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Evaluation of Spinal fusion in Thoracic and Thoracolumbar Spine on Standard X-Rays: A New Grading System for Spinal Interbody fusion

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GLOBAL SPINE JOURNAL 2022年第7期12卷 1481-1494页

作者： Patil, Nirmal D. Ghait, Hussein Abou El Boehm, Christian Boehm, Heinrich Zentralklin Bad Berka Dept Spine Surg Bad Berka Germany Swiss Fed Inst Technol Dept Earth Sci Zurich Switzerland Al Azhar Univ Al Azhar Hosp Dept Spine Surg Cairo Egypt

Study Design: Retrospective evaluation of prospectively collected data. Objective: Analyzing time course and stages of interbody fusion of a uniformly operated cohort, defining a grading system and establishing diagnosis-dependent periods of bone healing. Methods: Sequential lateral radiographs of 238 patients (313 levels) with interbody fusion operated thoracoscopically were analyzed. Results: Evaluation of 1696 radiographs with a mean follow-up of 65.19 months and average numbers of 5.42 (2-18) images per level was performed. Diagnoses were Pyogenic Spondylitis (74), Fracture (96), Ankylosing Spondylitis (38) and Degenerative Disease (105). No case with Grade 2 deteriorated to Grade 5. On average, Grade 4 persisted for 113 days, Grade 3 for 197 days, Grade 2 for 286 days and Grade 1 for 316 days. The first 95% of levels ("Green Zone", <= Grade 2) fused at 1 year, the remaining 4% levels fused between 12 and 17 months ("Yellow Zone") and the last 1% ("Red Zone") fused after 510 days. Conclusion: Sequential lateral radiographs permit evaluation of interbody fusion. Grade 2 is the threshold point for fusion;once accomplished, failure is unlikely. If fusion (Grade 2,1 or 0) is not reached within 510 days, it should be regarded as failed. The 510-day-threshold could reduce the necessity of CT scanning for assessing fusion.

关键词： spinal fusion grading system fusion algorithm fusion time plain radiographs interbody fusion thoracoscopy

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Enhanced Super-Resolution Mapping of Urban Floods Based on the fusion of Support Vector Machine and General Regression Neural Network

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IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2019年第8期16卷 1269-1273页

作者： Li, Linyi Chen, Yun Xu, Tingbao Shi, Kaifang Huang, Chang Liu, Rui Lu, Binbin Meng, Lingkui Wuhan Univ Sch Remote Sensing & Informat Engn Wuhan 430079 Hubei Peoples R China CSIRO Land & Water Canberra ACT 2601 Australia Australian Natl Univ Fenner Sch Environm & Soc Canberra ACT 2601 Australia Southwest Univ Chongqing Engn Res Ctr Remote Sensing Big Data Ap Sch Geog Sci Chongqing 400715 Peoples R China Northwest Univ Coll Urban & Environm Sci Xian 710127 Shaanxi Peoples R China Capital Normal Univ Beijing Lab Water Resource Secur Beijing 100048 Peoples R China

Super-resolution mapping of urban flood (SMUF) is one of the hotspots in remote sensing and urban environment research. In this letter, a new SMUF method based on the fusion of support vector machine and general regression neural network (FSVMGRNN) was proposed to achieve enhanced performance. An SVM-SMUF algorithm was developed and a fusion criterion was formulated. Then, the FSVMGRNN-SMUF algorithm was developed. The results of FSVMGRNN-SMUF were evaluated using Landsat 8 OLI imagery of two representative cities in China. FSVMGRNN-SMUF yielded the most accurate SMUF results among the five SMUF methods according to visual comparisons and quantitative comparisons. The mapping accuracy of FSVMGRNN-SMUF related to the kernel functions was also analyzed and discussed. The results of this letter will help to boost practical applications of median-low resolution remote sensing images in urban flooding mapping, and to strengthen the means for monitoring and assessing urban flooding disasters.

