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USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)

作者： Giuseppe Carluccio Christopher M. Collins Riccardo Lattanzi Vincenzo Miranda Daniele Riccio Giuseppe Ruello Department of Radiology Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging New York University School of Medicine New York NY USA Department of Electrical Engineering and Information Technology University of Napoli Federico II Italy

In this paper we present an innovative approach to jointly use analytical and numerical methods to investigate the effects of high permittivity helmets in magnetic resonance scanners. The proposed methodology and the obtained results provide an increased comprehension of the field-sample interaction that can be fruitfully used to support the design of dielectric helmets in magnetic resonance imaging.

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An osteosarcoma-on-a-chip model for studying osteosarcoma matrix-cell interactions and drug responses

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Bioactive Materials 2024年第4期34卷 1-16页

作者： Zuyan Lu XiangWan Miao Chenyu Zhang Binbin Sun Aleksander Skardal Anthony Atala Songtao Ai JiaNing Gong Yongqiang Hao Jie Zhao Kerong Dai Shanghai Key Laboratory of Orthopedic Implants Department of Orthopedic SurgeryShanghai Ninth People’s HospitalShanghai Jiao Tong University School of MedicineShanghaiChina Wake Forest Institute for Regenerative Medicine Wake Forest University Health SciencesWinston-SalemNorth CarolinaUSA Department of Biomedical Engineering The Ohio State UniversityColumbusOHUSA Department of Radiology Shanghai Ninth People’s HospitalShanghai Jiao Tong University School of MedicineShanghaiChina Key Laboratory of Smart Drug Delivery Ministry of EducationSchool of PharmacyFudan UniversityShanghaiChina Clinical and Translational Research Center for 3D Printing Technology Shanghai Ninth People’s HospitalShanghai Jiao Tong University School of MedicineShanghaiChina Shanghai Frontiers Science Center of Degeneration and Regeneration in Skeletal System ShanghaiChina

Marrow niches in osteosarcoma(OS)are a specialized microenvironment that is essential for the maintenance and regulation of OS ***,existing animal xenograft models are plagued by variability,complexity,and high ***,we used a decellularized osteosarcoma extracellular matrix(dOsEM)loaded with extracellular vesicles from human bone marrow-derived stem cells(hBMSC-EVs)and OS cells as a bioink to construct a micro-osteosarcoma(micro-OS)through 3D *** micro-OS was further combined with a microfluidic system to develop into an OS-on-a-chip(OOC)with a built-in recirculating perfusion *** OOC system successfully integrated bone marrow niches,cell‒cell and cell-matrix crosstalk,and circulation,allowing a more accurate representation of OS characteristics in ***,the OOC system may serve as a valuable research platform for studying OS biological mechanisms compared with traditional xenograft models and is expected to enable precise and rapid evaluation and consequently more effective and comprehensive treatments for OS.

关键词： 3D printing Osteosarcoma-on-a-chip Organ-on-a-chip Bone marrow niches

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Resilient water quality management: Insights from Japan's environmental quality standards for conserving aquatic life framework

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Environmental Science and Ecotechnology 2024年第6期22卷 93-108页

作者： Zihan Xu Ying Wang Li Xie Di Shi Jia He Yanqing Chen Chenglian Feng John P.Giesy Kenneth M.Y.Leung Fengchang Wu College of Water Sciences Beijing Normal UniversityBeijing100875China State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental SciencesBeijing100012China School of Materials Science and Engineering Beihang UniversityBeijing100191China Department of Civil Engineering Nagoya Institute of Technology(Nitech)Nagoya4668555Japan Research&Development Affairs Office Tsinghua UniversityBeijing100084China Department of Veterinary Biomedical Sciences and Toxicology Centre University of SaskatchewanSaskatoonSaskatchewanS7N 5B3Canada Department of Integrative Biology and Center for Integrative Toxicology Michigan State UniversityEast LansingMI48895USA Department of Environmental Sciences Baylor UniversityWacoTX76798-7266USA State Key Laboratory of Marine Pollution and Department of Chemistry City University of Hong KongHong Kong999077China

