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image reconstruction algorithm for capacitively coupled electrical resistance tomography

FLOW MEASUREMENT AND INSTRUMENTATION 2014年 40卷 216-222页

作者： Wang, Baoliang Tan, Wuhao Huang, Zhiyao Ji, Haifeng Li, Haiqing Zhejiang Univ Dept Control Sci & Engn State Key Lab Ind Control Technol Hangzhou 310027 Peoples R China

Capacitively Coupled Electrical Resistance Tomography (CCERT), which is on the basis of Capacitively Coupled Contactless Conductivity Detection ((CD)-D-4), is a novel electrical tomography technique. As a developing technique, more research work should be undertaken. This work focuses on the study of image reconstruction algorithm of CCERT. Combining Tikhonov regularization principle and Simultaneous Iterative reconstruction Technique (SIRT), a new hybrid image reconstruction algorithm is proposed. Tikhonov regularization is introduced to obtain the initial reconstructed image. SIRT is used to obtain the final reconstructed image. With a 12-electrode CCERT prototype, image reconstruction experiments are carried out. Experimental results show that the images reconstructed by the proposed image reconstruction algorithm are satisfactory and are in accord with the actual distributions of two-phase flows. The research work also indicates that the proposed image reconstruction algorithm is more suitable for image reconstruction of CCERT, comparing with the conventional image reconstruction algorithms of Electrical Capacitance Tomography (ECT) and Electrical Resistance Tomography (ERT). (C) 2014 Elsevier Ltd. All rights reserved.

关键词： Electrical tomography Inverse problem image reconstruction algorithm (CD)-D-4 Two-phase flow

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image reconstruction algorithm for a spinning strip CZT SPECT camera with a parallel slat collimator and small pixels

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MEDICAL PHYSICS 2004年第12期31卷 3461-3473页

作者： Zeng, GSL Gagnon, D Univ Utah Utah Ctr Adv Imaging Res Salt Lake City UT 84108 USA Philips Med Syst Inc Cleveland OH 44143 USA

This paper discusses the use of small pixels in a spinning CdZnTe single photon emission computed tomography (SPECT) camera that is mounted with a parallel slat collimator. In a conventional slat collimation configuration, there is a detector pixel between two adjacent collimator slats. In our design, the pixel size is halved. That is, there are two smaller pixels to replace a regular pixel between two adjacent slats while the collimator remains unchanged. It has an advantage over our older design that uses tilted slats. In order to acquire a complete data set the tilted-slat collimator must spin 360degrees at each SPECT view while the proposed design requires only 180degrees at each SPECT view. Computer simulations and phantom experiments have been carried out to investigate the performance of the small-pixel configuration. It is observed that this design has the potential to increase the spatial resolution of the detector while keeping photon counts the same. (C) 2004 American Association of Physicists in Medicine.

关键词： image reconstruction algorithm single photon emission computed tomography filtered backprojection reconstruction imaging instrumentation

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image reconstruction algorithm Based on Algebraic Neural Network for Electrical Resistance Tomography

Image Reconstruction Algorithm Based on Algebraic Neural Net...

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IITA Internatonal Conference on Control, Automation and Systems Engineering

作者： Zhang Yanjun Wang Lili Zhou Jing Chen Deyun Harbin Univ Sci & Technol Coll Comp Sci & Technol Harbin Peoples R China

ISBN: (纸本)9780769537283

Two-phase fluid has complex flow characteristic and the accurate identification of flow regime is the basis of the accurate measurement of two-phase flow's parameter. There are still many defects such as low reconstruction quality and low reconstruction speed in image reconstruction algorithm because of soft field characteristic, strong nonlinear and ill-posedness of electrical resistance tomography. This paper put forward a new image reconstruction algorithm for ERT based on algebraic neural network. This algorithm transformed image reconstruction into a problem of solving strictly diagonal-dominant linear equations. Through the simulation experiment analysis, this method has characteristics such as fast convergence, low cost and small error.

