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Associations between haemodynamics and wall enhancement of intracranial aneurysm

Stroke & Vascular Neurology 2021年第3期6卷 467-475,I0077-I0079页

作者： Miaoqi Zhang Fei Peng Xin Tong Xin Feng Yunduo Li Huijun Chen Hao Niu Baorui Zhang Guangrong Song Youxiang Li Peng Liu Aihua Liu Rui Li Center for Biomedical Imaging Research Department of Biomedical EngineeringSchool of MedicineTsinghua UniversityBeijingChina Beijing Neurosurgical Institute Capital Medical UniversityBeijingChina Department of Interventional Neuroradiology Beijing Tiantan HospitalBeijingChina Department of Neurosurgery Beijing HospitalBeijingChina

Background and purpose Previous studies have reported about inflammation processes(IPs)that play important roles in aneurysm formation and rupture,which could be driven by blood *** can be identified using aneurysmal wall enhancement(AWE)on high-resolution black-blood MRI(BB-MRI)and blood flow haemodynamics can be demonstrated by four-dimensional-flow MRI(4D-flow MRI).Thus,this study investigated the associations between AWE and haemodynamics in unruptured intracranial aneurysms(IA)by combining 4D-flow MRI and high-resolution *** and methods Between April 2014 and October 2017,48 patients with 49 unruptured IA who underwent both 4D-flow MRI and high-resolution BB-MRI were retrospectively included in this *** haemodynamic parameters demonstrated using 4D-flow MRI were compared between different AWE patterns using the Kruskal-Wallis test and ordinal *** The results of Kruskal-Wallis test showed that the average wall shear stress in the IA(WSSavg-IA),maximum through-plane velocity in the adjacent parent artery,inflow jet patterns and the average vorticity in IA(vorticityavg-IA)were significantly associated with the AWE *** regression analysis identified WSSavg-IA(p=0.002)and vorticityavg-IA(p=0.033)as independent predictors of AWE *** A low WSS and low average vorticity were independently associated with a high AWE grade for IAs larger than 4 ***,WSS and average vorticity could predict AWE and circumferential AWE.

关键词： aneurysm intracranial haemodynamics

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ZOZI-Seg: A transformer and UNet cascade network with Zoom-Out and Zoom-In scheme for aortic dissection segmentation in enhanced CT images

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Computers in Biology and Medicine 2024年 175卷 108494-108494页

作者： Jung, Ji-Hoon Oh, Hong Min Jeong, Gyu-Jun Kim, Tae-Won Koo, Hyun Jung Lee, June-Goo Yang, Dong Hyun Department of Biomedical Engineering AMIST Asan Medical Center University of Ulsan College of Medicine Seoul Korea Republic of Department of Radiology and Research Institute of Radiology Cardiac Imaging Center Asan Medical Center University of Ulsan College of Medicine Seoul Korea Republic of

Background & objective: Aortic dissection (AD) is a serious condition requiring rapid and accurate diagnosis. In this study, we aimed to improve the diagnostic accuracy of AD by presenting a novel method for aortic segmentation in computed tomography images that uses a combination of a transformer and a UNet cascade network with a Zoom-Out and Zoom-In scheme (ZOZI-seg). Methods: The proposed method segments each compartment of the aorta, comprising the true lumen (TL), false lumen (FL), and thrombosis (TH) using a cascade strategy that captures both the global context (anatomical structure) and the local detail texture based on the dynamic patch size with ZOZI schemes. The ZOZI-seg model has a two-stage architecture using both a "3D transformer for panoptic context-awareness" and a "3D UNet for localized texture refinement." The unique ZOZI strategies for patching were demonstrated in an ablation study. The performance of our proposed ZOZI-seg model was tested using a dataset from Asan Medical center and compared with those of existing models such as nnUNet and nnFormer. Results: In terms of segmentation accuracy, our method yielded better results, with Dice similarity coefficients (DSCs) of 0.917, 0.882, and 0.630 for TL, FL, and TH, respectively. Furthermore, we indirectly compared our model with those in previous studies using an external dataset to evaluate its robustness and generalizability. Conclusions: This approach may help in the diagnosis and treatment of AD in different clinical situations and provide a strong basis for further research and clinical applications. © 2024 Elsevier Ltd

关键词： Textures

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Effect of silver/zinc co-dopant on enhancing cytotoxicity and antibacterial property of spray pyrolyzed bioactive glasses

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Journal of Asian Ceramic Societies 2024年第1期12卷 104-116页

作者： Ningsih, Henni Setia Vietanti, Frizka Wong, Chin-Chean Chou, Yu-Jen Department of Mechanical Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Orthopedics Taipei Medical University Shuang Ho Hospital New Taipei Taiwan Department of Orthopedics School of Medicine College of Medicine Taipei Medical University Taipei Taiwan Research Center of Biomedical Devices Taipei Medical University Taipei Taiwan International PhD Program for Cell Therapy and Regenerative Medicine College of Medicine Taipei Medical University Taipei Taiwan