Currently,chemicals and waste are recognized as key drivers of habitat degradation and biodiversity loss in aquatic *** ensure vibrant habitats for aquatic species and maintain a sustainable aquatic food supply system,Japan promulgated its Environmental Quality Standards for the Conservation of Aquatic Life(EQS-CAL),based on its own aquatic life water quality criteria(ALWQC)derivation method and application *** we overview Japan's EQS-CAL framework and highlight their best practices by examining the framework systems and related *** experiences from Japan's EQS-CAL system include:(1)Classifying six types of aquatic organisms according to their adaptability to habitat status;(2)Using a risk-based chemical screening system for three groups of chemical pollutants;(3)Recommending a five-step method for determining ALWQC values based on the most sensitive life stage of the most sensitive species;(4)Applying site-specific implementation mechanisms through a series of Plan-Do-Check-Act *** paper offers scientific references for other jurisdictions,aiding in the development of more resilient ALWQC systems that can maintain healthy environments for aquatic life and potentially mitigate ongoing threats to human societies and global aquatic biodiversity.

关键词： Aquatic life water quality criteria Chemicals Framework Resilient systems Species adaptability

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Evaluation criteria for musculoskeletal and craniofacial tissue engineering constructs: A conference report

Evaluation criteria for musculoskeletal and craniofacial tis...

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作者： Butler, David L. Lewis, Jack L. Frank, Cyril B. Banes, Albert J. Caplan, Arnold I. De Deyne, Patrick G. Dowling, Mary-Ann Fleming, Braden C. Glowacki, Julie Guldberg, Robert E. Johnstone, Brian Kaplan, David L. Levenston, Marc E. Lotz, Jeffrey C. Ed, Yiling Lu Lumelsky, Nadya Mao, Jeremy J. Mauck, Robert L. McDevitt, Cahir A. Mejia, Lito C. Murray, Martha Ratcliffe, Anthony Spindler, Kurt P. Tashman, Scott Wagner, Christopher T. Weisberg, Elijah M. Williams, Chrysanthi Zhang, Renwen Department of Biomedical Engineering University of Cincinnati 840 Engineering Research Center 2901 Woodside Drive Cincinnati OH 45221-0048 United States Department of Biomedical Engineering University of Cincinnati Cincinnati OH United States Department of Orthopaedic Surgery University of Minnesota Minneapolis MN United States Division of Orthopaedic Surgery Department of Surgery University of Calgary Calgary AB Canada Joint Department of Biomedical Engineering University of North Carolina Raleigh NC United States Flexcell International Corp. Department of Biology Case Western Reserve University Cleveland OH United States Preclinical Biology Johnson and Johnson Regenerative Therapeutics Raynham MA United States Smith and Nephew Research Centre York United Kingdom Department of Orthopaedic Surgery Brown University Providence RI United States Departments of Orthopedic Surgery and Oral and Maxillofacial Surgery Harvard Schools of Medicine and Dental Medicine Boston MA United States George W. Woodruff School of Mechanical Engineering Georgia Institute of Technology Atlanta GA United States Department of Orthopaedics and Rehabilitation Oregon Health and Science University Portland OR United States Department of Biomedical Engineering Tufts University Medford MA United States Department of Mechanical Engineering Stanford University Stanford CA United States Department of Orthopaedic Surgery University of California San Francisco San Francisco CA United States Johnson and Johnson Regenerative Therapeutics Raynham MA United States Tissue Engineering and Dental and Craniofacial Regenerative Medicine Research Program National Institute of Dental and Craniofacial Research Bethesda MD United States Columbia University New York NY United States Department of Orthopaedic Surgery University of Pennsylvania Philadelphia PA United States Department of Biomedical Engineering Cleveland Clinic Foundation Cleveland OH United States Bose Corporation Ed

