作者：
Ampadu O, Jackson;Yong you;Yi Li;Qing Jun Gui;Kai Yin
作者机构：
Medical school, University of South China, Hengyang 421001,China;Medical virtual simulation experiment teaching center, University of South China,Hengyang 421001, Ch
摘要：
BACKGROUND: Fiber tracking with diffusion-weighted MRI has become an essential tool for estimating in vivo brain white matter architecture. Fiber tracking results are sensitive to the choice of processing method and tracking criteria. PURPOSE: To assess the variability for an algorithm in group studies reproducibility is of critical context. However, reproducibility does not assess the validity of the brain connections. Phantom studies provide concrete quantitative comparisons of methods relative to absolute ground truths, yet do no capture variabilities because of in vivo physiological factors. The ISMRM 2017 TraCED challenge was created to fulfill the gap. STUDY TYPE: A systematic review of algorithms and tract reproducibility studies. SUBJECTS: Single healthy volunteers. FIELD STRENGTH/SEQUENCE: 3.0T, two different scanners by the same manufacturer. The multishell acquisition included b-values of 1000, 2000, and 3000 s/mm(2) with 20, 45, and 64 diffusion gradient directions per shell, respectively. ASSESSMENT: Nine international groups submitted 46 tractography algorithm entries each consisting 16 tracts per scan. The algorithms were assessed using intraclass correlation (ICC) and the Dice similarity measure. STATISTICAL TESTS: Containment analysis was performed to assess if the submitted algorithms had containment within tracts of larger volume submissions. This also serves the purpose to detect if spurious submissions had been made. RESULTS: The top five submissions had high ICC and Dice >0.88. Reproducibility was high within the top five submissions when assessed across sessions or across scanners: 0.87-0.97. Containment analysis shows that the top five submissions are contained within larger volume submissions. From the total of 16 tracts as an outcome relatively the number of tracts with high, moderate, and low reproducibility were 8, 4, and 4. DATA CONCLUSION: The different methods clearly result in fundamentally different tract structures at the more conservative specificity choices. Data and challenge infrastructure remain available for continued analysis and provide a platform for comparison. LEVEL OF EVIDENCE: 5 Technical Efficacy Stage: 1 J. Magn. Reson. Imaging 2020;51:234-249.
作者机构：
[Wan Yaping; Tang Sisi] Univ South China, Sch Comp Sci, Hengyang City, Hunan, Peoples R China.
会议名称：
IEEE 5th International Conference on Computer and Communication Systems (ICCCS)
会议时间：
MAY 15-18, 2020
会议地点：
ELECTR NETWORK
会议主办单位：
[Tang Sisi;Wan Yaping] Univ South China, Sch Comp Sci, Hengyang City, Hunan, Peoples R China.
关键词：
observational causality inference;causal and anti causal features;causal discovery in images;object and context feature;meta-learning
摘要：
In the big data era, one of the fundamental tasks is to explore and discover the causal relationship between variables from observation data and images, which will play a key role in various future applications. This paper reveals in datasets of images that has been emerged the "multiple variables causal direction" of object categories. To start with, it was using an approach to high-dimensional data observational causality inference, and this research can detecting the causal direction between random variables through build a classifier. What is more, this research can validly differentiate the characteristics of objects and their contexts by use causal direction classifier in the static picture. Last but not least, the research certify that there presence a relationship in the causal direction and images' objects or their contexts, also presence visible trace which uncover objects' causal dispositions.
会议论文集名称：
IOP Conference Series-Earth and Environmental Science
摘要：
In order to study the waste cathode ray tube glass fine aggregate (particle size < 0.15 mm) on barite concreteperformance, the waste cathode ray tube glass fine aggregate is blended into the barite concrete at 0%, 4%, 6%, 8%, and 10% of the mass of the barite sand quality to conduct experimental research on the related properties of barite concrete. The experimental results show that when the amount of waste cathode ray tube glass fine aggregate is 6%similar to 8%, the prepared barite concrete has the best working performance. The slump expansion reaches 560mmx560mm, and the 28d cube compressive strength is 37.76MPa. The V-box passage time is 17.56s, and barite concrete has the best shielding gamma ray capability.
