Bin Yang
Fourth Military Medical University
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Featured researches published by Bin Yang.
PLOS ONE | 2013
Meng Dai; Bing Li; Shijie Hu; Canhua Xu; Bin Yang; Jianbo Li; Feng Fu; Zhou Fei; Xiuzhen Dong
Intracranial bleeding is one of the most severe medical emergencies in neurosurgery. Early detection or diagnosis would largely reduce the rate of disability and mortality, and improve the prognosis of the patients. Electrical Impedance Tomography (EIT) can non-invasively image the internal resistivity distribution within a human body using a ring of external electrodes, and is thus a promising technique to promptly detect the occurrence of intracranial bleedings because blood differs from other brain tissues in resistivity. However, so far there is no experimental study that has determined whether the intracranial resistivity changes in humans could be repeatedly detected and imaged by EIT. Hence, we for the first time attempt to clinically validate this by in vivo imaging the influx and efflux of irrigating fluid (5% dextrose in water, D5W) during the twist-drill drainage operation for the patients with subdural hematoma (SDH). In this study, six patients (four male, two female) with subacute or chronic SDH received the surgical operation in order to evacuate the hematoma around subdural region, and EIT measurements were performed simultaneously on each patient’s head. The results showed that the resistivity significantly increased on the corresponding position of EIT images during the influx of D5W and gradually decreased back to baseline during the efflux. In the quantitative analysis, the average resistivity values demonstrated the similar results and had highly linear correlation (R2 = 0.93±0.06) with the injected D5W volumes, as well as the area of the resistivity gain(R2 = 0.94±0.05). In conclusion, it was clinically validated that intracranial resistivity changes in humans were detectable and quantifiable by the EIT method. After further technical improvements, EIT has the great potential of being a routine neuroimaging tool for early detection of intracranial bleedings.
IEEE Transactions on Biomedical Engineering | 2014
Jianbo Li; Chi Tang; Meng Dai; Geng Liu; Xuetao Shi; Bin Yang; Canhua Xu; Feng Fu; Fusheng You; Meng-Xing Tang; Xiuzhen Dong
Brain electrical impedance tomography (EIT) is an emerging method for monitoring brain injuries. To effectively evaluate brain EIT systems and reconstruction algorithms, we have developed a novel head phantom that features realistic anatomy and spatially varying skull resistivity. The head phantom was created with three layers, representing scalp, skull, and brain tissues. The fabrication process entailed 3-D printing of the anatomical geometry for mold creation followed by casting to ensure high geometrical precision and accuracy of the resistivity distribution. We evaluated the accuracy and stability of the phantom. Results showed that the head phantom achieved high geometric accuracy, accurate skull resistivity values, and good stability over time and in the frequency domain. Experimental impedance reconstructions performed using the head phantom and computer simulations were found to be consistent for the same perturbation object. In conclusion, this new phantom could provide a more accurate test platform for brain EIT research.
Journal of International Medical Research | 2014
Bin Yang; Xuetao Shi; Meng Dai; Canhua Xu; Fushen You; Feng Fu; Ruigang Liu; Xiuzhen Dong
Objective To investigate the possible use of electrical impedance tomography (EIT) in monitoring focal cerebral infarction in a rabbit model. Methods A model of focal cerebral infarction was established in eight New Zealand rabbits using a photochemical method without craniectomy. Focal cerebral infarction was confirmed by histopathological examination. Intracranial impedance variation was measured using 16 electrodes placed in a circle on the scalp. EIT images were obtained using a damped least-squares reconstruction algorithm. The average resistivity value (ARV) of the infarct region on EIT images was calculated to quantify relative resistivity changes. A symmetry index was calculated to evaluate the relative difference in resistivity between the two sides of the cerebrum. Results EIT images and ARV curves showed that impedance changes caused by cerebral infarction increased linearly with irradiation time. A difference in ARV was found between measurements taken before and after infarct induction. Conclusions Focal cerebral infarction can be monitored by EIT in the proposed animal model. The results are sufficiently encouraging that the authors plan to extend this study to humans, after further technical improvements.