Over the past 20 years, tissue engineering (TE) has evolved into a thriving research and commercial development field. However, applying TE strategies to musculoskeletal (MSK) and craniofacial tissues has been particularly challenging since these tissues must also transmit loads during activities of daily living. To address this need, organizers invited a small group of bioengineers, surgeons, biologists, and material scientists from academia, industry, and government to participate in a 21/2-day conference to develop general and tissue-specific criteria for evaluating new concepts and tissue-engineered constructs, including threshold values of success. Participants were assigned to four breakout groups representing commonly injured tissues, including tendon and ligament, articular cartilage, meniscus and temporomandibular joint, and bone and intervertebral disc. Working in multidisciplinary teams, participants first carefully defined one or two important unmet clinical needs for each tissue type, including current standards of care and the potential impact of TE solutions. The groups then sought to identify important parameters for evaluating repair outcomes in preclinical studies and to specify minimally acceptable values for these parameters. The importance of in vitro TE studies was then discussed in the context of these preclinical studies. Where data were not currently available from clinical, preclinical, or culture studies, the groups sought to identify important areas of preclinical research needed to speed the development process. This report summarizes the findings of the conference. © Copyright 2008, Mary Ann Liebert, Inc.

关键词： Tissue engineering

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Current perspectives on mesenchymal stem cells as a potential therapeutic strategy for non-alcoholic fatty liver disease

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World Journal of Stem Cells 2024年第7期16卷 760-772页

作者： Yan Jiang Narazah Mohd Yusoff Jiang Du Emmanuel Jairaj Moses Jun-Tang Lin School of Nursing Xinxiang Medical UniversityXinxiang 453000Henan ProvinceChina Department of Biomedical Sciences Advanced Medical and Dental InstituteUniversiti Sains MalaysiaKepala Batas 13200Pulau PinangMalaysia Advanced Medical and Dental Institute Universiti Sains MalaysiaKepala Batas 13200Pulau PinangMalaysia Henan Joint International Research Laboratory of Stem Cell Medicine School of Medical EngineeringXinxiang Medical UniversityXinxiang 453003Henan ProvinceChina Stem Cells and Biotherapy Engineering Research Center of Henan National Joint Engineering Laboratory of Stem Cells and BiotherapySchool of Life Science and TechnologyXinxiang Medical UniversityXinxiang 453003Henan ProvinceChina Henan Joint International Research Laboratory of Stem Cell Medicine School of Medical EngineeringXinxiang Medical UniversityXinxiang 453000Henan ProvinceChina

Non-alcoholic fatty liver disease(NAFLD)has emerged as a significant health challenge,characterized by its widespread prevalence,intricate natural progression and multifaceted *** NAFLD initially presents as benign fat accumulation,it may progress to steatosis,non-alcoholic steatohepatitis,cirrhosis,and hepatocellular *** stem cells(MSCs)are recognized for their intrinsic self-renewal,superior biocompatibility,and minimal immunogenicity,positioning them as a therapeutic innovation for liver ***,this review aims to elucidate the potential roles of MSCs in alleviating the progression of NAFLD by alteration of underlying molecular pathways,including glycolipid metabolism,inflammation,oxidative stress,endoplasmic reticulum stress,and *** insights are expected to provide further understanding of the potential of MSCs in NAFLD therapeutics,and support the development of MSC-based therapy in the treatment of NAFLD.

关键词： Non-alcoholic induced fatty liver disease Mesenchymal stem cells Lipid accumulation Inflammation Oxidative stress Endoplasmic reticulum stress Fibrosis

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Encoding Enhanced Complex CNN for Accurate and Highly Accelerated MRI

arXiv

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arXiv 2023年

作者： Li, Zimeng Xiao, Sa Wang, Cheng Li, Haidong Zhao, Xiuchao Duan, Caohui Zhou, Qian Rao, Qiuchen Fang, Yuan Xie, Junshuai Shi, Lei Guo, Fumin Ye, Chaohui Zhou, Xin The State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics National Center for Magnetic Resonance in Wuhan Wuhan Institute of Physics and Mathematics Innovation Academy for Precision Measurement Science and Technology Chinese Academy of Sciences Wuhan National Laboratory for Optoelectronics Wuhan430071 China School of Physics Huazhong University of Science and Technology Wuhan430074 China The University of Chinese Academy of Sciences Beijing100049 China Wuhan National Laboratory for Optoelectronics Department of Biomedical Engineering Huazhong University of Science and Technology Wuhan430074 China Key Laboratory of Biomedical Engineering of Hainan Province School of Biomedical Engineering Hainan University Haikou570228 China

