急性双侧中线旁丘脑梗死综合征的影像学表现

目的:分析急性双侧中线旁丘脑梗死综合征的影像学表现特点。方法:回顾性分析我院2014年10月2017年1月经临床证实的8例急性双侧中线旁丘脑梗死综合征患者的临床和影像学资料。全部患者均于发病24 h内完成首次颅脑CT检查,5 d内完成首次颅脑MRI检查,3例有MRA检查资料。结果:首次CT检查病灶不明显3例,4例双侧中线旁丘脑可疑或小灶性低密度灶,1例双侧中线旁丘脑明确的较为对称性低密度灶。MRI均显示双侧中线旁丘脑较为对称性分布的蝶形T1WI低或略低、T2WI高或略高信号、FLAIR高或略高信号及DWI上为高信号、ADC低信号,其中以DWI高信号为特征。影像学随访中病灶进展4例。4例病程中可见中脑“V”字型梗死。3例MRA均可见单侧或双侧大脑后动脉及其分支狭窄。结论:影像学检查手段尤其是MRI,对急性双侧中线旁丘脑梗死综合征的早期诊断及鉴别诊断具有重要价值。      

大地电磁资料精细处理和二维反演解释技术研究(五)——利用阻抗张量成像识别大地线性构造

大地线性构造往往与块体或物性的边界、断裂的几何延伸相关联,是地学研究的重要目标构造.在大地电磁法中,传统的方法是通过反演得到的电性结构的差异来解译线性构造,是一种间接分析方法.由于线性构造发育处走向和倾向明显,二维性较其他地方一般会更强,故而在阻抗张量成像分析中,相应的二维有效因子就会比较大,最佳主轴统计分布会更加明显.据此,本文利用大地电磁阻抗张量成像(包括最佳主轴统计成像、构造维性成像)来探测识别大地线性构造.本文首先通过三维理论模型的研究结果来验证这一技术在线性结构探测中的有效性,然后将其应用于郯庐断裂带南段实测剖面的具体分析中,展示了这一技术在线性构造探测中的实用性及其数据处理与分析过程.本文研究表明,大地电磁阻抗张量成像技术可独立于反演为地质解释尤其是线性构造的解释提供诸多参考信息.     

南北地震带地壳结构多参数成像及强震触发机制研究

通过反演由大量的纵、横波地震数据组成的综合数据集,获得了南北地震带地壳的多参数三维精细结构,探讨和分析了南北地震带的高地震活动性和强震频发的原因.成像结果表明,尽管1976年松潘一平武地震(M7.2)与2008年汶川地震(M8.0)以及2013年芦山地震(M7.0)均发生在高速、低泊松比异常区域,并且在其震源的下方均有一低速、高泊松比异常区域.我们认为,上述三个地震的触发与流体侵入导致的地壳形变之间有密切的联系.1955年炉霍地震(M7.4)和1973年康定地震(M7.1)均发生在鲜水河断裂带上,其震源中心区域表现为低速、高泊松比异常,可以解释为下地壳中的流体沿断层面上涌.在震源区的周边区域兼有高速、高泊松比异常,低速、高泊松比异常以及高速、低泊松比异常,可能分别与含流体的岩石、沿断裂带发育的变质岩以及坚硬的克拉通块体对应.流体的侵入不仅能够改变断层面上的应力情况,还能降低岩石骨架的岩石力学强度,进而触发地震.1970年云南通海大地震(M7.1)发生在哀牢山一红河断裂带附近的曲江断裂上,其震源处于高速度、低泊松比异常与低速度、高泊松比异常之间的边界区域,被认为是流体挤压后的应变能积累,最终导致脆性破裂,以至于发生地震.根据本次研究获得的多参数结构图像,结合前人的研究成果,我们认为南北地震带地壳强烈形变与流体侵入是造成该区域地震活动性较高及强震频发的两个主要因素.     

一种固定选图数的实时幸运成像算法

幸运成像技术是一种从大量短曝光图像中选取少量幸运好图进行配准、叠加的高分辨率图像恢复技术,能够有效减小大气湍流对图像质量的影响,但传统的基于中央处理器(Central Processing Unit,CPU)的幸运成像算法难以实现实时化.利用现场可编程门阵列(Field Programmable Gate Array,...     