Scientific Reports | 2017
Jie Zhang; Bin Yang; Haoting Li; Feng Fu; Xuetao Shi; Xiuzhen Dong; Meng Dai
Phantom experiments are an important step for testing during the development of new hardware or imaging algorithms for head electrical impedance tomography (EIT) studies. However, due to the sophisticated anatomical geometry and complex resistivity distribution of the human head, constructing an accurate phantom for EIT research remains challenging, especially for skull modelling. In this paper, we designed and fabricated a novel head phantom with anatomically realistic geometry and continuously varying skull resistivity distribution based on 3D printing techniques. The skull model was constructed by simultaneously printing the distinct layers inside the skull with resistivity-controllable printing materials. The entire phantom was composed of saline skin, a 3D-printed skull, saline cerebrospinal fluid (CSF) and 3D-printed brain parenchyma. The validation results demonstrated that the resistivity of the phantom was in good agreement with that of human tissue and was stable over time, and the new phantom performed well in EIT imaging. This paper provides a standardized, efficient and reproducible method for the construction of a head phantom for EIT that could be easily adapted to other conditions for manufacturing head phantoms for brain function research, such as transcranial direct current stimulation (TDCS) and electroencephalography (EEG).
Applied Mechanics and Materials | 2012
Chi Tang; An Sheng Ni; Fu Sheng You; Bin Yang; Jianbo Li; Xiu Zhen Dong
In the present study, on the basis of our previous study on the relationship between the resistivity and structure of the live human skull, a 2D simulation model of human skull with inhomogeneous resistivity distribution was successfully obtained from CT image. The results showed that the˰̻̼̼̓ͅ˰̵̹̹̹͉͂̓̓̈́͆̈́˰͇̱̓˰̷̶̹̹̹̳̱̼͉̓̾̾̈́˰̸̷̵̵̹̾̿̽̿̾̿̓ͅ˼˰̴̱̾˰̸̵̈́˰̵̱̼͆̓ͅ˰̶̿˰̻̼̼̓ͅ˰̵̹̹̹͉͂̓̓̈́͆̈́˰̶̿͂˰̸̹̈́̓˰̵̳̹̓̈́̿̾˰̷̵̴̱͂̾˰̶͂̿̽˰̅̇̈̂˰̈́̿˰́̅̀̃̄Ω˾̳̽˾˰ In this study, we explored the method of establishing the head simulation model with real resistivity distribution of human skull, which provided feasibility for future application and should be meaningful for the improvement of the accuracy of the studies on bioelectro-magnetic effects and EIT of the head.
PLOS ONE | 2014
Feng Fu; Bing Li; Meng Dai; Shijie Hu; Xia Li; Canhua Xu; Bing Wang; Bin Yang; Meng-Xing Tang; Xiuzhen Dong; Zhou Fei; Xuetao Shi
Applied Sciences | 2017
Jie Zhang; Bin Yang; Feng Fu; Fusheng You; Xiuzhen Dong; Meng Dai
Archive | 2012
Xiuzhen Dong; Xuetao Shi; Fusheng You; Zhenyu Ji; Wei Li; Xuyang Huo; Feng Fu; Ruigang Liu; Jiaxue Qi; Canhua Xu; Bin Yang
Archive | 2011
Xiuzhen Dong; 董秀珍; Xuyang Huo; 霍旭阳; Fusheng You; 尤富生; Xuetao Shi; 史学涛; Feng Fu; 付峰; Ruigang Liu; 刘锐岗; Zhenyu Ji; 季振宇; Canhua Xu; 徐灿华; Bin Yang; 杨滨; Min Yang; 杨旻; Jiaxue Qi; 漆家学; Wen Zhang; 张雯; Nan Wang; 王楠
Archive | 2012
Xiuzhen Dong; Xuyang Huo; Fusheng You; Xuetao Shi; Feng Fu; Ruigang Liu; Zhenyu Ji; Canhua Xu; Bin Yang