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IEEE International Systems Engineering Symposium (ISSE)

作者： Abbaszadeh, Javad Sarafi, Sahar Islamic Azad Univ Dept Elect Engn Urmia Branch Orumiyeh Iran Carinthia Univ Appl Sci Dept Elect Engn Europastr 4 A-9524 Villach Austria

ISBN: (纸本)9781538634035

Ultrasonic Imaging System is a significant system to produce the cross-sectional images from pipe to characterize the flow. In this study, a novel ultrasonic imaging system with a metal pipe conveyor is proposed. In presented system, non-invasive sensing technique is utilized for identifying two-phase flows through cross-sectional images of the metal pipe. 16 ultrasonic transceivers with 40 kHz resonance frequency based on the thickness of the metal pipe (4 mm) is selected and mounted on periphery of the metal pipe, experimentally. The details of designed circuitry of the system which is consisted of various parts such as signal generator, the signal conditioning and the signal acquisition strategy are also presented. Additionally, two different types of image reconstruction algorithms: Linear Back propagation (LBP) and Filter Back Propagation (FBP) are applied to reconstruct the cross-sectional images from the metal pipe. Finally, the experimental results of each algorithm are compared and the optimum algorithm is determined.

关键词： Ultrasonic Imaging Two phase flow image reconstruction algorithm Signal conditioning Ultrasonic sensor

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AN ERT IMAGING algorithm BASED ON NELDER- MEAD SIMPLEX METHOD 12

AN ERT IMAGING ALGORITHM BASED ON NELDER- MEAD SIMPLEX METHO...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Yue, Shihong Zhang, Yujing Tianjin Univ Sch Elect Engn & Automat Tianjin 300072 Peoples R China

ISBN: (纸本)9781479902606

Electrical resistance tomography (ERT) techniques have increasing gained importance during the past several decades as a process visualization tool. Most of the existing ERT methods work in term of an optimization process and assume the optimized objective function be differentiable. But this assumption doesn't hold in noisy conditions and leads to an infeasible optimization process. In this paper, a new ERT imaging method based on NeIder-mead simplex algorithm is proposed. The key feature of the algorithm can efficiently work without the differentiability constraint. This strategy can efficiently enhance spatial resolution with less calculation than the existing algorithms. A group of experiments show that the proposed method can work better than two existing ET imaging methods in complex conditions with noisy data.

关键词： Electrical Resistance Tomography (ERT) image reconstruction algorithm Optimization

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Three-dimensional monochromatic X-ray CT

Three-dimensional monochromatic X-ray CT

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1995 Symposium on Applications of Digital image Processing XVIII

作者： SAITO, T KUDO, H TAKEDA, T ITAI, Y TOKUMORI, K TOYOFUKU, F HYODO, K ANDO, M NISHIMURA, K UYAMA, C UNIV TSUKUBA INST INFORMAT SCI & ELECTRTSUKUBAIBARAKI 305JAPAN

ISBN: (纸本)0819419230

In this paper, we describe a 3D computed tomography (3D CT) using monochromatic x-rays generated by synchrotron radiation, which performs a direct reconstruction of 3D volume image of an object from its cone-beam projections. For the develpment of 3D CT, scanning orbit of x-ray source to obtain complete 3D information about an object and corresponding 3D image reconstruction algorithm are considered. Computer simulation studies demonstrate the validities of proposed scanning method and reconstruction algorithm. A prototype experimental system of 3D CT was constructed. Basic phantom examinations and specific material CT image by energy subtraction obtained in this experimental system are shown.

关键词： CONE-BEAM 3-D CT image reconstruction algorithm SYNCHROTRON RADIATION MONOCHROMATIC X-RAYS ENERGY SUBTRACTION IMAGING

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An endoscopic diffuse optical tomographic method with high resolution based on the improved FOCUSS method 12

An endoscopic diffuse optical tomographic method with high r...

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Conference on Optical Tomography and Spectroscopy of Tissue XII

作者： Qin Zhuanping Ma Wenjuan Ren Shuyan Geng Liqing Li Jing Yang Ying Qin Yingmei Tianjin Univ Technol & Educ Tianjin Key Lab Informat Sensing & Intelligent Co Tianjin Peoples R China Tianjin Univ Technol & Educ Sch Automat & Elect Engn Tianjin Peoples R China Tianjin Med Univ Canc Inst & Hosp Natl Clin Res Ctr Canc Breast Imaging Dept Tianjin Peoples R China