Magnetic resonance imaging (MRI) using hyperpolarized noble gases provides a way to visualize the structure and function of human lung, but the long imaging time limits its broad research and clinical applications. Deep learning has demonstrated great potential for accelerating MRI by reconstructing images from undersampled data. However, most existing deep conventional neural networks (CNN) directly apply square convolution to k-space data without considering the inherent properties of k-space sampling, limiting k-space learning efficiency and image reconstruction quality. In this work, we propose an encoding enhanced (EN2) complex CNN for highly undersampled pulmonary MRI reconstruction. EN2 employs convolution along either the frequency or phase-encoding direction, resembling the mechanisms of k-space sampling, to maximize the utilization of the encoding correlation and integrity within a row or column of k-space. We also employ complex convolution to learn rich representations from the complex k-space data. In addition, we develop a feature-strengthened modularized unit to further boost the reconstruction performance. Experiments demonstrate that our approach can accurately reconstruct hyperpolarized 129Xe and 1H lung MRI from 6-fold undersampled k-space data and provide lung function measurements with minimal biases compared with fully-sampled images. These results demonstrate the effectiveness of the proposed algorithmic components and indicate that the proposed approach could be used for accelerated pulmonary MRI in research and clinical lung disease patient care. Copyright © 2023, The Authors. All rights reserved.

关键词： Magnetic resonance imaging

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Ultra-high spatial resolution BOLD fMRI in humans using combined segmented-accelerated VFA-FLEET with a recursive RF pulse design

arXiv

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arXiv 2020年

作者： Berman, Avery J.L. Grissom, William A. Witzel, Thomas Nasr, Shahin Park, Daniel J. Setsompop, Kawin Polimeni, Jonathan R. Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital CharlestownMA United States Department of Radiology Harvard Medical School BostonMA United States Vanderbilt University Institute of Imaging Science NashvilleTN United States Department of Biomedical Engineering Vanderbilt University NashvilleTN United States Harvard-MIT Division of Health Sciences and Technology Massachusetts Institute of Technology CambridgeMA United States

Purpose To alleviate the spatial encoding limitations of single-shot EPI by developing multi-shot segmented EPI for ultra-high-resolution fMRI with reduced ghosting artifacts from subject motion and respiration. Methods Segmented EPI can reduce readout duration and reduce acceleration factors, however, the time elapsed between segment acquisitions (on the order of seconds) can result in intermittent ghosting, limiting its use for fMRI. Here, "FLEET" segment ordering—where segments are looped over before slices—was combined with a variable flip angle progression (VFA-FLEET) to improve inter-segment fidelity and maximize signal for fMRI. Scaling a sinc pulse’s flip angle for each segment (VFA-FLEET-Sinc) produced inconsistent slice profiles and ghosting, therefore, a recursive Shinnar-Le Roux (SLR) RF pulse design was developed (VFA-FLEETSLR) to generate unique pulses for every segment that together produce consistent slice profiles and signals. Results The temporal stability of VFA-FLEET-SLR was compared against conventionalsegmented EPI and VFA-FLEET-Sinc at 3 T and 7 T. VFA-FLEET-SLR showed reductions in both intermittent and stable ghosting compared to conventional-segmented and VFA-FLEETSinc, resulting in improved image quality with a minor trade-off in temporal SNR. Combining VFA-FLEET-SLR with acceleration, we achieved a 0.6-mm isotropic acquisition at 7 T—without zoomed imaging or partial Fourier—demonstrating reliable detection of BOLD responses to a visual stimulus. To counteract the increased repetition time from segmentation, simultaneous multi-slice VFA-FLEET-SLR was demonstrated using RF-encoded controlled aliasing. Conclusions 3 VFA-FLEET with a recursive RF pulse design supports acquisitions with low levels of artifact and spatial blur, enabling fMRI at previously inaccessible spatial resolutions with a "fullbrain" field of view. Copyright © 2020, The Authors. All rights reserved.