关键词： Electrical resistance tomography Two phase flow image reconstruction algorithm Algebraic neural network

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A Non-Linear Reweighted Total Variation image reconstruction algorithm for Electrical Capacitance Tomography

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IEEE SENSORS JOURNAL 2018年第12期18卷 5049-5057页

作者： Li, Kezhi Chandrasekera, Thusara C. Li, Yi Holland, Daniel J. Imperial Coll London London SW7 2AZ England Univ Cambridge Churchill Coll Cambridge CB3 0DS England Tsinghua Univ Div Ocean Sci & Technol Grad Sch Shenzhen Shenzhen 518055 Peoples R China Univ Canterbury Dept Chem & Proc Engn Christchurch 8041 New Zealand

A new iterative image reconstruction algorithm for electrical capacitance tomography (ECT) is proposed which is based on iterative soft thresholding of a total variation penalty and adaptive reweighted compressive sensing. This algorithm encourages sharp changes in the ECT image and overcomes the disadvantage of the l(1) minimization by equipping the total variation with an adaptive weighting depending on the reconstructed image. Moreover, the non-linear effect is also partially reduced due to the adoption of an updated sensitivity matrix. Simulation results show that the proposed algorithm recovers ECT images more precisely than existing state-of-the-art algorithms and therefore is suitable for the imaging of multiphase systems in industrial or medical applications. Specifically, quantitative permittivity measurements can be recovered.

关键词： Electrical capacitance tomography (ECT) total variation image reconstruction algorithm sensitivity matrix

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An image reconstruction algorithm based on total variation with adaptive mesh refinement for ECT

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FLOW MEASUREMENT AND INSTRUMENTATION 2007年第5-6期18卷 262-267页

作者： Wang, Huaxiang Tang, Lei Cao, Zhang Tianjin Univ Sch Elect Engn & Automat Tianjin 300072 Peoples R China

In this paper, a robust image reconstruction algorithm for electrical capacitance tomography (ECT) is proposed. The key feature of the algorithm is the use of adaptive mesh refinement based on total variation (TV) in solving the inverse problem. It keeps the edge preserving and scale-dependent properties of total variation regularization, and enhances the distinguishability by using adaptive mesh refinement. This strategy improves the spatial resolution efficiently with less calculation and is less underdetermined than uniform refinement. Simulation and experimental results show that the algorithm performs better than both standard Tikhonov regularization and the conventional total variation method. (c) 2007 Elsevier Ltd. All rights reserved.

关键词： electrical capacitance tomography (ECT) image reconstruction algorithm total variation (TV) adaptive mesh refinement

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New image reconstruction algorithm for Capacitively Coupled Electrical Resistance Tomography

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IEEE SENSORS JOURNAL 2017年第24期17卷 8234-8241页

作者： Tan, Wuhao Wang, Baoliang Huang, Zhiyao Ji, Haifeng Li, Haiqing Zhejiang Univ State Key Lab Ind Control Technol Coll Control Sci & Engn Hangzhou 310027 Zhejiang Peoples R China

As a new electrical tomography technique, capacitively coupled electrical resistance tomography (CCERT) has been recently proposed and investigated. Currently, the research works on image reconstruction algorithms for CCERT are still very limited. In this paper, a new image reconstruction algorithm for CCERT is proposed with the combination of the famous Levenberg-Marquardt (L-M) method and the simultaneous algebraic reconstruction technique (SART). The L-M method is used to obtain an initial reconstructed image. The SART is applied to obtain the final reconstructed image. With a 12-electrode CCERT system, the new image reconstruction algorithm is examined by simulations and experiments, respectively. Both the simulation results and the experimental results show that the images reconstructed by the new image reconstruction algorithm are satisfactory and are in accord with the actual distribution of the two-phase flows. Compared with the conventional image reconstruction algorithms for CCERT, the new image reconstruction algorithm can obtain better reconstructed images.

