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The Contribution of Physical Activity in Blood Glucose Concentration for People with Type 1 Diabetes

IFAC-PapersOnLine 2018年第27期51卷 270-275页

作者： Boiroux, Dimitri Jørgensen, John Bagterp Patek, Stephen D. Breton, Marc D. Department of Applied Mathematics and Computer Science Technical University of Denmark LyngbyDK-2800 Kgs Denmark Department of Systems and Information Engineering University of Virginia Charlottesville Virginia United States Center for Diabetes Technology University of Virginia CharlottesvilleVA United States

This paper addresses the problem of mathematical deconvolution for the estimation of unknown inputs in linear discrete-time state-space models. We apply our deconvolution algorithm to the modeling of blood glucose (BG) concentration for people with type 1 diabetes (T1D). We present a method using an activity tracking watch, a continuous glucose monitor and an insulin pump to study the effect of physical activity on BG concentration for people with T1D. The physical activity signatures are represented by an unknown input, also referred to as a ”net effect”. In addition, the net effect captures the unmodelled BG variations, eg. mismatches in meal estimation, and circadian metabolic variations. We test our method using data from a clinical study. We show the glucose net effect traces associated to physical activity for a specific patient during 20 consecutive days, and the glucose net effect traces associated to physical activity for eight subjects under identical conditions. The net effect signatures can be used to (i) reproduce experiments with different insulin administration strategies, (ii) build a physiological model of glucose-insulin dynamics able to simulate a physical activity in people with T1D, and (iii) design a model-based control algorithm able to predict the effect of physical activity on the blood glucose concentration. © 2018

关键词： Glucose Blood deconvolution Estimation Insulin Physiological models State space methods Blood glucose concentration deconvolution algorithm Discrete time state space models Disturbance estimation Model based control algorithms Net effect Physical activity Type 1 diabetes

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Determination of Water and Oil in Contaminated Coastal Sand by Low-Field Hydrogen-1 Nuclear Magnetic Resonance (¹H NMR)

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ANALYTICAL LETTERS 2021年第9期54卷 1496-1509页

作者： Bai, Ningchen Wang, Diansheng Zhang, Yingpeng Sui, Hongguang China Univ Petr East China Coll Sci Qingdao Peoples R China

This study presents a low-field hydrogen-1 nuclear magnetic resonance (H-1 NMR) method to accurately determine water and oil in oil-contaminated coastal sand. Rapid, efficient separation of water and oil signals in the overlapping transverse relaxation (T-2) spectra was achieved using a novel approach combining physical (paramagnetic ions Mn2+) and mathematical separation (deconvolution algorithm). High correlation coefficients of 0.998 and 0.982 were obtained between the prepared and NMR determined contents for water and oil together with the maximum errors of 0.84% and 0.54% for the water and oil content separately, which suggests NMR measurement of water and oil contents in oil-contaminated coastal sand is fairly accurate.

关键词： deconvolution algorithm hydrogen-1 nuclear magnetic resonance (1H NMR oil and water contents oil-contaminated coastal sands) paramagnetic ions transverse relaxation

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Quantitative accuracy of computed tomography perfusion under low-dose conditions, measured using a hollow-fiber phantom

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JAPANESE JOURNAL OF RADIOLOGY 2017年第7期35卷 373-380页

作者： Suzuki, Kazufumi Hashimoto, Hiroyuki Okaniwa, Eiji Iimura, Hiroshi Suzaki, Shingo Abe, Kayoko Sakai, Shuji Tokyo Womens Med Univ Dept Diagnost Imaging & Nucl Med Shinjuku Ku 8-1 Kawada Cho Tokyo 1628666 Japan Tokyo Womens Med Univ Hosp Dept Radiol Serv Shinjuku Ku 8-1 Kawada Cho Tokyo 1628666 Japan Tokyo Womens Med Univ Inst Geriatr Shinjuku Ku 8-1 Kawada Cho Tokyo 1628666 Japan