Owing to the advancement of bioactive materials, bioactive glasses (BGs) are progressively being recognized as promising choices in fields of bone and tissue engineering with their superior properties such as bioactivity and biocompatibility. However, their applications are limited by the fact that the material itself does not possess antibacterial properties. To address this limitation, antibacterial BGs with silver-zinc co-dopant were proposed and successfully synthesized via the one-step spray pyrolysis technique in this work. The phase composition, chemical composition, surface morphology, and nanoscale structures of the obtained BG specimens were characterized using X-ray diffraction, energy dispersive spectroscopy, scanning electron microscopy, and transmission electron microscopy. Moreover, in-vitro bioactivity was assessed through immersion of the SBF solution, while the in-vitro antibacterial property was examined using Escherichia coli bacteria. Meanwhile, the viability of MC3T3-E1 osteoblast cells was evaluated using the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay. Finally, the results showed positive effects of zinc addition, and the influence of silver and zinc dopants on the in-vitro bioactivity, antibacterial property, and cell viability were discussed. © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group on behalf of The Korean Ceramic Society and The Ceramic Society of Japan.

关键词： Spray pyrolysis

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Phase Aberration Correction with Adaptive Coherence-Weighted Point Spread Function Restoration Filtering Technique

Phase Aberration Correction with Adaptive Coherence-Weighted...

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2023 IEEE International Ultrasonics Symposium, IUS 2023

作者： Shen, Wei-Hsiang Lin, Yu-An Li, Pai-Chi Li, Meng-Lin National Tsing Hua University Department of Electrical Engineering Hsinchu Taiwan National Taiwan University Insitute of Biomedical Electronics and Bioinformatics Institue of Medical Device and Imaging Graduate School of Advanced Technology Department of Electrical Engineering Taipei Taiwan National Tsing Hua University Institute of Photonics Technologies Brain Research Center Department of Electrical Engineering Hsinchu Taiwan

ISBN: (纸本)9798350346459

Phase aberration is an inherent side effect of ultrasound imaging due to the speed of sound inhomogeneity nature of human tissues, resulting in focusing error and reduced image contrast. This work introduces a phase aberration correction technique by leveraging a point spread function (PSF) restoration filter. A convolutional neural network (CNN) is used to estimate phase-aberrated PSFs and design the restoration filter. In addition, we incorporate coherence index weighting, derived from the restoration filtering, to further suppress sidelobe energy. Evaluation using Field II-simulated phantoms showed clearer cyst borders and reduced sidelobe energy leakage after PSF restoration and filter-derived coherence weighting, leading to improvement in image contrast and quality. © 2023 IEEE.

关键词： Optical transfer function

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Integrating multimodal and multiscale data: A new avenue in cancer research

Meta-Radiology

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Meta-Radiology 2024年第2期2卷

作者： Zheng, Hairong Paul C. Lauterbur Research Center for Biomedical Imaging Institute of Biomedical and Health Engineering Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China

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Semilicoisoflavone B induces oral cancer cell apoptosis by targeting claspin and ATR-Chk1 signaling pathways

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Environmental Toxicology 2024年第4期39卷 2417-2428页

作者： Hsieh, Ming-Ju Lin, Chia-Chieh Lo, Yu-Sheng Chuang, Yi-Ching Ho, Hsin-Yu Chen, Mu-Kuan Oral Cancer Research Center Changhua Christian Hospital Changhua Taiwan Doctoral Program in Tissue Engineering and Regenerative Medicine College of Medicine National Chung Hsing University Taichung Taiwan Graduate Institute of Biomedical Sciences China Medical University Taichung Taiwan Department of Otorhinolaryngology Head and Neck Surgery Changhua Christian Hospital Changhua Taiwan Department of Post-Baccalaureate Medicine College of Medicine National Chung Hsing University Taichung Taiwan

