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7th International Conference on Medical and Health Informatics, ICMHI 2023

作者： Ritlumlert, Napat Wongwattananard, Siriporn Prayongrat, Anussara Kitpanit, Sarin Kannarunimit, Danita Chakkabat, Chakkapong Lertbutsayanukul, Chawalit Sriswasdi, Sira Rakvongthai, Yothin Department of Radiology Chulalongkorn University Biomedical Imaging Group Department of Radiology Faculty of Medicine Chulalongkorn University Bangkok Thailand Biomedical Engineering Program Faculty of Engineering Chulalongkorn University Bangkok Thailand Department of Radiology Division of Radiation Oncology King Chulalongkorn Memorial Hospital Bangkok Thailand Research Affairs Faculty of Medicine Chulalongkorn University Bangkok Thailand Center for Artificial Intelligence in Medicine Faculty of Medicine Chulalongkorn University Bangkok Thailand

ISBN: (纸本)9798400700712

Hypothyroidism after treatment is the late-effect complication of head and neck radiotherapy. Early detection can greatly reduce hypothyroidism. The objective of this study is to enhance the prediction of hypothyroidism from radiation treatment in nasopharyngeal cancer by using CT image-based biomarkers. We collected data from 220 patients with nasopharyngeal carcinoma who underwent CT before radiation therapy. Manual thyroid segmentation was performed on CT images. To create a prediction model using logistic regression with regularization, image characteristics were quantified and extracted into three groups: the shape-based group, the first-order statistics group, and the texture-based group. Combined with the clinical data, the combined model received the best results in terms of the area under the receiver operating characteristics curve (AUC) of 0.73 ± 0.07, precision of 0.65 ± 0.08, recall rate of 0.62 ± 0.12, F1-score of 0.63 ± 0.08, and accuracy of 0.65 ± 0.07. The TSH level and seven texture features - glrlm short run emphasis, glrlm run entropy, glrlm gray level non-uniformity normalized, glszm big area low gray level emphasis, gldm dependence non-uniformity, ngtdm coarseness, and ngtdm complexity - were the key predictors from the combined model. In conclusion, the pretreatment thyroid image contains useful information which showed potential for improving the prediction of hypothyroidism after nasopharyngeal radiotherapy. © 2023 ACM.

关键词： Radiotherapy

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FPGA-Based Single-Input Time-to-Digital Converter with Rise Time Correction and Sub-2 ps Resolution for Precision Timing Applications

FPGA-Based Single-Input Time-to-Digital Converter with Rise ...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： D. Lee M. Yi S.I. Kwon Biomedical Engineering University of California Davis Davis California United States of America Seoul National University Interdisciplinary Program in Bioengineering College of Engineering Seoul Republic of Korea

ISBN: (数字)9798350388152

ISBN: (纸本)9798350388169

In numerous fields, including physics, industry, and medical technology, the precise measurement of extremely short time intervals, such as those below 100 ps, is essential. This research introduces an innovative FPGA-based time-to-digital converter (TDC) implemented on the UltraScale+ platform (VCU118, Xilinx). The UltraScale+ platform improves upon timing resolution by incorporating a CARRY8 primitive cell as a delay element, an improvement over the CARRY4, which was widely used in previous platforms. Through the novel end-of-propagation (EOP) technique, the implemented TDC achieves an average bin size of 1.11 ps, demonstrating significant resource efficiency compared to other reported FPGA-based TDCs. This study details the design, implementation, and empirical validation of the TDC. Additionally, a unique feature of the proposed TDC is its ability to measure the input pulse width and apply rise time correction without requiring additional inputs. To demonstrate its practical applicability, the developed TDC was connected to the output of an ultrafast Cherenkov-Radiator-Integrated (CRI)-MCP-PMT after evaluating its electrical performance. The preliminary coincidence timing resolution of a pair of CRI-MCP-PMTs shows improvements from 107 ps to 73 ps (FWHM) with the proposed rise time correction. These advancements highlight the potential of the TDC not only for next-generation medical applications but also for its transformative impact in applications demanding ultra-precise timing.