关键词： fusion algorithm general regression neural network (GRNN) super-resolution mapping support vector machine (SVM) urban floods

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Infrared Weak-Small Target Image fusion Based on Contrast and Wavelet Transform

Infrared Weak-Small Target Image Fusion Based on Contrast an...

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1st International Conference on Advanced Information Science and System (AISS)

作者： Zhang, Kai Wan, Jun Wang, Xiaozhu Jiao, Xiaoshuang Northwestern Polytech Univ Sch Astronaut Xian Shaanxi Peoples R China Beijing Aeronaut Technol Res Ctr Beijing Peoples R China Acad Space Informat Syst Xian Shaanxi Peoples R China

ISBN: (纸本)9781450372916

The image details and contour information cannot be fully reflected for the current infrared single-band data. It is difficult for the weak-small target to resist background interference after imaging, so that the image produces a lower signal to noise ratio. Therefore, it is necessary to use the texture difference of different band data to improve the signal-to-noise ratio of the image through the complementary fusion method. In this paper, based on weak-small targets in infrared images under different backgrounds, the paper proposes a fusion method based on contrast and wavelet transform. Firstly, the source images are denoised, and multiscale two-dimensional decomposition are performed to obtain low-frequency component and high-frequency component. On this basis, the high- frequency component adopt the method of maximizing absolute value, and the low-frequency component use the method of weighted averaging. Then the image is reconstructed. Finally, the reconstructed image is fused by gray contrast modulation. The fusion results are compared with many fusion algorithms. The experimental results show that the proposed algorithm can improve the intensity of weak- small targets and easily identify weak-small targets in the image. It solves the background interference problem of weak-small targets in the image.

关键词： Infrared dual-band Weak-small targets Contrast and wavelet transform fusion algorithm

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Sensor fusion: A Review of Methods and Applications 29

Sensor Fusion: A Review of Methods and Applications

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第29届中国控制与决策会议

作者： Man Lok Fung Michael Z.Q.Chen Yong Hua Chen Department of Mechanical Engineering University of Hong Kong

This paper aims to present a brief overview of the development of sensor fusion in various application in recent years, and to understand the challenges and ability of sensor fusion. Various algorithms that are typica... 详细信息

ISBN: (纸本)9781509046584

关键词： Multi-sensor fusion fusion algorithm fusion applications

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Analysis and Comparison of Multi-Source Information fusion Technologies 5

Analysis and Comparison of Multi-Source Information Fusion T...

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5th International Conference on Fuzzy Systems and Data Mining (FSDM)

作者： Li, Yang Zhao, Ming Xu, Mengyao Liu, Yunfei Qian, Yuchen Shanghai Univ Engn Sci Sch Air Transportat Shanghai 201620 Peoples R China

ISBN: (纸本)9781643680194;9781643680187

Multi-source information fusion technologies combine multiple homogeneous or heterogeneous information sources in space dimension or time dimension according to one specific standard, and obtain consistent interpretation or description of the measured object, then improve performance of the information system. According to the level of fusion, the fusion model usually integrates information from three levels including data level, feature level, and decision level. The system architecture used information fusion technology can be generally classified into three kinds, such as centralized fusion, distributed fusion and hybrid fusion architecture. According to the actual problem with the different information source data characteristics, we can separately adopt different level fusion methods or combine some two levels of fusion methods, and obtain better system performance.

关键词： Information fusion data fusion multi-source fusion level fusion structure fusion algorithm

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A New Image fusion Method Using Image Block Segment

A New Image Fusion Method Using Image Block Segment

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3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT)

作者： Zhang Bin Shandong Univ Sci & Technol Coll Informat Sci & Engn Qingdao Peoples R China

ISBN: (纸本)9781424455379

The objective of image fusion is to combine information from different source images of the same scene to achieve a new image which can provide much more visual information than the source images. This paper proposes a new image fusion method using image black segment. According to the contrast of block, the original images are separated into clear part, blurring part and the part between clear part and blurring one. For the clear part and blurring one, the former is selected as the corresponding block of fusion image. The part between clear part and blurring one is fused by the choice of the corresponding pixel based on the contrast. Simulation results show that the method achieved better fusion effect.