The prevalence of oral squamous cell carcinoma (OSCC) is increasing worldwide mainly due to poor oral hygiene and unrestricted lifestyle. Advanced-stage OSCC is associated with poor prognosis and a 5-year survival rate of only 30%–50%. The present study was designed to investigate the anticancer effect and mode of action of Glycyrrhiza-derived semilicoisoflavone B (SFB) in 5-fluorourasil (5FU)-resistant human OSCC cell lines. The study findings revealed that SFB significantly reduces OSCC cell viability and colony formation ability by arresting cell cycle at the G2/M and S phases and reducing the expressions of key cell cycle regulators including cyclin A, cyclin B, CDC2, and CDK2. The compound caused a significant induction in the percentage of nuclear condensation and apoptotic cells in OSCC. Regarding pro-apoptotic mode of action, SFB was found to increase Fas-associated death domain and death receptor 5 expressions and reduce decoy receptor 2 expression, indicating involvement of extrinsic pathway. Moreover, SFB was found to increase pro-apoptotic Bim expression and reduce anti-apoptotic Bcl-2 and Bcl-xL expressions, indicating involvement of intrinsic pathway. Moreover, SFB-mediated induction in cleaved caspases 3, 8, and 9 and cleaved poly(ADP-ribose) polymerase confirmed the induction of caspase-mediated apoptotic pathways. Regarding upstream signaling pathway, SFB was found to reduce extracellular signal regulated kinase 1/2 (ERK) phosphorylation to execute its pro-apoptotic activity. The Human Apoptotic Array findings revealed that SFB suppresses claspin expression, which in turn caused reduced phosphorylation of ATR, checkpoint kinase 1 (Chk1), Wee1, and CDC25C, indicating disruption of ATR-Chk1 signaling pathway by SFB. Taken together, these findings indicate that SFB acts as a potent anticancer compound against 5FU-resistant OSCC by modulating mitogen-activated protein kinase (MAPK) and ATR-Chk1 signaling pathways. © 2024 Wiley Periodicals LLC.

关键词： Phosphorylation

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Uncertainty-Aware Test-Time Adaptation for Inverse Consistent Diffeomorphic Lung Image Registration

Uncertainty-Aware Test-Time Adaptation for Inverse Consisten...

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IEEE International Symposium on biomedical imaging

作者： Muhammad F.A. Chaudhary Stephanie M. Aguilera Arie Nakhmani Joseph M. Reinhardt Surya P. Bhatt Sandeep Bodduluri Center for Lung Analytics and Imaging Research (CLAIR) The University of Alabama at Birmingham Birmingham AL USA The Roy J. Carver Department of Biomedical Engineering The University of Iowa IA USA

ISBN: (数字)9798331520526

ISBN: (纸本)9798331520533

Diffeomorphic deformable image registration ensures smooth invertible transformations across inspiratory and expiratory chest CT scans. Yet, in practice, deep learning-based diffeo-morphic methods struggle to capture large deformations between inspiratory and expiratory volumes, and therefore lack inverse consistency. Existing methods also fail to account for model uncertainty, which can be useful for improving performance. We propose an uncertainty-aware test-time adaptation framework for inverse consistent diffeomorphic lung registration. Our method uses Monte Carlo (MC) dropout to estimate spatial uncertainty that is used to improve model performance. We train and evaluate our method for inspiratory-to-expiratory CT registration on a large cohort of 675 subjects from the COPDGene study, achieving a higher Dice similarity coefficient (DSC) between the lung boundaries (0.966) compared to both VoxelMorph (0.953) and TransMorph (0.953). Our method demonstrates consistent improvements in the inverse registration direction as well with an overall DSC of 0.966, higher than VoxelMorph (0.958) and TransMorph (0.956). Paired t-tests indicate statistically significant improvements.

关键词： Image registration Adaptation models Uncertainty Monte Carlo methods Deformation Lungs Computed tomography biomedical imaging

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A green and efficient strategy facilitates continuous solar-induced steam generation based on tea-assisted synthesis of gold nanoflowers

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Nano research 2022年第7期15卷 6705-6712页

作者： Guoshuai Zhu Gaoxing Jing Guorong Xu Qiang Li Ruijia Huang Feng Li Haoxuan Li Dong Wang Wenwen Chen Ben Zhong Tang Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging School of Biomedical EngineeringShenzhen University Health Science CenterShenzhen 518055China Key Laboratory of Eco-Textiles(Ministry of Education) Nonwoven Technology LaboratoryJiangnan UniversityWuxi 214122China The Institute of Seawater Desalination and Multipurpose Utilization Ministry of Natural Resources(MNR)Tianjin 300192China Centre for AIE Research College of Material Science and EngineeringShenzhen UniversityShenzhen 518055China School of Science and Engineering Shenzhen Key Laboratory of Functional Aggregate MaterialsThe Chinese University of Hong KongShenzhen 518172China

Developing a highly efficient system for solar steam generation(SSG)using a straightforward and eco-friendly method to harvest freshwater is fascinating but ***,we stir the mixture of brewed tea and HAuCl4 to prepare Au nanoflowers,possessing broad wavelength light absorption and excellent photothermal *** freeze-drying the mixture of Au nanoflowers,cellulose nanocrystals(CNCs),and aqueous polyurethane(PU)emulsion,we obtain three-dimensional(3D)porous structures(CNC-PU-Au)for *** whole process does not involve any sophisticated procedure or produce detrimental *** evaporation rates are 2.24 kg·m^(−2)·h^(−1) for pure water and 2.18 kg·m^(−2)·h^(−1) for seawater using CNC-PU-Au under one *** solar energy conversion efficiency is up to 90.92%under one sun ***,CNC-PU-Au shows self-driven salt resistance and *** outdoors application for seawater desalination,the maximum evaporation rate can maintain at 2.19 kg·m^(−2)·h^(−1) in spring and 3.42 kg·m^(−2)·h^(−1) in *** unique features promise the utility of CNC-PU-Au in the ecofriendly water treatment industry.

