Xiong · Ling Lin · Gang Li
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    ABSTRACT: The reconstruction quality in electrical impedance tomography is limited by the current injection amplitude, the injection and measurement patterns, and the measurement accuracy as well as the number and placement of electrodes. This paper dedicates to increase the number of independent voltage measurements by scanning electrode (SE), and design an optimal measurement and stimulation pattern for open electrical impedance tomography (OEIT). Firstly, several measurement patterns are, performed in OEIT, aiming to evaluate the right number of the measurement points for the imaged target in a certain depth. The results indicate that the image quality gets higher with the number of measurement point increased to some extent. Thus, it can guide the optimum design for the electrode system in OEIT. Secondly, through the numerical calculation and salt water tank experiment, in contrast to adjacent current injection pattern, cross-current-injection pattern achieves better reconstruction with higher imaging quality and penetration depth, and is more robust against data noise in deep domain. Lastly, the experiments also indicate that the electrode contact area affects the reconstruction quality and investigation depth. Therefore, OEIT with SE can improve the application in clinic, such as the detection and monitoring of vascular, breast, and pulmonary diseases.
    Medical & Biological Engineering & Computing 03/2015; 53(7). DOI:10.1007/s11517-015-1274-y · 1.73 Impact Factor
  • Jin‐Zhen Liu · Hui Xiong · Gang Li · Ling Lin
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    ABSTRACT: The nonlinear variation regularization algorithm (NVRA) is an effective method to enhance the contrast and robustness of the reconstruction in medical imaging. In order to improve the reconstruction quality the variation regularization is introduced to the nonlinear algorithm based on one component of the magnetic flux density by injecting one current. Firstly, we propose a novel algorithm for magnetic resonance electrical impedance tomography (MREIT) using NVRA, and clarify the implementation of this algorithm. Secondly, we analyze the performance of the proposed nonlinear algorithm and the linear sensitivity method with noisy data in the phantom models. Finally, in the case of 0.36 T low field intensity magnetic resonance scanner, we present the method for reducing the electrode model error, and evaluate the performance of two reconstruction algorithms in the agar gel model. The results indicate that the NVRA is able to improve the reconstruction quality with sharp contrast and more robust to noise in comparison to the sensitivity method. In addition, this study shows that with just one current injection and one component of the magnetic flux density we can obtain a high quality imaging, which promotes the MREIT in clinical application. © 2015 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 25, 68–76, 2015
    International Journal of Imaging Systems and Technology 03/2015; 25(1). DOI:10.1002/ima.22122 · 1.30 Impact Factor
  • Hui XIONG · Xue YANG · Mei ZHOU · Gang LI · Ling LIN
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    ABSTRACT: The present paper uses the relationship between sawtooth wave’s amplitude and time’s linear code to test and analyze a spectrometer. The result shows that the sampling time is associated with the integration time and the sampling interval closely relates with integral time, and the fluctuation range of sampling interval was further explored. This paper provides the reference of the integral time for the analysis focused on spectrum time characteristic, proposes a method to evaluate the dynamic time properties, and contributes to the assessment and application of the dynamic characteristics of the spectrum.
    Guang pu xue yu guang pu fen xi = Guang pu 04/2014; 34(4). DOI:10.3964/j.issn.1000-0593(2014)04-1130-05 · 0.29 Impact Factor
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    ABSTRACT: The technology of visible-infrared (Vis-NIR) spectroscopy for tongue inspection was used for the noninvasive prediction of red blood cell counts (RBC). Reflectance spectra on the tongue tips of 240 volunteers were collected, and the tongue picture was recorded at the same time. Samples were separated into two parts: calibration sample and prediction sample. Spectra were then subjected to a partial least squares regression (PLSR) analysis. The correlation between the data and prediction of HCT yielded calibration samples value of 0.991, and RBC levels of prediction samples predicted by this model from Vis-NIR spectra provided a coefficient of determination in prediction of 0.994 with an average relative error of prediction of 0.81%, and a root mean square error of prediction of 0.472. Experiment results showed that the correlation between tongue and RBC exists, and also demonstrated that the tongue can be used as the measure site for noninvasive prediction of RBC. From the results of prediction model and prediction results we can conclude that reflectance spectroscopy of tongue can be used to predict the RBC noninvasively.
    Guang pu xue yu guang pu fen xi = Guang pu 05/2011; 31(5):1328-31. DOI:10.3964/j.issn.1000-0593(2011)05-1328-04 · 0.29 Impact Factor

Publication Stats

2 Citations
3.61 Total Impact Points


  • 2015
    • Tianjin Polytechnic University
      T’ien-ching-shih, Tianjin Shi, China
  • 2011–2014
    • Tianjin University
      • State Key Laboratory of Precision Measurement Technology and Instruments
      T’ien-ching-shih, Tianjin Shi, China