The purpose of this study was to investigate the quantitative accuracy under low-dose conditions on computed tomography (CT) perfusion using a hollow-fiber phantom that had the theoretical absolute values of perfusion indices. Our phantom comprised two components, i.e., a hollow-fiber hemodialyzer to pump the diluted contrast material and a surrounding syringe-shaped X-ray-absorbing body to simulate the absorption of X-rays by a brain and cranium. We performed CTP scans on the phantom under various dose conditions ranging from 20 to 140 mA using a 64-row CT scanner, measuring experimental cerebral blood flow (CBF), cerebral blood volume (CBV), mean transit time (MTT), and time to peak (TTP) values using a deconvolution algorithm. The theoretical value of the CBV was within the 95% confidence interval of CBV values measured under 80 mA. The CBV measured under low-dose settings and all CBF values measured were smaller than the theoretically calculated ones, and all MTT values measured were larger. All measured values of the CBV, CBF, MTT, and TTP decreased with an increase in image noise under lower dose conditions. It is difficult to define a low-dose limit in clinical scan conditions because of the complex characteristics of perfusion indices.

关键词： Computed tomography perfusion deconvolution algorithm Phantom Time-concentration curve

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Predicting host immune cell dynamics using tissue gene expression

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IFAC-PapersOnLine 2018年第19期51卷 5-6页

作者： Wang, Muying Fukuyama, Satoshi Kawaoka, Yoshihiro Shoemaker, Jason E. Department of Chemical and Petroleum Engineering Swanson School of Engineering University of Pittsburgh PittsburghPA United States Division of Virology Department of Microbiology and Immunology Institute of Medical Science University of Tokyo Tokyo Japan Department of Special Pathogens International Research Center for Infectious Diseases Institute of Medical Science University of Tokyo School of Veterinary Medicine Department of Pathobiological Sciences Influenza Research Institute University of Wisconsin-Madison Tokyo MadisonWI United States Department of Computational and Systems Biology School of Medicine University of Pittsburgh The McGowan Institute for Regenerative Medicine PittsburghPA United States

Immune cell dynamics are critical to disease pathology. deconvolution algorithms attempt to predict cell quantities based on gene expression profiles derived from diseased tissue and are evaluated using artificial or simple samples. We tested their capability of estimating cell counts given data from influenza-infected lung sampled over time post infection. Our findings suggest that current methods must be improved in order to characterize disease-associated immune cell dynamics. © 2018

关键词： Gene expression Cytology deconvolution Dynamics Tissue Cell count deconvolution algorithm Diseased tissues Gene expression profiles Immune cells Immune response Influenza infection

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THE DYNAMIC CALIBRATION OF DIGITAL STORAGE OSCILLOSCOPES IN NOISE ENVIRONMENTS

THE DYNAMIC CALIBRATION OF DIGITAL STORAGE OSCILLOSCOPES IN ...

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1994 IEEE Instrumentation and Measurement Technology Conference - Advanced Technologies in I and M (IMTC/94)

作者： GUO, SZ ZHANG, YQ SUN, SH HARBIN INST TECHNOL HARBINPEOPLES R CHINA

ISBN: (纸本)0780318803

The method for dynamic calibration of Digital Storage Oscilloscopes (DSO) in noise environment using parameter identification is proposed in this paper. By inputting the square-wave signal from the probe of the DSO, we can get the output data including the noise. Through least square parameter identification, the complex transfer function of the DSO may be estimated from the input and output data. Using a deconvolution algorithm, the effect of the transfer function can be calibrated. The simulations prove that the method is feasible.

关键词： calibration digital storage oscilloscopes random noise parameter estimation transfer functions dynamic calibration digital storage oscilloscopes noise parameter identification square wave signal least square parameter identification complex transfer function deconvolution algorithm transfer function simulation

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The image enhancement and region of interest extraction of lobster-eye X-ray dangerous material inspection system 12

The image enhancement and region of interest extraction of l...