关键词： image fusion multi-focus image fusion algorithm wavelet transformation

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fusion Technology of Multi-radar Target Based on VTS 6th

Fusion Technology of Multi-radar Target Based on VTS

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6th International Conference on Communications, Signal Processing, and Systems (ICCSPS)

作者： Liu, Huabin Wu, Zhiqi Dalian Maritime Univ Dalian Peoples R China

ISBN: (纸本)9789811065712;9789811065705

In this paper, an adaptive track fusion algorithm is proposed based on the fusion algorithm combining the optimal weighting and recursive least squares method. Simulation results show that the method can effectively improve the accuracy of target detection in longitude, latitude, speed and heading. The ship tracks are more accurate after multi-source information fusion.

关键词： VTS Radar Single-target Multi-target fusion algorithm

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An Overview and Preparation for Recognition of Emotion from Speech Signal with Multi Modal fusion

An Overview and Preparation for Recognition of Emotion from ...

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2nd International Conference on Computer and Automation Engineering (ICCAE)

作者： Meshram, A. P. Shirbahadurkar, S. D. Kohok, Ashwini Jadhav, Smita Samajs Coll Engn NDMVP E&TC Dept Nasik MS India JSPMs Rajarshi Shahu Coll Engn E&TC Dept Pune MS India Samajs Coll Engn NDMVP Instrumentat Dept Nasik MS India

The goal of this work is to build emotion detection system which utilizes fusion of different timescale features of speech. Conventional spectral and prosody features are used and a new information fusion algorithm wh... 详细信息

ISBN: (纸本)9781424455690

关键词： Emotion Recognition Gaussian mixture model fusion algorithm k-nearest neighborhood

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Collective Perception Messages: New Low Complexity fusion and V2X Connectivity Analysis 94

Collective Perception Messages: New Low Complexity Fusion an...

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94th IEEE Vehicular Technology Conference (VTC-Fall)

作者： Mouawad, Nadia Mannoni, Valerian Univ Grenoble Alpes CEA Leti F-38000 Grenoble France

ISBN: (纸本)9781665413688

Connected vehicles are equipped with sensors that can detect surrounding objects. However, vehicles perception is limited by sensors range or by the presence of other obstacles. Collective perception can improve vehicles perception by allowing them to exchange information about detected obstacles. In this context, vehicles rely on on-board sensors in order to generate Collective Perception Messages (CPM) that are exchanged by means of LTE-V2X connectivity. In order to reveal hidden obstacles and obtain a coherent visualization about the environment, CPM fusion is then crucial. In this work, we propose a novel low complexity fusion algorithm for CPM. Moreover, we evaluate the impact of LTE-V2X connectivity performance, specially in terms of packets loss, on the fusion. Simulation results in a smart junction demonstrate the relevance and efficiency of our algorithm in terms of obstacles detection capabilities.

关键词： Collective Perception Message fusion algorithm Cooperative Collision Avoidance LTE-V2X

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Research on fuzzy model and algorithms for data fusion

Research on fuzzy model and algorithms for data fusion

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International Conference on Machine Learning and Cybernetics

作者： Yang, BH He, P Wang, BL Harbin Inst Technol Sch Astronaut Harbin 150001 Peoples R China

ISBN: (纸本)0780378652

In this paper a fuzzy method for data fusion is proposes. First, the admission function is defined to measure the consistency of the sensors' information. Simultaneously, the fuzzy measure is adopted for measuring the reliability of the sensors group which contributes to the final result. Thus, the final result is the combination of the compatible data provided by the more reliable sensors team. This method not only deal with the conflict between the sensors' information and the transaction information provided by faulty sensor, but also assure the reliability and accuracy of the final fusion result. Finally, the simulation results show the method is satisfactory.

关键词： data fusion fuzzy model fusion algorithm

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