关键词： Capacitively coupled electrical resistance tomography (CCERT) inverse problem image reconstruction algorithm Levenberg-Marquardt (L-M) method simultaneous algebraic reconstruction technique (SART)

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Feasibility of a Prototype image reconstruction algorithm for Motion Correction in Interventional Cone-Beam CT Scans

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ACADEMIC RADIOLOGY 2024年第6期31卷 2434-2443页

作者： Spenkelink, Ilse M. Heidkamp, Jan Verhoeven, Roel L. J. Jenniskens, Sjoerd F. M. Fantin, Alberto Fischer, Peter Rovers, Maroeksa M. Futterer, Jurgen J. Radboud Univ Nijmegen Med Ctr Dept Med Imaging Nijmegen Netherlands Radboud Univ Nijmegen Med Ctr Dept Pulmonol Nijmegen Netherlands Univ Hosp Udine ASUFC Dept Pulmonol Udine Italy Siemens Healthcare GmbH Adv Therapies Forchheim Germany Radboud Univ Nijmegen Med Ctr Dept Hlth Evidence Nijmegen Netherlands

Rationale and Objectives: Assess the feasibility of a prototype image reconstruction algorithm in correcting motion artifacts in conebeam computed tomography (CBCT) scans of interventional instruments in the lung. Materials and Methods: First, phantom experiments were performed to assess the algorithm, using the Xsight lung phantom with custom inserts containing straight or curved catheters. During scanning, the inserts moved in a continuous sinusoidal or breath-hold mimicking pattern, with varying amplitudes and frequencies. Subsequently, the algorithm was applied to CBCT data from navigation bronchoscopy procedures. The algorithm's performance was assessed quantitatively via edge-sharpness measurements and qualitatively by three specialists. Results: In the phantom study, the algorithm improved sharpness in 13 out of 14 continuous sinusoidal motion and five out of seven breath-hold mimicking scans, with more significant effects at larger motion amplitudes. Analysis of 27 clinical scans showed that the motion corrected reconstructions had significantly sharper edges than standard reconstructions (2.81 (2.24-6.46) vs. 2.80 (2.16-4.75), p = 0.003). These results were consistent with the qualitative assessment, which showed higher scores in the sharpness of bronchoscope-tissue interface and catheter-tissue interface in the motion-corrected reconstructions. However, the tumor demarcation ratings were inconsistent between raters, and the overall image quality of the new reconstructions was rated lower. Conclusion: Our findings suggest that applying the new prototype algorithm for motion correction in CBCT images is feasible. The algorithm improved the sharpness of medical instruments in CBCT scans obtained during diagnostic navigation bronchoscopy procedures, which was demonstrated both quantitatively and qualitatively. (c) 2024 The Association of University Radiologists. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativec

关键词： Motion correction image reconstruction algorithm Cone-beam computed tomography image guidance Navigation bronchoscopy

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A Novel GUI-Based image reconstruction algorithm of EIT Imaging Technique

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INTERNATIONAL JOURNAL OF COGNITIVE INFORMATICS AND NATURAL INTELLIGENCE 2021年第3期15卷 31-46页

作者： Kumar, Ramesh Tripathi, Shashank GEC Ajmer Ajmer Rajasthan India GEC Gaya Khizarsarai Bihar India

Electrical impedance tomography (EIT) is a non-invasive technique that is used to estimate the electrical properties of a medical or non-medical object through the boundary data of the object. It used to achieve functional imaging of different objects by measuring electrical conductivity and impedance parameters. In this paper, a novel image reconstruction algorithm is presented, which is based on graphical user interface (GUI) developed on MATLAB software platform. EIT imaging algorithm consists of a forward problem and an inverse problem. The forward problem is formulated with the conductance matrix, and a non-iterative inverse method is used to estimate the conductivity distribution. image display and data analysis are implemented and controlled directly in the GUI. The numerical simulations and phantom experiments have been carried out to evaluate the performance of the proposed algorithm and other previous research data through quantitative parameters. The obtained result shows satisfactory and comparable results to other EIT imaging algorithm.