Multiple cropping intensity in China derived from agro-meteorological observations and MODIS data

Double-and triple-cropping in a year have played a very important role in meeting the rising need for food in China.However,the intensified agricultural practices have significantly altered biogeochemical cycles and soil quality.Understanding and mapping cropping intensity in China′s agricultural systems are therefore necessary to better estimate carbon,nitrogen and water fluxes within agro-ecosystems on the national scale.In this study,we investigated the spatial pattern of crop calendar and multiple cropping rotations in China using phenological records from 394 agro-meteorological stations(AMSs)across China.The results from the analysis of in situ field observations were used to develop a new algorithm that identifies the spatial distribution of multiple cropping in China from moderate resolution imaging spectroradiometer(MODIS)time series data with a 500 m spatial resolution and an 8-day temporal resolution.According to the MODIS-derived multiple cropping distribution in 2002,the proportion of cropland cultivated with multiple crops reached 34%in China.Double-cropping accounted for approximately 94.6%and triple-cropping for 5.4%.The results demonstrat that MODIS EVI(Enhanced Vegetation Index)time series data have the capability and potential to delineate the dynamics of double-and triple-cropping practices.The resultant multiple cropping map could be used to evaluate the impacts of agricultural intensification on biogeochemical cycles.     

微波目标散射特性全要素测量试验

合成孔径雷达SAR(Synthetic Aperture Radar)以其全天时全天候的观测能力在地表目标识别、灾害监测等领域得到了越来越多的重视,高分辨率、全极化等各类先进SAR载荷卫星的发展日新月异.相对而言,微波与地物目标的相互作用机理仍有待深入研究.在可控无电磁干扰的测试环境下开展典型目标微波特性测量实验,可以...     

海上多波多分量地震技术新进展与发展方向

中国海洋石油领域开展了首次海上多波多分量地震试验。试验效果是不错的,主要表现在烃类检测和模糊区成像上。同时充分利用已有资料对方位各向异性进行了初步的研究和探讨。从纵横波剖面的对比和频谱分析结果看,浅层横波的纵向分辨率高于纵波,中深层二者差不多。我国在多波的基础性研究方面还很欠缺,在许多方面还有待加强。     

小口径钻孔窥视仪及其应用

直径为28mm的钻孔窥视仪可以送入锚杆钻孔,其输出的图像可用于孔壁的岩性识别及钻孔表面观察。实测表明,KSY—I型钻孔窥视仪在煤层顶板小孔径钻孔中可用于煤岩识别以及裂隙观察。      

基于MODIS数据的珠江口悬沙扩散形态对风和径流的响应

Cloud-free moderate-resolution imaging spectroradiometer(MODIS) images of the Zhujiang(Pearl) River Estuary(ZRE) taken between 2002 and 2012 are retrieved and used to study the spatial and temporal patterns of suspended sediment concentrations(SSCs) across the estuary under runoff, wind, and tropical storm conditions.Five typical dispersal patterns of suspended sediments in the estuary are defined: Case I shows generally low SSCs under low dynamics; Case Ⅱ shows a river-dominant dispersal pattern of suspended sediments from the outlets,particularly from Modaomen, Jiaomen, Hengmen, and others; Case Ⅲ shows wind-dominant dispersal of high SSCs derived from the west shoal and southwesterly transport under a strong NE wind; Case IV is the combination of relatively large runoff and wind; and Case V is caused by a strong tropical storm with high river discharge and wind, which is characterized by the high SSCs across the entire estuary that are transported eastward by winddriven and buoyancy currents outside the estuary. Runoff is a dominant factor that controls seasonal and annual SSC variations in the ZRE, with the area of high SSCs being largest in the summer and smallest in the spring. The correlation coefficients between the monthly averaged river-suspended sediment discharge and the area of the high SSCs are approximately 0.6. The wind power over the west shoal increases with a wind speed, which induces more sediment resuspension and shows a close relationship between the wind speed and high SSC area.     

Hydrocarbon micro-seepage detection from airborne hyper-spectral images by plant stress spectra based on the PROSPECT model

Hydrocarbon micro-seepage can result in vegetation spectral anomalies. Early detection of spectral anomalies in plants stressed by hydrocarbon micro-seepage could help reveal oil and gas resources. In this study, the origin of plant spectral anomalies affected by hydrocarbon micro-seepage was measured using indoor simulation experiments. We analyzed wheat samples grown in a simulated hydrocarbon micro-seepage environment in a laboratory setting. The leaf mesophyll structure (N) values of plants in oil and gas micro-seepage regions were measured according to the content of measured biochemical parameters and spectra simulated by PROSPECT, a model for extracting hydrocarbon micro-seepage information from hyper-spectral images based on plant stress spectra. Spectral reflectance was simulated with N, chlorophyll content (C_ab), water content (C_w) and dry matter content (C_m). Multivariate regression equations were established using varying gasoline volume as the dependent variable and spectral feature parameters exhibiting a high rate of change as the independent variables. We derived a regression equation with the highest correlation coefficient and applied it to airborne hyper-spectral data (CASI/SASI) in Qingyang Oilfield, where extracted information regarding hydrocarbon micro-seepage was matched with known oil-producing wells.