Anisotropy of Trabecular Bone from Ultra-Distal Radius Digital X-Ray Imaging: Effects on Bone Mineral Density and Age

Background: When applied to trabecular bone X-ray images, the anisotropic properties of trabeculae located at ultra-distal radius were investigated by using the trabecular bone scores (TBS) calculated along directions parallel and perpendicular to the forearm. Methodology: Data from more than two hundred subjects were studied retrospectively. A DXA (GE Lunar Prodigy) scan of the forearm was performed on each subject to measure the bone mineral density (BMD) value at the location of ultra-distal radius, and an X-ray digital image of the same forearm was taken on the same day. The values of trabecular bone score along the direction perpendicular to the forearm, TBSx, and along the direction parallel to the forearm, TBSy, were calculated respectively. The statistics of TBSx and TBSy were calculated, and the anisotropy of the trabecular bone, which was defined as the ratio of TBSy to TBSx and changed with subjects’ BMD and age, was reported and analyzed. Results: The results show that the correlation coefficient between TBSx and TBSy was 0.72 (p BMD and age was reported. The results showed that decreased trabecular bone anisotropy was associated with deceased BMD and increased age in the subject group. Conclusions: This study shows that decreased trabecular bone anisotropy was associated with decreased BMD and increased age.

Application Strategies of Spatial Refinement Design in Ancient Cities Supported by Digital Te-Zhaoyu Ancient City in Qixian County as an Example

Digital technology provides a method of quantitative investigation and data analysis for contemporary landscape spatial analysis,and related research is moving from image recognition to digital algorithmic analysis,providing a more scientific and macroscopic way of research.The key to refinement design is to refine the spatial design process and the spatial improvement strategy system.Taking the ancient city of Zhaoyu in Qixian County,Shanxi Province as an example,(1)based on obtaining the integrated data of the ancient city through the drone tilt photography,the style and landscape of the ancient city are modeled;(2)the point cloud data with spatial information is imported into the point cloud analysis platform and the data analysis is carried out from the overall macroscopic style of the ancient city to the refinement level,which results in the formation of a more intuitive landscape design scheme,thus improving the precision and practicability of the landscape design;(3)Based on spatial big data,it starts from the spatial aggregation level,spatial distribution characteristics and other evaluation index system to achieve the refinement analysis of the site.Digital technology and methods are used throughout the process to explore the refined design path.

Full-field mapping of internal strain distribution in red sandstone specimen under compression using digital volumetric speckle photography and X-ray computed tomography

It is always desirable to know the interior deformation pattern when a rock is subjected to mechanicalload. Few experimental techniques exist that can represent full-field three-dimensional （3D） straindistribution inside a rock specimen. And yet it is crucial that this information is available for fully understandingthe failure mechanism of rocks or other geomaterials. In this study, by using the newlydeveloped digital volumetric speckle photography （DVSP） technique in conjunction with X-ray computedtomography （CT） and taking advantage of natural 3D speckles formed inside the rock due to materialimpurities and voids, we can probe the interior of a rock to map its deformation pattern under load andshed light on its failure mechanism. We apply this technique to the analysis of a red sandstone specimenunder increasing uniaxial compressive load applied incrementally. The full-field 3D displacement fieldsare obtained in the specimen as a function of the load, from which both the volumetric and the deviatoricstrain fields are calculated. Strain localization zones which lead to the eventual failure of the rock areidentified. The results indicate that both shear and tension are contributing factors to the failuremechanism. 2015 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences. Production and hosting byElsevier B.V. All rights reserved.

ValueofDigitalX—RayPhotographyinDiagnosisofCongenitalHeartDisease

目的探讨数字化X线摄影在先天性心脏病诊断中的应用价值。方法收集我院2009-01-01—10-31经数字化X线摄影检查阳性并经临床随访或手术证实的先天性心脏病患者97例,对其临床及影像学资料进行回顾性分析。结果 97例患者中,房间隔缺损46例（47.4%）,动脉导管未闭17例（17.5%）,室间隔缺损13例（13.4%）,法洛四联症5例（5.2%）,肺动脉瓣狭窄3例（3.1%）,镜面右位心4例（4.1%）,右位主动脉弓7例（7.2%）,其他复杂畸形2例（2.1%）。X线表现为：肺血增多、肺血减少及心影形态失常。结论数字化X线摄影准备简单、安全、快捷,禁忌证少,整体感强,同时还是术后随访的重要检查手段,目前仍然能够为先天性心脏病的诊断提供独特和有价值的信息。