关键词： Au nanoflowers solar steam generation eco-friendly self-cleaning seawater desalination

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Multitask learning-powered large-volume,rapid photoacoustic microscopy with non-diffracting beams excitation and sparse sampling

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Photonics research 2025年第2期13卷 488-496页

作者： WANGTING ZHOU ZHIYUAN SUN KEZHOU LI JIBAO LV ZHONG JI ZHEN YUAN XUELI CHEN Center for Biomedical-Photonics and Molecular Imaging Advanced Diagnostic-Therapy Technology and Equipment Key Laboratory of Higher Education Institutions in Shaanxi ProvinceSchool of Life Science and TechnologyXidian UniversityXi’an 710126China Engineering Research Center of Molecular and Neuro Imaging Ministry of Education&Xi’an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life InformationSchool of Life Science and TechnologyXidian UniversityXi’an 710126China Innovation Center for Advanced Medical Imaging and Intelligent Medicine Guangzhou Institute of TechnologyXidian UniversityGuangzhou 510555China Faculty of Health Sciences University of MacaoMacao 999078China

Large-volume photoacoustic microscopy(PAM)or rapid PAM has attracted increasing attention in biomedical applications due to its ability to provide detailed structural and functional information on tumor pathophysiology and the neuroimmune ***-diffracting beams,such as Airy beams,offer extended depth-of-field(DoF),while sparse image reconstruction using deep learning enables image recovery for rapid ***,Airy beams often introduce side-lobe artifacts,and achieving both extended DoF and rapid imaging remains a challenge,hindering PAM’s adoption as a routine large-volume and repeatable monitoring *** address these challenges,we developed multitask learning-powered large-volume,rapid photoacoustic microscopy with Airy beams(ML-LR-PAM).This approach integrates advanced software and hardware solutions designed to mitigate side-lobe artifacts and achieve super-resolution *** previous methods that neglect the simultaneous optimization of these aspects,our approach bridges this gap by employing scaled dot-product attention mechanism(SDAM)Wasserstein-based CycleGAN(SW-CycleGAN)for artifact reduction and high-resolution,large-volume *** anticipate that ML-LR-PAM,through this integration,will become a standard tool in both biomedical research and clinical practice.

关键词： image recovery deep learning rapid imaginghoweverairy beams tumor pathophysiology biomedical applications structural functional information airy beamsoffer extended dof

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Application of Transfer Learning for Breast Cancer Diagnosis based on Three-dimensional Ultrasound Images

Application of Transfer Learning for Breast Cancer Diagnosis...

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IEEE International Symposium on Applications of Ferroelectrics (ISAF)

作者： Xinyi Wen Yang Xiao Sijie Chen Weibao Qiu Minhua Lu Xin Chen Yanyan Yu School of Biomedical Engineering Shenzhen University Medical School Shenzhen University Rehabilitation and Health Informatics Center National Innovation Center for Advanced Medical Devices Paul C. Lauterbur Research Center for Biomedical Imaging Shenzhen Institute of Advanced Technology Chinese Academy of Sciences

ISBN: (数字)9798350371901

ISBN: (纸本)9798350371918

Breast cancer represents a significant global health challenge and has emerged as one of the leading threats to human life, particularly among women. However, The process of diagnosing breast cancer is time-consuming, complicated, and susceptible to inaccuracies. The growing incidence of breast cancer highlights the need for enhanced medical imaging, early detection, and innovative treatment strategies to mitigate its impact on public health. In this study, we developed a three-dimensional (3D) deep learning model for the Multiview ultrasound images from 1000 lesions, which were randomly divided into training, validation, and test sets in a 3:1:1 ratio. The diagnostic performance of the proposed 3D model was compared with the 2D model, and the experiment results showed that the 3D model outperformed the two-dimensional (2D) model with AUC 0.946, to 0.875. When combined with ultrasound images, low-aged radiologist whose AUC was increased from 0.755 to 0.860, nearly reached the level of senior radiologist.

关键词： Training Solid modeling Ultrasonic imaging Three-dimensional displays Two-dimensional displays Transfer learning Breast cancer Lesions Public healthcare Frequency control

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