关键词： Industries Semiconductor device measurement Microwave integrated circuits Image resolution Semiconductor detectors Pulse measurements Medical services

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Slit-Wall Differentiation Method for Depth-of-Interaction Measurement for PET

Slit-Wall Differentiation Method for Depth-of-Interaction Me...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： D. Lee H. Hemmati M. Yi S.I. Kwon University of California Davis Biomedical Engineering Davis California United States of America Seoul National University Interdisciplinary Program in Bioengineering College of Engineering Seoul Republic of Korea

ISBN: (数字)9798350388152

ISBN: (纸本)9798350388169

In positron emission tomography (PET), accurately measuring the Depth-of-Interaction (DOI) of 511 keV gamma ray interactions is essential for improving spatial resolution in small animal PET, especially at off-center detector positions. DOI resolution can be improved by modifying crystal structures, reflectors, or by using dual readout techniques. Most methods, except for the more electronics-intensive dual side readout, increase light sharing among pixels, thereby reducing photon availability per pixel. This study introduces a novel Slit-Wall Differentiation (SWD) method, designed to restrict light sharing to just four adjacent pixels, thus enhancing DOI accuracy. The SWD method involves placing strategic slits on the adjacent faces of each pixel, controlling light sharing depending on the DOI position. DOI information is calculated from the output patterns of Silicon Photomultiplier (SiPM) arrays. The effectiveness of the proposed method was validated through GATE simulations (vGATE 9.2) using a $3 \times 3$ Lutetium-Yttrium Oxyorthosilicate (LYSO) array with enhanced specular reflectors (ESRs). An LYSO array fabricated based on the proposed configuration was successfully prepared. For practical validation, an experimental setup using a 4 $\times 4$ NUV-HD-MT (Broadcom) SiPM array is also configured.

关键词： Temperature measurement Photomultipliers Semiconductor device measurement Semiconductor detectors Position measurement Silicon Positron emission tomography

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Wave (from) Polarized Light Learning (WPLL) method: high resolution spatio-temporal measurements of water surface waves in laboratory setups

arXiv

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arXiv 2024年

作者： Ginio, Noam Lindenbaum, Michael Fishbain, Barak Liberzon, Dan Faculty of Civil and Environmental Engineering Technion Haifa320003 Israel Faculty of Computer Science Technion Haifa320003 Israel Interdisciplinary program for Marine Engineering Technion Haifa Israel

Effective spatio-temporal measurements of water surface elevation (water waves) in laboratory experiments are essential for scientific and engineering research. Existing techniques are often cumbersome, computationally heavy and generally suffer from limited wavenumber/frequency response. To address this challenge, we propose the Wave (from) Polarized Light Learning (WPLL), a learning based remote sensing method for laboratory implementation, capable of inferring surface elevation and slope maps in high resolution. The method uses the polarization properties of the light reflected from the water surface. The WPLL uses a deep neural network (DNN) model that approximates the water surface slopes from the polarized light intensities. Once trained on simple monochromatic wave trains, the WPLL is capable of producing high-resolution and accurate reconstruction of the 2D water surface slopes and elevation in a variety of irregular wave fields. The method’s robustness is demonstrated by showcasing its high wavenumber/frequency response, its ability to reconstruct wave fields propagating in arbitrary angles relative to the camera optical axis, and its computational efficiency. This developed methodology is an accurate and cost-effective near-real time remote sensing tool for laboratory water surface waves measurements, setting the path for upscaling to open sea application for research, monitoring, and short-time forecasting. © 2024, CC BY-NC-ND.

关键词： Deep neural networks

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Systematic designs of single metal compounds synthesized using ammonia fluoride-based complex as structure directing agents for energy storage

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Journal of Colloid and Interface Science 2023年第PartA期652卷 294-304页

作者： Kuo, Tsung-Rong Zher Yu, You Wu, Chung-Hsien Lee, Pin-Yan Kongvarhodom, Chutima Chen, Hung-Ming Husain, Sadang Yougbaré, Sibidou Lin, Lu-Yin International PhD Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Graduate Institute of Nanomedicine and Medical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei Taiwan Department of Chemical Engineering King Mongkut's University of Technology Thonburi 126 Pracha-u-thit Toong-kru Bangkok10140 Thailand Gingen technology Co. LTD. Rm. 7 10F. No.189 Sec. 2 Keelung Rd. Xinyi Dist. Taipei11054 Taiwan Department of Physics Faculty of Mathematics and Natural Science Lambung Mangkurat University Banjarmasin70124 Indonesia /Nanoro 03 B.P 7192 Ouagadougou 03 Burkina Faso