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Conference on Optics and Photonics for Counterterrorism, Crime Fighting, and Defence XII

作者： Zhan, Qi Wang, Xin Mu, Baozhong Xu, Jie Xie, Qing Li, Yaran Chen, Yifan He, Yanan AMOE Key Lab Adv Microstruct Mat 1239 Siping Rd Shanghai 200092 Peoples R China Tongji Univ Sch Phys Sci & Engn 1239 Siping Rd Shanghai 200092 Peoples R China

ISBN: (纸本)9781510603943;9781510603950

Dangerous materials inspection is an important technique to confirm dangerous materials crimes. It has significant impact on the prohibition of dangerous materials-related crimes and the spread of dangerous materials. Lobster-Eye Optical Imaging System is a kind of dangerous materials detection device which mainly takes advantage of backscatter X-ray. The strength of the system is its applicability to access only one side of an object, and to detect dangerous materials without disturbing the surroundings of the target material. The device uses Compton scattered x-rays to create computerized outlines of suspected objects during security detection process. Due to the grid structure of the bionic object glass, which imitate the eye of a lobster, grids contribute to the main image noise during the imaging process. At the same time, when used to inspect structured or dense materials, the image is plagued by superposition artifacts and limited by attenuation and noise. With the goal of achieving high quality images which could be used for dangerous materials detection and further analysis, we developed effective image process methods applied to the system. The first aspect of the image process is the denoising and enhancing edge contrast process, during the process, we apply deconvolution algorithm to remove the grids and other noises. After image processing, we achieve high signal-to-noise ratio image. The second part is to reconstruct image from low dose X-ray exposure condition. We developed a kind of interpolation method to achieve the goal. The last aspect is the region of interest (ROI) extraction process, which could be used to help identifying dangerous materials mixed with complex backgrounds. The methods demonstrated in the paper have the potential to improve the sensitivity and quality of x-ray backscatter system imaging.

关键词： image process dangerous materials inspection backscatter x-ray deconvolution algorithm

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Processing of the Astronomical Image Data obtained from UWFC Optical Systems

Processing of the Astronomical Image Data obtained from UWFC...

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Conference on Image Reconstruction from Incomplete Data V

作者： Rerabek, Martin Pata, Petr Koten, Pavel Czech Tech Univ Fac Elect Engn Dept Radioelect Tech 2 Prague 16627 6 Czech Republic Acad Sci Czech Republ Astron Inst Dept Interplanetary Matter Ondrejov 25165 Czech Republic

ISBN: (纸本)9780819472960

This paper deals with simulation and modeling of the optical systems used in astronomy and their transfer characteristics. It is especially focused to the WFC (Wide-Field Camera) and UWFC (Ultra Wide-Field Camera) SV (Space Variant) optical systems. The properties of UWFC astronomical systems along with specific visual data in astronomical images contribute to complicated evaluation of acquired image data. There is an experiment for estimate the optical aberration of optical systems described in this paper. The results of different deconvolution algorithms, which are used with partially variant model of UWFC optical system, are demonstrated in this paper.

关键词： Image processing PSF Zernike polynomial Optical aberration Space variant deconvolution algorithm

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The effect of scan interval and bolus length on the quantitative accuracy of cerebral computed tomography perfusion analysis using a hollow-fiber phantom

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RADIOLOGICAL PHYSICS AND TECHNOLOGY 2018年第1期11卷 13-19页

作者： Hashimoto, Hiroyuki Suzuki, Kazufumi Okaniwa, Eiji Iimura, Hiroshi Abe, Kayoko Sakai, Shuji Tokyo Womens Med Univ Hosp Dept Radiol Serv Shinjuku Ku 8-1 Kawada Cho Tokyo 1628666 Japan Tokyo Womens Med Univ Dept Diagnost Imaging & Nucl Med Shinjuku Ku 8-1 Kawada Cho Tokyo 1628666 Japan Tokyo Womens Med Univ Inst Geriatr Shibuya Ku 2-15-1 Shibuya Tokyo 1500002 Japan