关键词： Image resolution

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Hierarchical Evolutionary Ensemble of Multiple Classifiers

SSRN

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SSRN 2023年

作者： Liang, Fangrong Mo, Tianlan Wang, Linjing Tang, Peng Zhen, Xin Department of Radiology The Second Affiliated Hospital School of Medicine South China University of Technology Guangzhou510180 China Department of Radiotherapy Center Affiliated Dongguan People's Hospital Southern Medical University Dongguan523108 China Department of Radiotherapy Center Affiliated Cancer Hospital and Institute of Guangzhou Medical University Guangzhou510095 China School of Biomedical Engineering and Informatics Nanjing Medical University Nanjing211166 China School of Biomedical Engineering Southern Medical University Guangzhou510515 China

Classifier diversity and accuracy, as well as an effective fusion architecture, are essential for building a successful ensemble system. In this study, we devised a hierarchical evolutionary ensemble framework, namely, HEE, for the aggregation of homogeneous and heterogeneous classifiers. In the HEE, a tree-like homogeneous-heterogeneous classifier architecture was established by feeding miscellaneous heterogeneous classifiers with genetically encoded diversified training datasets. A decision profile fusion incorporating class structural information of the training observations was employed to aggregate the homogeneous-heterogeneous classifiers in a hierarchical manner, guided by maximization of both diversity and accuracy within an evolutionary optimization framework. The proposed HEE was comprehensively evaluated on twenty-five UCI datasets. The experimental results have demonstrated the superiority of this framework over state-of-the-art baseline ensemble methods, verifying it as a practical and effective paradigm for the homogeneous-heterogeneous classifiers ensemble. © 2023, The Authors. All rights reserved.

关键词： Optimization

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32nd International Austrian Winter Symposium Zell am See, the Netherlands. 20-23 January 2016 Abstracts

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EJNMMI RESEARCH 2016年第SUPPL 1期6卷 1-18页

作者： [Anonymous] PET - CT Center Linz & Department of Nuclear Medicine & Endocrinology St Vincent's Hospital Linz Austria. PET-CT Center Linz Department of Nuclear Medicine & Endocrinology St Vincent's Hospital Linz Austria. Prostate Cancer Center Linz Department of Urology St Vincent's Hospital Linz Austria. Department of Radiation Oncology St Vincent's Hospital Linz Austria. Department of Radiology St Vincent's Hospital Linz Austria. Department of Nuclear Medicine and Endocrinology Paracelsus Private Medical University Salzburg St Vincent's Hospital Linz Austria. Department of Surgery St Vincent's Hospital Linz Austria. Department of Pathology St Vincent's Hospital Linz Austria. Department of Nuclear Medicine and Endocrinology University Hospital Salzburg Paracelsus Private Medical University Salzburg ᅟ Germany. Department of Biomedical Imaging and Image-guided Therapy Medical University of Vienna Vienna Austria. Medical University of Vienna Division of General and Pediatric Radiology Vienna Austria. Medical University of Vienna Institute of Pathology Vienna Austria. Medical University Vienna Division of Surgical Endocrinology Vienna Austria. Department of Biomedical Imaging and Image-guided Therapy Division of Nuclear Medicine Medical University of Vienna ᅟ Austria. Center for Medical Physics and Biomedical Engineering Medical University of Vienna ᅟ Austria. Department of Nuclear Medicine University of Würzburg ᅟ Germany. Department of Molecular and Medical Pharmacology UCLA ᅟ USA. Center for Medical Physics and Biomedical Engineering Medical University of Vienna Vienna Austria. Department of Nutritional Sciences University of Vienna ᅟ Austria. Division of General and Pediatric Radiology Department of Biomedical Imaging and Image-guided Therapy Medical University of Vienna ᅟ Austria. Wright Center of Innovation in Biomedical Imaging The Ohio State University Columbus OH USA. Sports Medicine The Ohio State University Columbus OH USA. Sports Medicine Pepp