A Model for Estimating Total Forest Coverage with Ground-Based Digital Photography

Vegetation fractional coverage (VFC) is one of the key indicators of vegetation distribution. In the work a measurement-based model was developed to derive total forest VFC (TG) as well as the VFC of trees (T) and shrub-grasses (G) separately in a subtropical forest area in Nanjing, China. Both upward and downward photographs were taken with a digital camera in 72 quadrats (10 m × 10 m each). Fifteen models were established and validated. Models jointly using both T and G performed better than those using the T and G separately. The best model, TG = T + G- 1.134 × T × G- 0.025 (R2 = 0.9115, P < 0.01, root mean squared error = 0.0789), is recommended for application. This model provides a good way to obtain total forest VFC values through taking tree and shrub-grass photos on ground below tree canopy rather than above tree canopy.

Evaluating the impact of sampling schemes on leaf area index measurements from digital hemispherical photography in Larix principis-rupprechtii forest plots

Background:Digital hemispherical photography(DHP)is widely used to estimate the leaf area index(LAI)of forest plots due to its advantages of high efficiency and low cost.A crucial step in the LAI estimation of forest plots via DHP is choosing a sampling scheme.However,various sampling schemes involving DHP have been used for the LAI estimation of forest plots.To date,the impact of sampling schemes on LAI estimation from DHP has not been comprehensively investigated.Methods:In this study,13 commonly used sampling schemes which belong to five sampling types(i.e.dispersed,square,cross,transect and circle)were adopted in the LAI estimation of five Larix principis-rupprechtii plots(25m×25 m).An additional sampling scheme(with a sample size of 89)was generated on the basis of all the sample points of the 13 sampling schemes.Three typical inversion models and four canopy element clumping index(Ωe)algorithms were involved in the LAI estimation.The impacts of the sampling schemes on four variables,including gap fraction,Ωe,effective plant area index(PAIe)and LAI estimation from DHP were analysed.The LAI estimates obtained with different sampling schemes were then compared with those obtained from litter collection measurements.Results:Large differences were observed for all four variable estimates(i.e.gap fraction,Ωe,PAIe and LAI)under different sampling schemes.The differences in impact of sampling schemes on LAI estimation were not obvious for the three inversion models,if the fourΩe algorithms,except for the traditional gap-size analysis algorithm were adopted in the estimation.The accuracy of LAI estimation was not always improved with an increase in sample size.Moreover,results indicated that with the appropriate inversion model,Ωe algorithm and sampling scheme,the maximum estimation error of DHP-estimated LAI at elementary sampling unit can be less than 20%,which is required by the global climate observing system,except in forest plots with extremely large LAI values(~>6.0).However,obtaining an LAI from DHP with an estimation error lower than 5%is impossible regardless of which combination of inversion model,Ωe algorithm and sampling scheme is used.Conclusion:The LAI estimation of L.principis-rupprechtii forests from DHP was largely affected by the sampling schemes adopted in the estimation.Thus,the sampling scheme should be seriously considered in the LAI estimation.One square and two transect sampling schemes(with sample sizes ranging from 3 to 9)were recommended to be used to estimate the LAI of L.principis-rupprechtii forests with the smallest mean relative error(MRE).By contrast,three cross and one dispersed sampling schemes were identified to provide LAI estimates with relatively large MREs.

Rapid digitalization and panoramic evaluation of weld X-ray film

The computer evaluation of weld X-ray film is an attractive technique for weld seam NDT （ nondestructive testing）. To achieve this target, digitalization of film is the first step and automatic defect identification is another key technique. In this paper, a weld X-ray film digitalizing system has been established with linear array CCD and highlight LED light source. Its space resolution can reach 0. 04 mm/pixel and scanning speed can reach 100 mm/s for an industrial film. The transfer function curves of the system have been measured and the results indicate that its image gray resolution can reach 88 G/D at 4. 5D, and its dynamic range can be wider than 2. OD. In order to facilitate the evaluation of large welded structure, a panoramic evaluation algorithm is developed also. The algorithm includes image matching, image fusion and panoramic evaluation of the long linked film image.