The shuttle scan technique is expected to extend scan range in cerebral computed tomography (CT) perfusion by 16- or 64-row multidetector CT (MDCT), but it may affect quantitative accuracy. This study aims to evaluate the effect of long scan interval and bolus length on the quantitative accuracy of perfusion indices using an innovative hollow-fiber phantom. We used an originally developed hollow-fiber hemodialyzer covered with polyurethane resin as a perfusion phantom. We scanned the phantom during various scan intervals (1-13 s) and bolus injection lengths (5, 10, 15, and 20 s), and evaluated cerebral blood flow (CBF), cerebral blood volume (CBV), mean transit time (MTT), and time-to-peak (TTP). We verified the influence on measured values using a two-way analysis of variance (ANOVA). All measured CBF values were smaller than the theoretical CBF values, and all the measured MTT values were larger that the theoretical MTT values (95% confidence interval). Extended scan intervals resulted in more overestimation of MTT and more underestimation of CBF (p < 0.001). CBV is not affected by the change in scan interval (p < 0.001), and a longer bolus length improved the underestimation of CBV (p < 0.001). Extended scan intervals resulted in the loss of quantitative accuracy in MTT, even with longer bolus injection length, while quantitative CBF values were underestimated and TTP values overestimated. The CBV measurement was not affected by the change in scan interval, and a longer bolus injection improved the accuracy of these measurements.

关键词： Cerebral blood volume Computed tomography perfusion deconvolution algorithm Phantom

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Advanced Processing of Astronomical Images Obtained from Optical Systems with Ultra Wide Field of View

Advanced Processing of Astronomical Images Obtained from Opt...

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Conference on Applications of Digital Image Processing XXXII

作者： Rerabek, Martin Pata, Petr Czech Tech Univ Fac Elect Engn Dept Radioelect Tech 2 Prague 16627 6 Czech Republic

ISBN: (纸本)9780819477330

The principal aim of this paper is to present a general view of the special optical systems used for acquiring of the astronomical image data, which are commonly called WFC or UWFC (Ultra Wide Field Camera), and of their transfer characteristics. UWFC image data analysis is very difficult. Images obtained from UWFC systems are distorted by many various optical aberrations. The influence of optical aberrations increases towards margins of the field of view. These aberrations distort the point spread function of the optical system and rapidly cut the accuracy of measurements. UWFC systems frequently have so called spatially variant properties. This paper deals with simulation and modeling of the UWFC optical systems used in astronomy and their transfer characteristics.

关键词： Image processing PSF Zernike polynomial Optical aberration Space variant deconvolution algorithm

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Research on improving imaging field of view of laser imaging through scattering media 7

Research on improving imaging field of view of laser imaging...

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7th Symposium on Novel Photoelectronic Detection Technology and Applications

作者： Li, Jiahuan Zhang, Zijing Zhao, Yuan Harbin Inst Technol Sch Phys Harbin 150001 Peoples R China

ISBN: (数字)9781510643628

ISBN: (纸本)9781510643628

Scattering medium is always a problem to be overcome in traditional optical imaging technology. In recent years, a speckle intensity correlation technique has been proposed to achieve high quality reconstruction of targets hidden in the scattering medium. Unfortunately, the imaging field of view (FOV) of this technology is seriously limited by the optical memory effect (OME) range. Here, we propose an iterative point-spread-function deconvolution (IPSFD) method to reconstruct multiple targets. According to the reversibility of the deconvolution algorithm, the IPSFD method starts from a small known target, and estimates the adjacent targets and point-spread-functions continuously by the iterative deconvolution algorithm, and finally reconstructs all targets within around three times the optical memory effect range. Theoretical and experimental results confirm that our method can achieve multi-target reconstruction of the single-shot large FOV speckle pattern. This method may have potential in practical applications biomedical imaging, astronomical imaging, and atmospheric turbulence imaging.

关键词： Scattering medium Optical memory effect Imaging field of view deconvolution algorithm

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