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Colorectal Cancer Segmentation Algorithm Based on Deep Features from Enhanced CT Images

Computers, Materials & Continua 2024年第8期80卷 2495-2510页

作者： Shi Qiu hongbing lu Jun Shu Ting Liang Tao Zhou School of Biomedical Engineering Fourth Military Medical UniversityXi’an710119China Department of Radiology Xijing HospitalFourth Military Medical UniversityXi’an710032China Department of Radiology The First Affiliated Hospital of Xi’an Jiaotong UniversityXi’an710061China School of Computer Science and Engineering North Minzu UniversityYinchuan750030China

Colorectal cancer,a malignant lesion of the intestines,significantly affects human health and life,emphasizing the necessity of early detection and *** segmentation of colorectal cancer regions directly impacts subsequent staging,treatment methods,and prognostic *** colonoscopy is an effective method for detecting colorectal cancer,its data collection approach can cause patient *** address this,current research utilizes Computed Tomography(CT)imaging;however,conventional CT images only capture transient states,lacking sufficient representational capability to precisely locate colorectal *** study utilizes enhanced CT images,constructing a deep feature network from the arterial,portal venous,and delay phases to simulate the physician’s diagnostic process and achieve accurate cancer *** innovations include:1)Utilizing portal venous phase CT images to introduce a context-aware multi-scale aggregation module for preliminary shape extraction of colorectal cancer.2)Building an image sequence based on arterial and delay phases,transforming the cancer segmentation issue into an anomaly detection problem,establishing a pixel-pairing strategy,and proposing a colorectal cancer segmentation algorithm using a Siamese *** with 84 clinical cases of colorectal cancer enhanced CT data demonstrated an Area Overlap Measure of 0.90,significantly better than Fully Convolutional Networks(FCNs)at *** research will explore the relationship between conventional and enhanced CT to further reduce segmentation time and improve accuracy.

关键词： Colorectal cancer enhanced CT multi-scale siamese network segmentation

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内燃机车车顶高温浮射流扩散规律的数值研究

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空气动力学学报 2024年第7期42卷 58-67,I0001页

作者：伍钒汤柠铭于德壮韩胜鲁红兵徐任泽中南大学交通运输工程学院轨道交通安全教育部重点实验室长沙410075 轨道交通安全关键技术国际合作联合实验室长沙410075 轨道交通列车安全保障技术国家地方联合工程研究中心长沙410075 中车大连机车车辆有限公司机车开发部大连116000 天津轨道交通运营集团有限公司津铁车辆天津300392

内燃机车在高海拔偏远山区的非电气化铁路中得到了广泛应用,然而其在运行过程中,车顶产生的高温浮射流将紧贴车顶表面流动,导致列车车顶局部过热,从而影响列车的运行安全。基于实车试验验证的数值模拟方法,对高海拔地区运行的5辆编组列... 详细信息

内燃机车在高海拔偏远山区的非电气化铁路中得到了广泛应用,然而其在运行过程中,车顶产生的高温浮射流将紧贴车顶表面流动,导致列车车顶局部过热,从而影响列车的运行安全。基于实车试验验证的数值模拟方法,对高海拔地区运行的5辆编组列车(包括2节内燃机车)进行仿真研究,并分析了不同运行速度和射流入射角度对高温浮射流扩散特性的影响。研究结果表明:随着运行速度的提高,射流运动轨迹线降低,导致高温气流更贴近列车车顶,特别是当内燃机车以最高运行速度160 km/h运行时,列车车顶的高温区域达到最大;增大射流入射角度能够有效减轻高温浮射流受到的来流冲击作用,进而提高射流轨迹线并降低车顶表面温度,当高温浮射流的入射角度达到45°时,列车车顶最高温度下降51.6%。本研究的发现为降低高海拔铁路上内燃机车车顶设备损坏风险提供了重要的参考。