Application of X-ray digital tomosynthesis in knee joint trauma examination

Objective: To explore the clinical value of X-ray digital tomosynthesis(DTS)in the diagnosis of knee joint fractures. Methods: A total of 28 cases of thoracic trauma, X-ray film cannot be clearly diagnosed or can confirm the diagnosis but the need for further identification of forensic diagnosis of cases of DTS scan and three-dimensional reconstruction in order to control the study. Results: 1. The reconstructed images after DTS scanning showed that the knee joint fractures were clearly diagnosed, and the detection rate of 28 knee joint fractures was 92.86%. 2. DTS scanning could clearly detect the fresh knee joint fracture's fracture line, corresponding line and broken bones. For the old fracture, DTS scanning could clearly show the condition of the fracture end's healing. Conclusions: The technique is of great value in the diagnosis of knee joint fracture, especially in the examination of complex structure, thick body and review of internal fixation after fracture.

Imaging Analysis of Trabecular Bone Texture Based on the Initial Slope of Variogram of Ultra-Distal Radius Digital X-Ray Imaging: Effects on Bone Mineral Density and Age

Background: When applied to trabecular bone X-ray images, a method for analyzing trabecular bone texture based on the initial slope of variogram (ISV) was used to assess the trabecular bone health. Methodology: Data from more than two hundred subjects were retrospectively studied. For each subject, a DXA (GE Lunar Prodigy) scan of the forearm was performed, and bone mineral density (BMD) value was measured at the location of ultra-distal radius, X-ray digital image of the same forearm was taken on the same day, and ISV value over the same location of ultra-distal radius was calculated. Pearson’s correlation coefficients were calculated to examine the correlation between BMD and ISV of the trabecular bones located at the same ultra-distal radius. ISV values changed with subjects’ age were also reported. Results: The results show that ISV value was highly correlated with the DXA-measured BMD of the same trabecular bone located at the ultra-distal radius. The correlation coefficient between ISV and BMD with the 95% confident was 0.79 ± 0.09. They also demonstrated that the age-related changes in trabecular bone health and differentiated age patterns in males and females, respectively. The results showed that the decrease in BMD was accompanied by a decrease in the initial slope of variogram (ISV). Conclusions: This study suggests that ISV might be used to quantitatively evaluate trabecular health for osteoporosis and bone disease diagnosis.

Tracking the phase transformation and microstructural evolution of Sn anode using operando synchrotron X-ray energy-dispersive diffraction and X-ray tomography

Tin(Sn)holds great promise as an anode material for next-generation lithium(Li)ion batteries but suffers from massive volume change and poor cycling performance.To clarify the dynamic chemical and microstructural evolution of Sn anode during lithiation and delithiation,synchrotron X-ray energydispersive diffraction and X-ray tomography are simultaneously employed during Li/Sn cell operation.The intermediate Li-Sn alloy phases during de/lithiation are identified,and their dynamic phase transformation is unraveled which is further correlated with the volume variation of the Sn at particle-and electrode-level.Moreover,we find that the Sn particle expansion/shrinkage induced particle displacement is anisotropic:the displacement perpendicular to the electrode surface(z-axis)is more pronounced compared to the directions(x-and y-axis)along the electrode surface.This anisotropic particle displacement leads to an anisotropic volume variation at the electrode level and eventually generates a net electrode expansion towards the separator after cycling,which could be one of the root causes of mechanical detachment and delamination of electrodes during long-term operation.The unraveled chemical evolution of Li-Sn and deep insights into the microstructural evolution of Sn anode provided here could guide future design and engineering of Sn and other alloy anodes for high energy density Li-and Na-ion batteries.

Head dual energy-computed tomography angiography versus neuro-digital subtraction angiography

Dual-energy X-ray absorptiometry provides two modes of head computed tomography （CT） angiography scanning： neuro-digital subtraction angiography and dual-energy CT angiography （DE-CTA）. Previous studies have compared image quality, radiation exposure, and bone removal between neuro-digital subtraction angiography and DE-CTA. However, the number of cases was relatively small. The present study examined 300 suspected cases of cerebrovascular disease and observed the methods and duration of post-processing, examination time, and data volume. Results demonstrated similar image quality between the two methods, but lower radiation doses and shorter examination time in DE-CTA. DE-CTA allowed for faster and more stable scanning performance and post-processing methods, facilitating accurate and direct diagnosis of cerebrovascular disease.

