检索结果-内蒙古大学图书馆

A quantitative biomechanical study for precise orthopedic intervention in idiopathic scoliosis

学校读者我要写书评

暂无评论

A quantitative biomechanical study for precise orthopedic in...

2022 IEEE International Conference on Real-Time Computing and robotics, RCAR 2022

作者： Feng, Ruliang Tao, Huiren Ye, Canhua Li, Guanglin Bai, Xueling Wang, Lin CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China Guangdong-Hong Kong-Macau Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen518055 China Institute of Biomedical and Health Engineering Chinese Academy of Sciences Center for Translational Medicine Research and Development Shenzhen518055 China Shenzhen University General Hospital Department of Spine Surgery Shenzhen China

ISBN: (数字)9781665469838

ISBN: (纸本)9781665469838

The scoliosis with a prevalence of about 2.4% has become the top 3 major 'killer' of children and adolescents' health. Only 0.02% of scoliosis would be severe enough to require surgical intervention, while the rest was treated with orthotics or exercise training. However, the location of the orthotic forces and its effects were still not clear, resulting in a great deal of blindness in the fabrication of precise individualized orthoses and the later applied orthopedic forces. In this paper, we built a 3D spine model of a patient with idiopathic scoliosis based on CT tomography data, applied different orthopedic forces to the spine model to compare the results and clarify the relationship between them in order to determine the optimal location and magnitude of the orthopedic force, which were necessary for precise interventions in patients. The present results showed that 1) the greater the applied force, the better the correction effect (within reasonable limits) and 2) the effect of multiple forces applied for correction was better than that of a single force applied, as reflected by a greater displacement of the vertebrae and almost identical mean Von Mises stress in the discs, which could support the production of effective personalized orthopedic robots. © 2022 IEEE.

关键词： Finite element method

Transceive phase corrected contrast source inversion-electrical properties tomography

学校读者我要写书评

暂无评论

arXiv 2019年

作者： Stijnman, Peter R.S. Mandija, Stefano Fuchs, Patrick S. van den Berg, Cornelis A.T. Remis, Rob F. Computational Imaging Group for MRI diagnostics and therapy Centre for Image Sciences University Medical Center Utrecht Department of Biomedical Engineering Eindhoven University of Technology Eindhoven Computational Imaging Group for MRI diagnostics and therapy Centre for Image Sciences University Medical Center Utrecht Circuit & Systems Group of the Electrical Engineering Mathematics and Computer Science Faculty of the Delft University of Technology

Magnetic resonance imaging (MRI) based electrical properties tomography (EPT) is the quantification of the conductivity and permittivity of different tissues. These electrical properties can be obtained through different reconstruction methods and can be used as a contrast mechanism. The work presented here continues from the two-dimensional CSI-EPT algorithm which was shown to work with two-dimensional Matlab based simulations. The existing CSI-EPT algorithm is reformulated to use the transceive phase rather than relying on the transceive phase assumption. This is achieved by implementing a forward problem, computing the receive phase, into the inverse minimization problem, i.e. retrieving the electrical properties. Furthermore, the radio frequency (RF) shield is numerically implemented to model the RF fields inside the MRI more accurately. Afterwards, the algorithm is tested with three-dimensional FDTD simulations to investigate if the two-dimensional CSI-EPT can retrieve the electrical properties for three-dimensional RF fields. Finally, an MR experiment with a phantom is performed to show the potential for this method. From the results of the two-dimensional Matlab simulations it is seen that CSI-EPT can reconstruct the electrical properties using MRI accessible quantities. In the three-dimensional simulations it is observed that the electrical properties are underestimated, nonetheless, CSI-EPT is more precise than the standard Helmholtz based methods. Finally, the first CSI-EPT results using measured data are shown. The results for the reconstruction using measured data were of the same quality as the results from the FDTD simulation. Copyright © 2019, The Authors. All rights reserved.

关键词： Magnetic resonance imaging

One-Stop Automated Diagnostic System for Carpal Tunnel Syndrome in Ultrasound Images Using Deep Learning

学校读者我要写书评

暂无评论

arXiv 2024年

作者： Peng, Jiayu Zeng, Jiajun Lai, Manlin Huang, Ruobing Ni, Dong Li, Zhenzhou Department of Ultrasound The Second People’s Hospital of Shenzhen The First Affiliated Hospital of Shenzhen University Shenzhen China Shenzhen University Health Science Center Shenzhen518000 China National-Regional Key Technology Engineering Laboratory for Medical Ultrasound School of Biomedical Engineering Health Science Center Shenzhen University Shenzhen China Lab Shenzhen University China Marshall Laboratory of Biomedical Engineering Shenzhen University China Ultrasound Division The University of Hong Kong Shenzhen Hospital Shenzhen China