关键词：内燃机车高温浮射流扩散与混合数值仿真

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细支低温加热卷烟雾化剂的选择与应用

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中国烟草学报 2024年第3期30卷 19-25页

作者：龚淑果黄平谢圣林文雅萍钟科军卢红兵彭新辉孔波湖南中烟工业有限责任公司技术中心长沙市劳动中路386号410007

【目的】缓解目前细支加热卷烟存在的抽吸时前后感官差异较大、易挥发特征香持续性较差、主要成分逐口释放变化较大等问题。【方法】将器具的周向加热温度降至200℃以下,并进行雾化剂的选择,考察羰基化合物释放情况、雾化剂对烟气释放... 详细信息

【目的】缓解目前细支加热卷烟存在的抽吸时前后感官差异较大、易挥发特征香持续性较差、主要成分逐口释放变化较大等问题。【方法】将器具的周向加热温度降至200℃以下,并进行雾化剂的选择,考察羰基化合物释放情况、雾化剂对烟气释放均匀性的影响以及感官评吸情况。【结果】(1)对于细支加热卷烟而言,在150℃~200℃加热时,比较适宜的雾化剂是1,2-丙二醇和1,3-丁二醇。(2)随着平均加热温度从220℃降低至170℃,烟气中低分子量挥发性羰基化合物释放量明显降低,其中甲醛降低幅度达到81%。(3)降低加热温度和选用适宜的雾化剂,有利于提高烟气释放均匀性,同时满足烟雾量中等、化学气息弱、烟气释放均匀性较好的雾化剂组合为1,2-丙二醇、1,3-丁二醇和丙三醇,三者比例为1∶1∶1。【结论】虽然加热温度降低会使烟草香气成分释放减少,但是香气均匀性和持续性都有所改善。

关键词：细支加热卷烟雾化剂羰基化合物逐口释放均匀性

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Fluorescent digital image correlation techniques in experimental mechanics

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Science China(Technological Sciences) 2018年第1期61卷 21-36页

作者： HU ZhenXing XU TingGe WANG XueMin XIE ZhiMing luO HuiYang HE Yong GUO Lei LI YuanPing GAN RongZhu lu hongbing Department of Mechanical Engineering University of Texas at Dallas Department of Civil Engineering Yancheng Institute of Technology School of Mechanics and Construction Engineering Jinan University School of Aerospace and Mechanical Engineering University of Oklahoma

White light has often been used for surface illumination to acquire images for digital image correlation （DIC） analysis. In recent years, fluorescent imaging technique has been introduced for illumination, surface deformation and topography measurements with applications on various materials including biomaterials （biofilms, etc.） at the microscale. Traditional imaging, with the use of white light, encounters technical issues such as specular reflection owing to moisture or smooth shiny surfaces （e.g., metallic or glass surfaces）. As an altemative to white light, fluorescent imaging serves as a solution to resolve the issues of specular reflection. Fluorescent DIC techniques, especially the fluorescent stereo DIC, allow 3D surface profilometry and deformation measurements at the microscale and submicron scale. Fluorescent stereo imaging under a microscope utilizes emission wavelengths that are different from illumination wavelengths to ensure clear images on any surface that might give reflections at certain angles when white light is used, allowing accurate metrology and deformation measurement. In addition microscopic fluorescent imaging provides nanoscale resolutions surpassing Abbe＇s diffraction limit. This paper provides a review of the recent advances in fluorescent DIC.

关键词： digital image correlation stereo digital image correlation fluorescent imaging fluorescent stereo microscopy 3D profilometry deformation measurement

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Vector textures derived from higher order derivative domains for classification of colorectal polyps

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Visual Computing for Industry,Biomedicine,and Art 2022年第1期5卷 187-200页

作者： Weiguo Cao Marc J.Pomeroy Zhengrong Liang Almas FAbbasi Perry J.Pickhardt hongbing lu Department of Radiology State University of New York at Stony BrookStony Brook NY 11794USA Department of Biomedical Engineering State University of New York at Stony BrookStony Brook NY 11794USA Department of Radiology University of Wisconsin Medical SchoolMadison WI 53705USA Department of Biomedical Engineering the Fourth Medical UniversityXi’an 710032ShaanxiChina