A1 68Ga-PSMA PET/CT in staging and restaging of Prostate Cancer Patients: comparative study with 18F-Choline PET/CTW Langsteger, A Rezaee, W Loidl, HS Geinitz, F Fitz, M Steinmair, G Broinger, L Pallwien-Prettner, M BeheshtiA2 F18 Choline PET - CT: an accurate diagnostic tool for the detection of parathyroid adenoma?L Imamovic, M Beheshti, G Rendl, D Hackl, O Tsybrovsky, M Steinmair, K Emmanuel, F Moinfar, C Pirich, W LangstegerA3 [18F]Fluoro-DOPA-PET/CT in the primary diagnosis of medullary thyroid carcinomaA Bytyqi, G Karanikas, M Mayerhöfer, O Koperek, B Niederle, M HartenbachA4 Variations of clinical PET/MR operations: An international survey on the clinical utilization of PET/MRIT Beyer, K Herrmann, J CzerninA5 Standard Dixon-based attenuation correction in combined PET/MRI: Reproducibility and the possibility of Lean body mass estimationI Rausch, P Rust, MD DiFranco, M Lassen, A Stadlbauer, ME Mayerhöfer, M Hartenbach, M Hacker, T BeyerA6 High resolution digital FDG PET/MRI imaging for assessment of ACL graft viabilityK Binzel, R Magnussen, W Wei, MU Knopp, DC Flanigan, C Kaeding, MV KnoppA7 Using pre-existing hematotoxicity as predictor for severe side effects and number of treatment cycles of Xofigo therapyA Leisser, M Nejabat, M Hartenbach, G Kramer, M Krainer, M Hacker, A HaugA8 QDOSE - comprehensive software solution for internal dose assessmentWencke Lehnert, Karl Schmidt, Sharok Kimiaei, Marcus Bronzel, Andreas KlugeA9 Clinical impact of Time-of-Flight on next-generation digital PET imaging of Yttrium-90 radioactivity following liver radioembolizationCL Wright, K Binzel, J Zhang, Evan Wuthrick, Piotr Maniawski, MV KnoppA10 Snakes in patients! Lessons learned from programming active contours for automated organ segmentationM Blaickner, E Rados, A Huber, M Dulovits, H Kulkarni, S Wiessalla, C Schuchardt, RP Baum, B Knäusl, D GeorgA11 Influence of a genetic polymorphism on brain uptake of the dual ABCB1/ABCG2 substrate [11C]tariquidarM Bauer, B Wulkersdorf

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Atherosclerotic plaque characterization using geometrical features from virtual histology intravascular ultrasound images

Atherosclerotic plaque characterization using geometrical fe...

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IEEE EMBS International Conference on Information technology Applications in Biomedicine (ITAB)

作者： L.S. Athanasiou P.S. Karvelis V.D. Tsakanikas K.A. Stefanou K.K. Naka L.K. Michalis G.A. Rigas D.I. Fotiadis Unit of Medical Technology and Intelligent Information Systems Department of Materials Science and Engineering University of Ioannina (UoI) Greece Biomedical Research Institute-FORTH Ioannina Greece Michaelideion Cardiac Center Department of Cardiology in Medical School University of Ioannina (UoI) Ioannina Greece

Intravascular ultrasound imaging (IVUS) is a diagnostic imaging technique which provides two-dimensional (2-D) tomographic views of the coronary lumen and outer vessel wall. Virtual Histology (VH) provides a color-coded plaque characterization which employs the radiofrequency (RF) data from the catheter. The aim of this study is to extract a set of features from IVUS images and to use them in the detection of various plaque components. Intensity features, texture based features and two novel geometrical features are employed in a Random Forests classification algorithm. The first geometrical feature describes the relative position of each pixel from the media-adventitia border and the second the relative position from the media-adventitia and the lumen border. The plaque components are classified into four plaque types: Dense Calcium, Fibrotic Tissue, Fibro-Fatty Tissue and Necrotic Core. We use 300 IVUS frames acquired from Virtual Histology exams from 10 patients to evaluate our methodology. The two geometrical features improved the atherosclerotic plaque classification in terms of overall accuracy, sensitivity and specificity. Using the geometrical features an overall classification accuracy 84.45% is reported.

关键词： Medical services

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