ISBN: (数字)9781510605602

ISBN: (纸本)9781510605596;9781510605602

Endoscopic DOT has the potential to apply to cancer-related imaging in tubular organs. Although the DOT has relatively large tissue penetration depth, the endoscopic DOT is limited by the narrow space of the internal tubular tissue, so as to the relatively small penetration depth. Because some adenocarcinomas including cervical adenocarcinoma are located in deep canal, it is necessary to improve the imaging resolution under the limited measurement condition. To improve the resolution, a new FOCUSS algorithm along with the image reconstruction algorithm based on the effective detection range (EDR) is developed. This algorithm is based on the region of interest (ROI) to reduce the dimensions of the matrix. The shrinking method cuts down the computation burden. To reduce the computational complexity, double conjugate gradient method is used in the matrix inversion. For a typical inner size and optical properties of the cervix-like tubular tissue, reconstructed images from the simulation data demonstrate that the proposed method achieves equivalent image quality to that obtained from the method based on EDR when the target is close the inner boundary of the model, and with higher spatial resolution and quantitative ratio when the targets are far from the inner boundary of the model. The quantitative ratio of reconstructed absorption and reduced scattering coefficient can be up to 70% and 80% under 5mm depth, respectively. Furthermore, the two close targets with different depths can be separated from each other. The proposed method will be useful to the development of endoscopic DOT technologies in tubular organs.

关键词： FOCUSS endoscopic DOT near-field image reconstruction algorithm resolution

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3D photoacoustic imaging of a moving target

3D photoacoustic imaging of a moving target

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Conference on Photons Plus Ultrasound - Imaging and Sensing 2009

作者： Ephrat, Pinhas Roumeliotis, Michael Prato, Frank S. Carson, Jeffrey J. L. St Josephs Hlth Care Lawson Hlth Res Inst Imaging Program London ON Canada

ISBN: (纸本)9780819474230

We have developed a fast 3D photoacoustic imaging system based on a sparse array of ultrasound detectors and iterative image reconstruction. To investigate the high frame rate capabilities of our system in the context of rotational motion, flow, and spectroscopy, we performed high frame-rate imaging on a series of targets, including a rotating graphite rod, a bolus of methylene blue flowing through a tube, and hyper-spectral imaging of a tube filled with methylene blue under a no flow condition. Our frame-rate for image acquisition was 10 Hz, which was limited by the laser repetition rate. We were able to track the rotation of the rod and accurately estimate its rotational velocity, at a rate of 0.33 rotations-per-second. The flow of contrast in the tube, at a flow rate of 180 mu L/min, was also well depicted, and quantitative analysis suggested a potential method for estimating flow velocity from such measurements. The spectrum obtained did not provide accurate results, but depicted the spectral absorption signature of methylene blue, which may be sufficient for identification purposes. These preliminary results suggest that our high frame-rate photoacoustic imaging system could be used for identifying contrast agents and monitoring kinetics as an agent propagates through specific, simple structures such as blood vessels.

关键词： photoacoustic imaging three-dimensional imaging ultrasound detector array real-time imaging image reconstruction algorithm sparse array flow measurements hyper-spectral imaging

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MEFS - MIND Electrical Impedance Tomography Forward Solver

MEFS - MIND Electrical Impedance Tomography Forward Solver

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32nd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBC 10)

作者： Yang, Fei Zhang, Jie Patterson, Robert Washington Univ Sch Med Dept Radiat Oncol 4921 Parkview PlCampus Box 8224 St Louis MO 63110 USA Univ Minnesota Inst Engn Med Minneapolis MN 55455 USA Univ Minnesota Dept Phys Med & Rehabilitat Minneapolis MN 55455 USA

ISBN: (纸本)9781424441242

Electrical impedance tomography (EIT) offers a possibility of realizing of a low cost and safe modality for clinically monitoring patients being treated with mechanical ventilation. However, image reconstruction algorithm employed at different clinical or research settings varies from one to another, which in turn makes interpretation of regional ventilation across institutions difficult. Seeing the lack of a standardized algorithm, GREIT (Graz consensus reconstruction algorithm for EIT) was proposed lately in an attempt to develop a unified EIT image reconstruction algorithm. To assess GREIT, an anatomically-detailed electrical model of the thorax is indispensable. In view of this need, we describe a high resolution, image-based electrical thoracic modeling software environment, named MEFS (MIND EIT Forward Solver). The software environment utilizes anatomically realistic geometry of the thorax, allows placing electrode of any shape interactively, and yields the detailed field information in the simulated volume. The goals of the development of MEFS are: 1) to generate electrical measurements needed for EIT image reconstruction, 2) to provide a platform to compare various EIT reconstruction algorithms.