Textures have become widely adopted as an essential tool for lesion detection and classification through analysis of the lesion *** this study,higher order derivative images are being employed to combat the challenge of the poor contrast across similar tissue types among certain imaging *** make good use of the derivative information,a novel concept of vector texture is firstly introduced to construct and extract several types of polyp *** widely used differential operators,i.e.,the gradient operator and Hessian operator,are utilized to generate the first and second order derivative *** derivative volumetric images are used to produce two angle-based and two vectorbased(including both angle and magnitude)***,a vector-based co-occurrence matrix is proposed to extract texture features which are fed to a random forest classifier to perform polyp *** evaluate the performance of our method,experiments are implemented over a private colorectal polyp dataset obtained from computed tomographic *** compare our method with four existing state-of-the-art methods and find that our method can outperform those competing methods over 4%-13%evaluated by the area under the receiver operating characteristics curves.

关键词： Machine learning Gradient Hessian matrix Haralick feature Random forest Image texture

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Bio-assembled smart nanocapsules for targeted delivery of KRAS shRNA and cancer cell bioimage

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Chinese Chemical Letters 2023年第1期34卷 270-273页

作者： Maonan Wang Zengchao Guo Jiayu Zeng Liu Liu Yihan Wang Jinpeng Wang hongbing lu Haijun Zhang Hui Jiang Xuemei Wang State Key Laboratory of Bioelectronics(Chien-Shiung Wu Lab) School of Biological Science and Medical EngineeringSoutheast UniversityNanjing 210096China Department of Biomedical Engineering/Computer Application Fourth Military Medical UniversityXi’an 710032China Department of Oncology Zhongda HospitalMedical School of Southeast UniversityNanjing 210009China

The five-year survival rate for pancreatic cancer is less than 5%. However, the current clinical multimodal therapy combined with first-line chemotherapy drugs only increases the patient’s median survival from 5.0 months to 7.2 months. Consequently, a new strategy of cancer treatments is urgently needed to overcome this high-fatality disease. Through a series of biometric analyses, we found that KRAS is highly expressed in the tumor of pancreatic cancer patients, and this high expression is closely related to the poor prognosis of patients. It shows that inhibiting the expression of KRAS has great potential in gene therapy for pancreatic cancer. Given those above, we have exploited the possibility of targeted delivery of KRAS shRNA with the intelligent and bio-responsive nanomedicine to detect the special oxidative stress microenvironment of cancer cells and realize efficient cancer theranostics. Our observations demonstrate that by designing the smart self-assembled nanocapsules of melanin with fluorescent nanoclusters we can readily achieve the bio-recognition and bioimaging of cancer cells in biological solution or *** self-assembled nanocapsules can make a significant bio-response to the oxidative stress microenvironment of cancer cells and generate fluorescent zinc oxide Nanoclusters in situ for targeted cell bioimaging. Moreover, it can also readily facilitate cancer cell suppression through the targeted delivery of KRAS shRNA and low-temperature hyperthermia. This raises the possibility to provide a promising theranostics platform and self-assembled nanomedicine for targeted cancer diagnostics and treatments through special oxidative stress-responsive effects of cancer cells.

关键词： Smart bio-responsive nanocapsules Intelligent nanomedicine shRNA KRAS Fluorescent bioimaging Oxidative stress response

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Synthesis,Characterization and Photoluminescence of Well-Ordered ZnO Micropillars Grown on ZnO Buffer Layers

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Wuhan University Journal of Natural Sciences 2007年第6期12卷 1043-1046页

作者： lu hongbing TIAN Yu HU Meifeng SHUAI Min LI Jinchai School of Physics and Technology Wuhan University Wuhan 430072 Hubei China

