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624 results on '"Gu, Xuejun"'

215. A VUV photoionization mass spectrometric study on the OH-initiated photooxidation of isoprene with synchrotron radiation

Author

Pan, Gang, primary, Hu, Changjin, additional, Huang, Mingqiang, additional, Wang, Zhenya, additional, Cheng, Yue, additional, Liu, Zhi, additional, Gu, Xuejun, additional, Zhao, Weixiong, additional, Zhang, Weijun, additional, Chen, Jun, additional, Liu, Fuyi, additional, Shan, Xiaobin, additional, and Sheng, Liusi, additional

Published
2012
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246. A Pilot Evaluation of a 4-Dimensional Cone-Beam Computed Tomographic Scheme Based on Simultaneous Motion Estimation and Image Reconstruction.

Author

Dang, Jun, Gu, Xuejun, Pan, Tinsu, and Wang, Jing

Subjects
*CANCER tomography, *LUNG cancer patients, *IMAGE reconstruction, *CONE beam computed tomography, *PILOT projects, *LUNG cancer diagnosis
Abstract

Purpose To evaluate the performance of a 4-dimensional (4-D) cone-beam computed tomographic (CBCT) reconstruction scheme based on simultaneous motion estimation and image reconstruction (SMEIR) through patient studies. Methods and Materials The SMEIR algorithm contains 2 alternating steps: (1) motion-compensated CBCT reconstruction using projections from all phases to reconstruct a reference phase 4D-CBCT by explicitly considering the motion models between each different phase and (2) estimation of motion models directly from projections by matching the measured projections to the forward projection of the deformed reference phase 4D-CBCT. Four lung cancer patients were scanned for 4 to 6 minutes to obtain approximately 2000 projections for each patient. To evaluate the performance of the SMEIR algorithm on a conventional 1-minute CBCT scan, the number of projections at each phase was reduced by a factor of 5, 8, or 10 for each patient. Then, 4D-CBCTs were reconstructed from the down-sampled projections using Feldkamp-Davis-Kress, total variation (TV) minimization, prior image constrained compressive sensing (PICCS), and SMEIR. Using the 4D-CBCT reconstructed from the fully sampled projections as a reference, the relative error (RE) of reconstructed images, root mean square error (RMSE), and maximum error (MaxE) of estimated tumor positions were analyzed to quantify the performance of the SMEIR algorithm. Results The SMEIR algorithm can achieve results consistent with the reference 4D-CBCT reconstructed with many more projections per phase. With an average of 30 to 40 projections per phase, the MaxE in tumor position detection is less than 1 mm in SMEIR for all 4 patients. Conclusion The results from a limited number of patients show that SMEIR is a promising tool for high-quality 4D-CBCT reconstruction and tumor motion modeling. [ABSTRACT FROM AUTHOR]

Published
2015
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247. Real-time measurements of airborne biologic particles using fluorescent particle counter to evaluate microbial contamination: Results of a comparative study in an operating theater.

Author

Dai, Chunyang, Zhang, Yan, Ma, Xiaoling, Yin, Meiling, Zheng, Haiyang, Gu, Xuejun, Xie, Shaoqing, Jia, Hengmin, Zhang, Liang, and Zhang, Weijun

Abstract

Background Airborne bacterial contamination poses a risk for surgical site infection, and routine surveillance of airborne bacteria is important. Traditional methods for detecting airborne bacteria are time consuming and strenuous. Measurement of biologic particle concentrations using a fluorescent particle counter is a novel method for evaluating air quality. The current study was to determine whether the number of biologic particles detected by the fluorescent particle counter can be used to indicate airborne bacterial counts in operating rooms. Methods The study was performed in an operating theater at a university hospital in Hefei, China. The number of airborne biologic particles every minute was quantified using a fluorescent particle counter. Microbiologic air sampling was performed every 30 minutes using an Andersen air sampler (Pusong Electronic Instruments, Changzhou, China). Correlations between the 2 different methods were analyzed by Pearson correlation coefficients. Results A significant correlation was observed between biologic particle and bacterial counts (Pearson correlation coefficient = 0.76), and the counting results from 2 methods both increased substantially between operations, corresponding with human movements in the operating room. Conclusion Fluorescent particle counters show potential as important tools for monitoring bacterial contamination in operating theatres. [ABSTRACT FROM AUTHOR]

Published
2015
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