Objective: Ultrasound (US) examination has unique advantages in diagnosing carpal tunnel syndrome (CTS) while identifying the median nerve (MN) and diagnosing CTS depends heavily on the expertise of examiners. To alleviate this problem, we aimed to develop a one-stop automated CTS diagnosis system (OSA-CTSD) and evaluate its effectiveness as a computer-aided diagnostic tool. Methods: We combined real-time MN delineation, accurate biometric measurements, and explainable CTS diagnosis into a unified framework, called OSA-CTSD. We collected a total of 32,301 static images from US videos of 90 normal wrists and 40 CTS wrists for evaluation using a simplified scanning protocol. Results: The proposed model showed better segmentation and measurement performance than competing methods, reporting that HD95 score of 7.21px, ASSD score of 2.64px, Dice score of 85.78%, and IoU score of 76.00%, respectively. In the reader study, it demonstrated comparable performance with the average performance of the experienced in classifying the CTS, while outperformed that of the inexperienced radiologists in terms of classification metrics (e.g., accuracy score of 3.59% higher and F1 score of 5.85% higher). Conclusion: The OSA-CTSD demonstrated promising diagnostic performance with the advantages of real-time, automation, and clinical interpretability. The application of such a tool can not only reduce reliance on the expertise of examiners, but also can help to promote the future standardization of the CTS diagnosis process, benefiting both patients and radiologists. Copyright © 2024, The Authors. All rights reserved.

关键词： Computer aided diagnosis

Rheostatic Control of ABA Signaling through HOS15-Mediated OST1 Degradation

学校读者我要写书评

暂无评论

Molecular Plant 2019年第11期12卷 1447-1462页

作者： Akhtar Ali Jae Kyoung Kim Masood Jan Haris Ali Khan Irfan Ullah Khan Mingzhe Shen Junghoon Park Chae Jin Lim Shah Hussain Dongwon Baek Kai Wang Woo Sik Chung Vicente Rubio Sang Yeol Lee Zhizhong Gong Woe Yeon Kim Ray ABressan Jose MPardo Dae-Jin Yun Department of Biomedical Science&Engineering Konkuk UniversitySeoul 05029South Korea Department of Mathematical Sciences Korea Advanced Institute of Science and TechnologyDaejeon 34131Korea Division of Applied Life Science Plant Molecular Biology and Biotechnology Research CenterGyeongsang National UniversityJinju 660-701South Korea State Key Laboratory of Plant Physiology and Biochemistry College of Biological SciencesChina Agricultural UniversityBeijing 100193China Centro Nacional de Biotecnologia-CSIC Darwin 3.Campus de la UAM.Cantoblanco28049 MadridSpain Department of Horticulture and Landscape Architecture Purdue University625 Agriculture Mall DriveWest LafayetteIN 47907-2010USA lnstituto de Bioquimica Vegetal y Fotosintesis cicCartujaCSIC-Universidad de SevillaAmericoVespucio 49Sevilla 41092Spain

Dehydrating stresses trigger the accumulation of abscisic acid(ABA),a key plant stress-signaling hormone that activates Snf1-Related Kinases(SnRK2s)to mount adaptive ***,the regulatory circuits that terminate the SnRK2s signal relay after acclimation or post-stress conditions remain to be ***,we show that the desensitization of the ABA signal is achieved by the regulation of OST1(SnRK2.6)protein stability via the E3-ubiquitin ligase *** ABA signal,HOS15-induced degradation of OST1 is inhibited and stabilized OST1 promotes the stress *** the ABA signal terminates,protein phosphatases ABI1/2 promote rapid degradation of OST1 via ***,we found that even in the presence of ABA,OST1 levels are also depleted within hours of ABA signal *** unexpected dynamics of OST1 abundance are then resolved by systematic mathematical modeling,demonstrating a desensitizing feedback loop by which OST1-induced upregulation of ABI1/2 leads to the degradation of *** model illustrates the complex rheostat dynamics underlying the ABA-induced stress response and desensitization.

关键词： ABA signaling drought stress HOS15 OST1 ABI1/2 protein degradation and stability

原位合成由硒纳米颗粒修饰的细菌纤维素/明胶水凝胶具有增强的抗菌抗氧化及抗炎性能促进皮肤创面的修复

学校读者我要写书评

暂无评论

中华烧伤杂志 2021年第11期37卷 1023-1023页

作者： Mao L Wang L Zhang MY 张清荣(编译) National Engineering Research Center for Nano-Medicine Department of Biomedical Engineering College of Life Science and Technology Huazhong University of Science and Technology Wuhan 430074 China. School of Mechanical and Electronic Engineering Wuhan University of Technology Wuhan 430070 China. Center for AIE Research College of Materials Science and Engineering Shenzhen University Shenzhen 518061 China. School of Materials Science and Engineering Henan University of Science and Technology Luoyang 471023 China.