Integrating digital twins and deep learning for medical image analysis in the era of COVID-19

Background Digital twins are virtual representations of devices and processes that capture the physical properties of the environment and operational algorithms/techniques in the context of medical devices and tech-nologies.Digital twins may allow healthcare organizations to determine methods of improving medical processes,enhancing patient experience,lowering operating expenses,and extending the value of care.During the present COVID-19 pandemic,various medical devices,such as X-rays and CT scan machines and processes,are constantly being used to collect and analyze medical images.When collecting and processing an extensive volume of data in the form of images,machines and processes sometimes suffer from system failures,creating critical issues for hospitals and patients.Methods To address this,we introduce a digital-twin-based smart healthcare system in-tegrated with medical devices to collect information regarding the current health condition,configuration,and maintenance history of the device/machine/system.Furthermore,medical images,that is,X-rays,are analyzed by using a deep-learning model to detect the infection of COVID-19.The designed system is based on the cascade recurrent convolution neural network(RCNN)architecture.In this architecture,the detector stages are deeper and more sequentially selective against small and close false positives.This architecture is a multi-stage extension of the RCNN model and sequentially trained using the output of one stage for training the other.At each stage,the bounding boxes are adjusted to locate a suitable value of the nearest false positives during the training of the different stages.In this manner,the arrangement of detectors is adjusted to increase the intersection over union,overcoming the problem of overfitting.We train the model by using X-ray images as the model was previously trained on another dataset.Results The developed system achieves good accuracy during the detection phase of COVID-19.The experimental outcomes reveal the efficiency of the detection architecture,which yields a mean average precision rate of 0.94.

A cadaveric breast cancer tissue phantom for phase-contrast X-ray imaging applications

Background:As mammography X-ray imaging technologies advance and provide elevated contrast in soft tissues,a need has developed for reliable imaging phantoms for use in system design and component calibration.In advanced imaging modalities such as refraction-based methods,it is critical that developed phantoms capture the biological details seen in clinical precancerous and cancerous cases while minimizing artifacts that may be caused due to phantom production.This work presents the fabrication of a breast tissue imaging phantom from cadaveric breast tissue suitable for use in both transmission and refraction-enhanced imaging systems.Methods:Human cancer cell tumors were grown orthotopically in nude athymic mice and implanted into the fixed tissue while maintaining the native tumor/adipose tissue interface.Results:The resulting human–murine tissue hybrid phantom was mounted on a clear acrylic housing for absorption and refraction X-ray imaging.Digital breast tomosynthesis was also performed.Conclusion:Both attenuation-based imaging and refraction-based imaging of the phantom are presented to confirm the suitability of this phantom's use in both imaging modalities.

DIP付费对医疗服务项目诊疗强度的影响研究

目的:探索DIP付费对医疗服务项目诊疗强度的影响。方法:收集某市2020年1月至2022年12月330家医疗机构住院患者开展数字化摄影诊疗的数据,利用独立样本t检验比较诊疗强度的变化,采用间断时间序列分析考察DIP付费对诊疗强度的影响。结果:DIP付费后三级医院、一级医院数字化摄影诊疗强度分别增加了0.03和0.04,二级医院下降了0.06;三级医院诊疗强度在短期内增加(β_(2)=0.061),长期却呈现下降趋势(β_(3)=-0.007)。结论:DIP付费对医疗服务项目诊疗强度的政策效应可能与政策预期不一致,异质性和同质性并存;要强化DIP支付方式改革与医疗服务价格改革的协同路径。

基于数字孪生的烟田管理系统

烟草农业已通过实施设施农业和全程机械化等手段来提升烟叶的生产效率、烘烤烟草的品质以及农民的收益,但在烟田管理上仍然面临由非线性、互馈性、多尺度等难题带来的效率低下问题。采用数字孪生理论和技术,以昆明地区的烟田管理系统为研究对象,设计多要素物联网数据采集装置,结合无人机倾斜摄影技术,建立一种以虚控实的数字化在线推理和反馈体系的烟田数字模型,以烟草氮元素管理为实践应用,实现了数据驱动的烟田农事管理。结果表明,数字孪生技术能显著提升烟草农业的管理效率,其中氮元素管理服务效率提升71%。数字孪生技术在烟田管理的全过程中都有广泛的应用潜力,为烟草农业的数字化转型提供应用参考。