关键词： GREIT Graz consensus reconstruction algorithm MEFS-MIND electrical impedance tomography anatomically-detailed electrical model biological organs biomedical measurement clinically monitoring patients electric impedance imaging electrical measurements electrode forward solver image reconstruction image reconstruction algorithm image-based electrical thoracic modeling software environment mechanical ventilation medical image processing patient monitoring physiological models safe modality standardized algorithm ventilation

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The back-projection algorithm based on electric lines of force for single drive electrode ERT

The back-projection algorithm based on electric lines of for...

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23rd IEEE Instrumentation and Measurement Technology Conference

作者： Zhao, Wuling Dong, Feng Tianjin Univ Sch Elect Engn & Automat Tianjin 300072 Peoples R China

ISBN: (纸本)9780780393592

A novel single drive electrode method is adopted in the electricity tomography (ERT). Based on this new drive method, the model of field distribution is established and the Back-Projection(M) algorithm based on electric lines of force for single drive electricity method is also proposed This new algorithm is evaluated with simulation data and compared with the conventional back-projection algorithm in tire adjacent exciting method The reconstruction images of several typical medium distributions show the validity of the proposed algorithms.

关键词： electrical resistance tomography single drive electrode method image reconstruction algorithm electric lines of force r

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image fusion for dual tomography

Image fusion for dual tomography

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2nd International Conference of Young Scientists (MEMSTECH 2006)

作者： Sankowski, Dominik Zain, Rasif Mohd Mosorov, Volodymyr Tech Univ Lodz Dept Comp Engn Stefanowskiego 18-22 PL-90924 Lodz Poland Agensi Nuklear Malaysia Bangi 43000 Kajang Malaysia

ISBN: (纸本)966553517X

The many methodologies that exist for monitoring and investigation of flows in industrial applications were recently reviewed in current literature. In this paper we present image fusion algorithms for dual tomography based on several modalities against well-known methods, which use one modality. These two modalities are complimentary both for spatial and temporal resolutions.

关键词： electrical gamma optical tomography dual mode tomography image reconstruction algorithm

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Fluorescence diffuse optical tomography by full time-resolved scheme

Fluorescence diffuse optical tomography by full time-resolve...

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Conference on Optical Tomography and Spectroscopy of Tissue VII

作者： Gao, Feng Miao, Hui Zhao, Huijuan Tanikawa, Yukari Yamada, Yukio Tianjin Univ Coll Precis Instrument & Optoelect Engn Tianjin 300072 Peoples R China Natl Inst Adv Ind Sci & Technol Inst Human Sci & Biomed Engn Tsukuba Ibaraki 3058564 Japan Univ Electrocommun Dept Mech Engn & Intelligent Syst Tokyo 1828585 Japan

ISBN: (纸本)9780819465474

A full time-resolved (TR) scheme that has been previously developed for diffuse optical tomography is extended to time-domain fluorescence diffuse optical tomography regime, based on the finite-element-finite-time-difference diffusion modeling and the Newtown-Raphson inversion method. We validate the proposed methodology using simulated data and demonstrate its capability of simultaneously recovering the fluorescent yield and lifetime, as well as its superiority of improving quantitative accuracy and spatial resolution of reconstruction to the featured-data one. The full time-resolved scheme helps set up the 'gold standard' for evaluating the performance of the other featured-data ones, and is more practically feasible in molecular imaging than in generic diffuse optical tomography due to availability of the difference measuring.

关键词： diffuse optical tomography data type time-resolved detection image reconstruction algorithm generalized pulse spectrum technique

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Pre-computed system matrix calculation based on a piece-wise method for PET

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RADIOLOGICAL PHYSICS AND TECHNOLOGY 2015年第1期8卷 88-96页

作者： Ahmed, Abdella M. Kikuchi, Yohei Matsuyama, Shigeo Terakawa, Atsuki Takyu, Sodai Sugai, Hiroyuki Ishii, Keizo Tohoku Univ Dept Quantum Sci & Energy Engn Aoba Ku Sendai Miyagi 980 Japan

A system matrix (SM) is the basic component of iterative image reconstruction algorithms. Calculation of the SM needs a considerable amount of time due to an enormous number of lines of response (LORs) being modeled. In this study, we developed a technique based on a piece-wise calculation method in which symmetry and further division of the voxels are applied. The detector response function for all detectable pairs of photons along certain LORs originating from each voxel is calculated analytically. The total number of LORs in 300 x 300 x 120 voxels (with 2 x 2 x 2 mm(3)) is similar to 44 billion, and the SM was calculated by the use of three different computers independently;the calculation time was 5 h. The SM took 5 days when calculated by the use of the conventional method (where symmetry and the piece-wise method are not used). The sensitivity correction factor was stored;it had a size of 42 MB in a four-byte computer memory.

关键词： PET System matrix image reconstruction algorithm

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