与细菌相关的创面感染及抗生素耐药给患者和医疗保健体系带来了沉重的负担。因此,迫切需要开发一种既能有效预防创面感染,又能促进创面愈合且无抗生素的多功能创面敷料来解决这一难题。该研究基于细菌纤维素(BC)、明胶和硒纳米颗粒(SeNP... 详细信息

与细菌相关的创面感染及抗生素耐药给患者和医疗保健体系带来了沉重的负担。因此,迫切需要开发一种既能有效预防创面感染,又能促进创面愈合且无抗生素的多功能创面敷料来解决这一难题。该研究基于细菌纤维素(BC)、明胶和硒纳米颗粒(SeNP)等材料,构建了一系列具有显著抗菌、抗氧化和抗炎能力的多功能纳米复合水凝胶用于修复创面。该BC/明胶/SeNP纳米复合水凝胶具有优越的机械性能,良好的溶胀性、柔韧性、生物可降解性及生物相容性,并且可以缓慢、持久地释放SeNP。SeNP的加入赋予了该水凝胶优越的抗氧化和抗炎能力,并对常见的细菌(大肠埃希菌和金黄色葡萄球菌)及多重耐药菌具有优异的抗菌活性。此外,BC/明胶/SeNP纳米复合水凝胶在大鼠全层皮肤缺损模型中表现出较好的促进创面愈合能力,创面具体表现为明显的炎症减轻、创面闭合、肉芽组织形成、胶原沉积、血管生成以及Fb的活化和分化。该研究表明,该多功能BC/明胶/SeNP纳米复合水凝胶作为创面敷料在预防创面感染和促进皮肤再生方面具有巨大的临床应用前景。

关键词：医疗保健体系创面感染多重耐药菌抗炎性创面敷料生物可降解性细菌纤维素金黄色葡萄球菌

CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image Segmentation

学校读者我要写书评

暂无评论

arXiv 2022年

作者： Gu, Ran Wang, Guotai Lu, Jiangshan Zhang, Jingyang Lei, Wenhui Chen, Yinan Liao, Wenjun Zhang, Shichuan Li, Kang Metaxas, Dimitris N. Zhang, Shaoting School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China School of Biomedical Engineering Shanghai Jiao Tong University Shanghai China School of Biomedical Engineering ShanghaiTech University Shanghai China School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Sensetime Research Shanghai China Department of Radiation Oncology Sichuan Cancer Hospital and Institute University of Electronic Science and Technology of China Chengdu China West China Hospital-SenseTime Joint Lab West China Biomedical Big Data Center Sichuan University Chengdu China Department of Computer Science Rutgers University PiscatawayNJ08854 United States Shanghai AI Lab Shanghai China

Generalization to previously unseen images with potential domain shifts and different styles is essential for clinically applicable medical image segmentation, and the ability to disentangle domain-specific and domain-invariant features is key for achieving Domain Generalization (DG). However, existing DG methods can hardly achieve effective disentanglement to get high generalizability. To deal with this problem, we propose an efficient Contrastive Domain Disentanglement and Style Augmentation (CDDSA) framework for generalizable medical image segmentation. First, a disentangle network is proposed to decompose an image into a domain-invariant anatomical representation and a domain-specific style code, where the former is sent to a segmentation model that is not affected by the domain shift, and the disentangle network is regularized by a decoder that combines the anatomical and style codes to reconstruct the input image. Second, to achieve better disentanglement, a contrastive loss is proposed to encourage the style codes from the same domain and different domains to be compact and divergent, respectively. Thirdly, to further improve generalizability, we propose a style augmentation method based on the disentanglement representation to synthesize images in various unseen styles with shared anatomical structures. Our method was validated on a public multi-site fundus image dataset for optic cup and disc segmentation and an in-house multi-site Nasopharyngeal Carcinoma Magnetic Resonance Image (NPC-MRI) dataset for nasopharynx Gross Tumor Volume (GTVnx) segmentation. Experimental results showed that the proposed CDDSA achieved remarkable generalizability across different domains, and it outperformed several state-of-the-art methods in domain-generalizable segmentation. Code is available at https://***/HiLab-git/DAG4MIA. © 2022, CC BY.