Using ZnO buffer layers prepared by simply thermal oxidation of ion beam sputtered Zn films, highly oriented and uniformly aligned single-crystalline ZnO micropillars arrays have been synthesized by thermal evaporation of Zn powder with flee catalysts at low temperature of 430℃ The ZnO micropillars show sharp hexagonal umbrella-like tips with thin ZnO nanowire grown on the tips. The umbrella-like tips grow in a layer-by-layer mode along the direction of [001]. The growth mechanism has been discussed. The formation of the micropillars basically depends on the gradually decreasing Zn vapor pressure and subsequently cooling process. The photoluminescence （PL） spectrum indicates a moderately good crystal quality of the ZnO micropillars. Our results may reinforce the understanding of the formation mechanism of different ZnO nano/microstructures. This kind of complex microstructures may find potential applications in multifunctional microdevices, optoelectronic and field emission devices.

关键词： ZnO ion beam sputtering buffer layer crystal growth optical property

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面向“双碳”战略的印染污泥干化焚烧技术经济环境综合评价研究

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环境科学研究 2024年第9期37卷 1877-1884页

作者：吕洪炳陈理帅吴光华陈东波俞彩孟柳兆印张东明田金平陈亚林陈吕军浙江浙能兴源节能科技有限公司浙江杭州311121 清华大学环境学院北京100084

污泥干化焚烧热电联产是印染行业减污降碳的重要举措,污泥焚烧过程中控制煤炭添加比例(煤泥比)是这类项目核准和运行考核的重要指标,本研究旨在解决污泥低煤炭掺烧面临的经济收益和减碳绩效平衡问题,以期为类似工程提供借鉴。依托华东... 详细信息

污泥干化焚烧热电联产是印染行业减污降碳的重要举措,污泥焚烧过程中控制煤炭添加比例(煤泥比)是这类项目核准和运行考核的重要指标,本研究旨在解决污泥低煤炭掺烧面临的经济收益和减碳绩效平衡问题,以期为类似工程提供借鉴。依托华东某印染园区2500t/d污泥焚烧项目,基于煤泥比不超过20%的管理要求,构建集成技术经济分析和生命周期评价的多目标优化模型,运用NSGA-II算法,揭示热电比、污泥含水率、固体回收燃料(SRF)掺烧比例等指标对项目经济性和碳排放的影响。结果表明:①当案例项目的热电比从50%提高到100%时,价格差异使经济效益提高22.0%,但碳排放平均增长约8.0%。②在稳定运行前提下,当入炉污泥含水率由45%提高到55%,入炉混合燃料量由36.7 t/h提高到41.8 t/h,原煤用量分别为7.3和8.3 t/h时,可使供热量增加28.1%、供电量增加18.1%,项目经济性提高,但该工况下化石碳排放增加。③可通过提高入炉污泥含水率使Pareto前沿面向项目经济效益提高且碳排放水平减少的方向移动,同时较高入炉污泥含水率下可通过恰当的经济性的降低获得较大的碳减排,污泥焚烧项目不应单纯追求入炉污泥的低含水率。④针对因污泥量不足导致的锅炉负荷低的情况,可通过掺加SRF稳定锅炉负荷,保持运行经济性;在污泥足量情况下,掺加SRF可替代部分煤炭,降低煤炭掺烧的碳排放。研究显示,印染污泥干化焚烧热电联产具有良好的经济效益和减污降碳效应,面向“双碳”战略,需要加快建立工业园区能源系统整体优化和污泥焚烧处置长效机制,优化技术模式,加强区域资源优化配置。

关键词：印染污泥低煤炭掺烧碳排放模型经济模型多目标优化

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基于空运条件的集装箱式生物隔离方舱负压环境设计与实现

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中国医学装备 2024年第5期21卷 31-35页

作者：段江霞黄雪侯昌垒郭金成卢虹冰王东光空军军医大学军事生物医学工程学系西安710032 生物电磁检测与智能感知陕西省重点实验室西安710032 重庆海润节能技术股份有限公司重庆401120 空军军医大学西安710032