关键词： Bio-Impedance Electrical Impedance Tomography Finite Element Method Graphical Interface Unit image reconstruction algorithm Jacobean Method Non-Invasive Technique Phantom

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A cosmic ray muons tomography system with triangular bar plastic scintillator detectors and improved 3D image reconstruction algorithm: A simulation study

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NUCLEAR ENGINEERING AND TECHNOLOGY 2023年第2期55卷 681-689页

作者： Zhao, Yanwei Luo, Xujia Qin, Kemian Liu, Guorui Chen, Daiyuan Augusto, R. S. Zhang, Weixiong Luo, Xiaogang Liu, Chunxian Liu, Juntao Liu, Zhiyi Lanzhou Univ Sch Nucl Sci & Technol Lanzhou 730000 Gansu Peoples R China US DOE Brookhaven Natl Lab New York NY 11973 USA Gansu Prov Bur Geol & Minerals Explorat & Dev Inst Geol & Minerals Explorat 3 Lanzhou 730000 Gansu Peoples R China Lanzhou Univ Frontiers Sci Ctr Rare Isotopes Lanzhou 730000 Peoples R China

Purpose: Muons are characterized by a strong penetrating ability and can travel through thousands of meters of rock, making them ideal to image large volumes and substances typically impenetrable to, for example, electrons and photons. The feasibility of 3D image reconstruction and material identification based on a cosmic ray muons tomography (MT) system with triangular bar plastic scintillator detectors has been verified in this paper. Our prototype shows potential application value and the authors wish to apply this prototype system to 3D imaging. In addition, an MT experiment with the same detector system is also in progress. Methods: A simulation based on GEANT4 was developed to study cosmic ray muons' physical processes and motion trails. The yield and transportation of optical photons scintillated in each triangular bar of the detector system were reproduced. An image reconstruction algorithm and correction method based on muon scattering, which differs from the conventional PoCA algorithm, has been developed based on simulation data and verified by experimental data. Results: According to the simulation result, the detector system's position resolution is below 1 similar to mm in simulation and 2 mm in the experiment. A relatively legible 3D image of lead bricks in size of 20 cm x 5 cm x 10 cm used our inversion algorithm can be presented below 1x 10(4) effective events, which takes 16 h of acquisition time experimentally. Conclusion: The proposed method is a potential candidate to monitor the cosmic ray MT accurately. Monte Carlo simulations have been performed to discuss the application of the detector and the simulation results have indicated that the detector can be used in cosmic ray MT. The cosmic ray MT experiment is currently underway. Furthermore, the proposal also has the potential to scan the earth, buildings, and other structures of interest including for instance computerized imaging in an archaeo-logical framework. (c) 2022 Korean Nuclear Socie

关键词： Muons tomography (MT) GEANT4 simulation Triangular bar Scintillator detector image reconstruction algorithm

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Study on beam geometry and image reconstruction algorithm in fast neutron computerized tomography at NECTAR facility

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NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT 2011年第1期651卷 180-186页

作者： Guo, J. Buecherl, T. Zou, Y. Guo, Z. Peking Univ State Key Lab Nucl Phys & Technol Beijing 100871 Peoples R China Peking Univ Sch Phys Beijing 100871 Peoples R China Tech Univ Munich Lehrstuhl Radiochem D-80748 Garching Germany

Investigations on the fast neutron beam geometry for the NECTAR facility are presented. The results of MCNP simulations and experimental measurements of the beam distributions at NECTAR are compared. Boltzmann functions are used to describe the beam profile in the detection plane assuming the area source to be set up of large number of single neutron point sources. An iterative algebraic reconstruction algorithm is developed, realized and verified by both simulated and measured projection data. The feasibility for improved reconstruction in fast neutron computerized tomography at the NECTAR facility is demonstrated. (C) 2011 Elsevier B.V. All rights reserved.

关键词： Beam geometry image reconstruction algorithm Fast neutron Neutron computerized tomography Neutron imaging

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