超广角视网膜激光扫描成像系统在DR筛查中的应用评价

目的评价超广角视网膜激光扫描成像(UWFSLO)在糖尿病视网膜病变(DR)筛查中的应用价值。方法采用横断面研究,选取2016年10—12月在河北省唐山市开滦康复医院行DR筛查的2型糖尿病患者1288例2304眼,收集患者一般信息,完成UWFSLO和45°水平两视野数字彩色眼底照相检查,比较DR的检出及分级水平。不同眼底检查对DR分级的一致性采用Cohen Kappa检验。结果去除成像不清晰及缺失的图像,最终1857眼纳入分析。彩色眼底照相、UWFSLO复合彩色图像及绿通道图像对DR的检出率分别为31.3%(581/1857)、44.5%(826/1857)和43.4%(807/1857),差异有统计学意义(χ2=85.547,P<0.001),其中UWFSLO复合彩色图像、绿通道图像对DR的检出率均高于彩色眼底照相,差异均有统计学意义(均P<0.001)。45°水平两视野数字彩色眼底照相与UWFSLO复合彩色图像在DR检出分级之间的一致性一般,Kappa值为0.375(P<0.001),完全一致性为64.08%。UWFSLO绿通道图像与复合彩色图像对DR分级的一致性极好,Kappa值为0.953(P=0.008),完全一致性为98.17%。UWFSLO复合彩色图像对微动脉瘤(MA)、视网膜内微血管异常(IRMA)、视网膜新生血管(NV)病变的检出水平均低于绿通道图像,差异均有统计学意义(Z=-16.489、-4.198、-2.111,均P<0.05)。结论UWFSLO较45°水平两视野数字彩色眼底照相对DR的检出及分级评估水平更高,其中绿通道图像在MA、IRMA和小的NV病变检出上更为出色。在大规模人群DR的筛查及诊断中,UWFSLO具有较好的应用价值。

微距拍摄条件下的裂缝二维变化测量算法

结构性裂缝变化是建筑结构中常见的病害种类。针对微距拍摄下现有裂缝二维检测技术不足的问题,本文根据裂缝变化等效物理模型设计了一种能够适应微距拍摄的标靶,并提出了裂缝二维变化检测算法。本文算法由标靶靶别定位、畸变参数修正、裂缝参数计算等部分构成,由树莓派及摄像头组合形成微距图像采集装置,并基于室内试验验证。结果表明,该算法在微距拍摄下裂缝宽度变化测量精度在0.1 mm以内。

基于多视角三维航摄影像的树高提取方法比较

树高是一个重要的立木调查因子,传统树高测量方法是利用测高器人工测量,该方法调查速度慢,效率低下.重叠的立体像对,可以反映地物的高度信息,为大面积树高信息提取提供了可能.本研究采用大疆Phantom 4 RTK无人机获取研究区航摄影像并构建立体像对,分别从不同视角采用三维模型直接测量法、倾斜摄影点云提取法、冠层高度模型局部最大值法进行了树高信息提取.研究结果表明,三种方法林木检测率依次为:82.5%、76.8%、71.1%,测得的树高结果精度分别为:R2=0.730,RMSE=1.699;R2=0.804,RMSE=1.459;R2=0.766,RMSE=1.548.三维模型测量法获取的树高提取率最高,倾斜摄影点云提取的树高值与实测值的拟合度最高.研究结果利用航摄影像能够高效地提取树高信息,为林业研究调查提供一种低成本、高效率的方法.

白癜风皮肤影像学诊断研究进展

白癜风是一种慢性、获得性自身免疫性、色素减退性皮肤病,大多数情况下可以通过临床确诊。遇到难以辨认的白癜风时可能还需要皮肤活检这种有创方式进行病理组织学诊断。随着近年来皮肤影像学的发展,目前已有多种倍受医生和患者青睐的设备可以实现无创检查来确诊白癜风。本文归纳总结了数码摄影、伍德灯、皮肤镜、反射式共聚焦显微镜、计算机辅助成像分析等无创诊断技术在白癜风中的应用与发展现状。