Tailoring morphology and composition of metal organic frameworks (MOF) can improve energy storage by establishing high surface area, large porosity and multiple redox states. Structure directing agents (SDA) is functional of designing surface properties of electroactive materials. Ammonium fluoride has functional abilities for designing MOF derivatives with excellent energy storage abilities. Systematic design of MOF derivatives using ammonia fluoride-based complex as SDA can essentially create efficient electroactive materials. Metal species can also play significant roles on redox reactions, which are the main energy storage mechanism for battery-type electrodes. In this work, 2-methylimidazole, two novel SDAs of NH4BF4 and NH4HF2, and six metal species of Al, Mn, Co, Ni, Cu and Zn are coupled to synthesize MOF derivatives for energy storage. Metal species-dependent compositions including hydroxides, oxides, and hydroxide nitrates are observed. The nickel-based derivative (Ni-HBF) shows the highest specific capacitance (CF) of 698.0F/g at 20 mV/s, due to multiple redox states and advanced flower-like surface properties. The diffusion and capacitive-control contributions of MOF derivatives are also analyzed. The battery supercapacitor hybrid with Ni-HBF electrode shows a maximum energy density of 27.9 Wh/kg at 325 W/kg. The CF retention of 170.9% and Coulombic efficiency of 93.2% are achieved after 10,000 cycles. © 2023 Elsevier Inc.

关键词： Supercapacitor

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Adaptive Neuro-Fuzzy Inference System As New Real-Time Approach for Parkinson Seizures Prediction 4

Adaptive Neuro-Fuzzy Inference System As New Real-Time Appro...

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4th International Conference on Bio-engineering for Smart Technologies, BioSMART 2021

作者： Daher, Alaa Yassin, Sally Alsamra, Hadi Ali, Hassan Abou Beirut Arab University Biomedical Engineering Program Faculty of Engineering Electrical and Computer Engineering Department Debbieh Lebanon

ISBN: (纸本)9781665408103

Parkinson's disease, as a definition, is a neurological condition that affects the brain and causes tremors, stiffness, and difficulties walking, balancing, and coordinating. Symptoms of Parkinson's disease normally appear gradually and worsen with time. People with Parkinson's disease may have difficulties walking and speaking as the condition develops. Numerous recent studies have shown a direct association between Parkinson's disease and the incident of having epileptic seizures, which is defined to be a burst of the uncontrollable electrical activity of the brain cells, that is associated with an increased risk of sudden unexplained deaths. This project aims to obtain a real-time seizure prediction system for Parkinson's disease patients based on the electroencephalogram (EEG) signals, enabling the detection of a seizure before it happens. This will hopefully save them from risky situations or sudden death, as they will be alerted and have the time enabling them to be prepared and take the needed precautions and steps to prevent the seizure from happening. For this project, we've used the Neural Network and the ANFIS ('udaptive neuro-fuzzy inference system '') to process and analyze the electroencephalogram (EEG) data signals of the Parkinson patients to detect seizures starting point. © 2021 IEEE.

关键词： Brain

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Dry-season sources of riverine sediment from the tropical mixed urban-agricultural watershed of the Mun River Basin in northeastern Thailand

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International Journal of Sediment Research 2023年第2期38卷 240-252页

作者： Arika Bridhikitti Thayukorn Prabamroong Gaohuan Liu Environmental Engineering and Disaster Management Program School of Interdisciplinary Studies Mahidol University Kanchanaburi Campus Earth Science Research Center Mahidol University Kanchanaburi Campus Faculty of Environment and Resource Studies Mahasarakham University State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences

Northeastern(NE) Thailand is well recognized as the land for rice cropping and consequently, it is potentially contaminated with chemicals from soil fertilization, pest/weed control, and urban *** Mun River basin in NE Thailand principally is comprised of rice paddies and sedimentation in the river has been pronounced, but the studies on sediment source identification are limited. The current study aims to identify sediment sources in the Mun River basin and discuss possible impacts on ecosystems attributed to exposure to polluted sediment. The assessment relies upon physicochemical properties and heavy metal contents(iron(Fe), manganese(Mn), copper(Cu), chromium(Cr), nickel(Ni),and Zinc(Zn)) in the fine-grained sediment(<63 μm) taken from the Mun River basin and the Chi River in the dry season of 2020-2021. The findings revealed that the heavy metals in the sediment had not accumulated to levels of concern. Most sediment was from natural sources, including Fe-and Mn-rich sediment, Cr-dominant sediment, and Ni-and Cu-rich sediment. Fe-and Zn-rich sediment was, however, found in the urban watershed of Lam Ta Klong, and it could originate from mixed urban sources. Ferich sediment was predominant in the Mun River basin, which and could be a significant sink and source of toxic elements from agricultural and urban discharges. It is suggested that the toxic compounds in the sediment should be consistently monitored, whereas ecological and health risk assessment should be focused on the mobile forms.