目的:研究并设计一种可应用于集装箱式生物隔离方舱的负压环境,以满足在陆、海、空多式联运转运过程中及空运条件下箱内的负压环境稳定及压差动态智能调控。方法:综合分析国内外传染病负压隔离装备的压差设计规范及研究成果,设计一种动... 详细信息

目的:研究并设计一种可应用于集装箱式生物隔离方舱的负压环境,以满足在陆、海、空多式联运转运过程中及空运条件下箱内的负压环境稳定及压差动态智能调控。方法:综合分析国内外传染病负压隔离装备的压差设计规范及研究成果,设计一种动力分布式无风道通风系统,通过预设压力冗余、传感器实时监测以及压力动态跟随,实现在空运过程中集装箱内的负压稳定和智能调控。结果:设计的集装箱式生物隔离方舱负压环境经测试,箱内清洁区、缓冲区、污染区、医务人员通道和患者通道的“三区两通道”各区压差满足预设要求,清洁区室外、清洁区卫生间、缓冲区二更的清洁区卫生间、缓冲区一更的污染区、污染区卫生间和污染区室外的压差分别为34.2、38.8、-8.0、-31.7、-15.1和-44.6 Pa。通过箱内布设的传感器及智能显控设备,测试验证箱内各区压差动态能够满足生物安全三级实验室(BSL-3)要求。结论:箱内各区稳定的负压环境和智能压差调控,使集装箱具有更高的生物安全特性,有效保障烈性传染病患者全域安全转运及空运条件下的转运救治。

关键词：动力分布式负压稳定智能调控空运集装箱生物安全

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Abnormal Effective Connectivity in the Brain is Involved in Auditory Verbal Hallucinations in Schizophrenia

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Neuroscience Bulletin 2017年第3期33卷 281-291页

作者： Baojuan Li Long-Biao Cui Yi-Bin Xi Karl J.Friston Fan Guo Hua-Ning Wang Lin-Chuan Zhang Yuan-Han Bai Qing-Rong Tan Hong Yin hongbing lu School of Biomedical Engineering Fourth Military Medical UniversityXi'an 710032China Department of Radiology Xijing HospitalFourth Military Medical UniversityXi'an 710032China Wellcome Trust Center for Nettroimaging Institute ofNeurologyUniversity College LondonLondon WC1N 3BGUK Department of Psychiatry Xijing HospitalFourth Military Medical UniversityXi'an 710032China

Information flow among auditory and language processing-related regions implicated in the pathophysiology of auditory verbal hallucinations（AVHs） in schizophrenia（SZ） remains unclear. In this study, we used stochastic dynamic causal modeling（s DCM） to quantify connections among the left dorsolateral prefrontal cortex（inner speech monitoring）, auditory cortex（auditory processing）, hippocampus（memory retrieval）, thalamus（information filtering）, and Broca＇s area（language production） in 17 first-episode drug-na？¨ve SZ patients with AVHs, 15 without AVHs, and 19 healthy controls using resting-state functional magnetic resonance ***, we performed receiver operating characteristic（ROC） analysis and correlation analysis between image measures and symptoms. s DCM revealed an increasedsensitivity of auditory cortex to its thalamic afferents and a decrease in hippocampal sensitivity to auditory inputs in SZ patients with AVHs. The area under the ROC curve showed the diagnostic value of these two connections to distinguish SZ patients with AVHs from those without AVHs. Furthermore, we found a positive correlation between the strength of the connectivity from Broca＇s area to the auditory cortex and the severity of AVHs. These findings demonstrate, for the first time, augmented AVHspecific excitatory afferents from the thalamus to the auditory cortex in SZ patients, resulting in auditory perception without external auditory stimuli. Our results provide insights into the neural mechanisms underlying AVHs in SZ. This thalamic-auditory cortical-hippocampal dysconnectivity may also serve as a diagnostic biomarker of AVHs in SZ and a therapeutic target based on direct in vivo evidence.

关键词： Effective connectivity Stochastic dynamic causal modeling Auditory verbal hallucinations Schizophrenia

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