关键词： Magnetic resonance imaging

Rice classification using spatio-spectral deep convolutional neural network

学校读者我要写书评

暂无评论

arXiv 2018年

作者： Chatnuntawech, Itthi Tantisantisom, Kittipong Khanchaitit, Paisan Boonkoom, Thitikorn Bilgic, Berkin Chuangsuwanich, Ekapol National Nanotechnology Center National Science and Technology Development Agency Pathum Thani Thailand Athinoula A. Martinos Center for Biomedical Imaging CharlestownMA United States Harvard Medical School BostonMA United States Computer Engineering Department Chulalongkorn University Bangkok Thailand

Rice has been one of the staple foods that contribute significantly to human food supplies. Numerous rice varieties have been cultivated, imported, and exported worldwide. Different rice varieties could be mixed during rice production and trading. Rice impurities could damage the trust between rice importers and exporters, calling for the need to develop a rice variety inspection system. In this work, we develop a non-destructive rice variety classification system that benefits from the synergy between hyperspectral imaging and deep convolutional neural network (CNN). The proposed method uses a hyperspectral imaging system to simultaneously acquire complementary spatial and spectral information of rice seeds. The rice varieties are then determined from the acquired spatio-spectral data using a deep CNN. As opposed to several existing rice variety classification methods that require hand-engineered features, the proposed method automatically extracts features from the raw sensor data. As demonstrated using two types of rice datasets, the proposed method achieved up to 8% relative improvement in the classification accuracy compared to the commonly used classification methods based on support vector machines. Copyright © 2018, The Authors. All rights reserved.

关键词： Deep neural networks

Using multi-dimensional dynamic time warping for TUG test instrumentation with inertial sensors

学校读者我要写书评

暂无评论

Using multi-dimensional dynamic time warping for TUG test in...

International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)

作者： Ahmed Al-Jawad Miguel Reyes Adame Michailas Romanovas Markus Hobert Walter Maetzler Martin Traechtler Knut Moeller Yiannos Manoli Hahn-Schickard-Gesellschaft Institute of Microsystems and Information Technology Villingen-Schwenningen Germany Department of Biomedical Engineering Hochschule Furtwangen University Villingen-Schwenningen Germany Department of Neurodegeneration Center of Neurology University of Tubingen Tubingen Germany Fritz Huettinger Chair of Microelectronics Department of Microsystems Engineering-IMTEK University of Freiburg Freiburg im Breisgau Germany

The Timed Up and Go (TUG) is a clinical test used widely to measure balance and mobility, e.g. in Parkinson's disease (PD). The test includes a sequence of functional activities, namely: sit-to-stand, 3-meters walk, 180° turn, walk back, another turn and sit on the chair. Meanwhile the stopwatch is used to score the test by measuring the time which the patients with PD need to perform the test. Here, the work presents an instrumented TUG using a wearable inertial sensor unit attached on the lower back of the person. The approach is used to automate the process of assessment compared with the manual evaluation by using visual observation and a stopwatch. The developed algorithm is based on the Dynamic Time Warping (DTW) for multi-dimensional time series and has been applied with the augmented feature for detection and duration assessment of turn state transitions, while a 1-dimensional DTW is used to detect the sit-to-stand and stand-to-sit phases. The feature set is a 3-dimensional vector which consists of the angular velocity, derived angle and features from Linear Discriminant Analysis (LDA). The algorithm was tested on 10 healthy individuals and 20 patients with PD (10 patients with early and late disease phases respectively). The test demonstrates that the developed technique can successfully extract the time information of the sit-to-stand, both turns and stand-to-sit transitions in the TUG test.

关键词： Sensors Angular velocity Vectors Diseases Feature extraction Legged locomotion Correlation

Visualizing inflammatory activity in isolated perfused rat hearts

学校读者我要写书评

暂无评论

Visualizing inflammatory activity in isolated perfused rat h...

Asian and Pacific Rim Symposium on Biophotonics, APBP

作者： Long-Sheng Lu Yen-Bin Liu Chau-Chung Wu Chia-Wei Sun Graduate Institute of Pharmacology National Taiwan University College of Medicine Taipei Taiwan Department of Internal Medicine National Taiwan University Hospital National Taiwan University Taipei Taiwan Biomedical Engineering Center Industrial Technology Research Institute Hsinchu Taiwan

Inflammation is a defense mechanism against various noxious stimuli. The recruitment of host leukocytes to sites of injury results in increased regional microvascular leakage and reactive oxygen species (ROS) generation. Excessive inflammatory activity not only eliminates offending stimuli but also result in tissue damage, as evidenced in reperfusion injury of the heart. To investigate spatial-temporal evolution of acute inflammation after myocardial reperfusion injury, we monitored microvascular leakage and reactive oxygen species generation with optical mapping technique. Reperfusion injury was performed on isolated blood-perfused rat heart, and it was labeled with dihydroethidium and large molecular weight tetramethylrhodamine conjugated dextran. Tissue was illuminated with a 532 nm laser, and epifluorescence at 580 and 650 nm was collected through 2 separate band pass filters. Our results indicate that 1. Optical mapping of myocardial inflammation is feasible; and 2. Reperfusion injury elicits substantial microvascular leakage and ROS production.

关键词： Visualization Heart Injuries Myocardium Optical filters Recruitment White blood cells Tissue damage Monitoring Band pass filters