关键词： Sediment Heavy metals Mun River Lower Mekong River Agriculture

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Development of Inkjet-Printed PEDOT:PSS-Based Organic Electrochemical Transistor (OECT) for Biopotential Amplification

Development of Inkjet-Printed PEDOT:PSS-Based Organic Electr...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Fadi C. Khoury Sahera A. Saleh Zeina S. Habli Massoud L. Khraiche Neural Engineering and Nanobiosensors Group Biomedical Engineering Program Maroun Semaan Faculty of Engineering and Architecture American University of Beirut Lebanon

With the ever-increasing need for miniaturized and biocompatible devices for physiological recordings, high signal fidelity and ease of fabrication are key to achieve reliable data collection. This calls for the development of active recording devices such as Organic Electrochemical Transistors (OECTs) which, compared to passive electrodes, offer local amplification. In this work, we built PEDOT:PSS based OECTs using novel inkjet printing technology, achieving a transconductance of 75 mS. The device was later used to amplify arbitrary signals simulating in vivo recordings. Gate voltage offset manipulation offered a range of current peak-to-peak amplitudes. Additionally, we demonstrate a simple circuit for voltage readings, where another resistor-dependent characterization involving voltage source and drain voltage is performed. At ideal operating point and when using a 220 Ω resistor, a gain of 14.5 is *** Relevance— 1 This work demonstrates the ability to rapidly and easily develop OECT-based technology for potential signal sensing for more accurate diagnosis of pathologies and diseases.

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Mesenchymal stromal cell-derived small extracellular vesicles modulate macrophage polarization and enhance angio-osteogenesis to promote bone healing

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Genes & Diseases 2022年第4期9卷 841-844页

作者： Shang Jiunn Chuah Chee Weng Yong Kristeen Ye Wen Teo Jacob Ren Jie Chew Yi Ann Cheow Shipin Zhang Raymond Chung Wen Wong Asher Ah Tong Lim Sai Kiang Lim Wei Seong Toh Faculty of Dentistry National University of Singapore119085Singapore Institute of Molecular and Cell Biology Agency for ScienceTechnology and Research138648Singapore Department of Orthopaedic Surgery Yong Loo Lin School of MedicineNational University of Singapore119288Singapore Department of Biomedical Engineering Faculty of EngineeringNational University of Singapore117583Singapore Tissue Engineering Program Life Sciences InstituteNational University of Singapore117456Singapore Integrative Sciences and Engineering Program NUS Graduate SchoolNational University of Singapore119077Singapore

Mesenchymal stem/stromal cells(MSCs)have demonstrated therapeutic efficacy for bone regeneration in animal and clinical *** MSCs were initially thought to differentiate to various cell types to replace the injured/diseased tissue,it is now accepted that these cells secrete factors to promote tissue repair.1 Among these factors,small extracellular vesicles(sEVs)of size 50–200 nm,which include the exosomes,have been identified as the principal agent mediating the wide-ranging therapeutic efficacy of MSCs.2 Several studies have also reported the therapeutic effects of MSC-sEVs to enhance bone repair in animal models,as recently reviewed.3 However,the cellular processes and mechanisms mediated by MSC-sEVs in bone regeneration remain to be fully elucidated.

关键词： healing clinical macrophage

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Dataset of polarimetric images of mechanically generated water surface waves coupled with surface elevation records by wave gauges linear array.

arXiv

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arXiv 2024年

作者： Ginio, Noam Lindenbaum, Michael Fishbain, Barak Liberzon, Dan Faculty of Civil and Environmental Engineering Technion Haifa320003 Israel Faculty of Computer Science Technion Haifa320003 Israel Interdisciplinary Program for Marine Engineering Technion Haifa320003 Israel

Effective spatio-temporal measurements of water surface elevation (water waves) in laboratory experiments are essential for scientific and engineering research. Existing techniques are often cumbersome, computationally heavy and generally suffer from limited wavenumber/frequency response. To address these challenges a novel method was developed, using polarization filter equipped camera as the main sensor and Machine Learning (ML) algorithms for data processing [1,2]. The developed method training and evaluation was based on in-house made supervised dataset. Here we present this supervised dataset of polarimetric images of the water surface coupled with the water surface elevation measurements made by a linear array of resistance-type wave gauges (WG). The water waves were mechanically generated in a laboratory waves basin, and the polarimetric images were captured under an artificial light source. Meticulous camera and WGs calibration and instruments synchronization supported high spatio-temporal resolution. The data set covers several wavefield conditions, from simple monochromatic wave trains of various steepness, to irregular wavefield of JONSWAP prescribed spectral shape and several wave breaking scenarios. The dataset contains measurements repeated in several camera positions relative to the wave field propagation direction. © 2024, CC BY-NC-ND.

关键词： Water waves

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