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Optimal sensor locations and ultrasound tomography set-up design for limited data problems

Optimal sensor locations and ultrasound tomography set-up de...

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52nd Annual conference of the British Institute of Non-Destructive Testing 2013, BINDT 2013

作者： Goswami, M. Bhadouria, v.S. Agrawal, N. Khanna, A. Munshi, P. Kishore, N.N. Saxena, A. Indian Institute of Technology Kanpur India Department of Mechanical Engineering Indian Institute of Technology Kanpur India Department of Chemical Engineering Indian Institute of Technology Kanpur India

ISBN: (纸本)9781629939933

This work addresses the issue of limited data problem (of ultrasonic tomography) especially for the case when the detector-emitter pairs are only a few in numbers. It is shown that optimized locations (sensor array design with optimized non-uniform places) result in better reconstruction compared to the uniform configuration of detectors. Parallel scanning mode (4 acoustic transducer pairs for 36 views only) is used to perform a simulation study. An interface of genetic algorithm and entropy maximization process is achieved to estimate these optimal locations. Delaunay triangulation and shape function interpolation is used to discretize and connect the image space with data space. Strip integration is used to include the diverging beam width effect. Smearing is also incorporated for noise filtering during the reconstruction process. The location that provides minimum l2 norm (in the reconstructions) is taken as the solution for optimal design. Ultrasound tomography setup is developed with uniform and optimal sensors alignment. Specimen with known locations is used to acquire the real world data. Tomographic reconstruction from optimal case shows promising results over uniform arrangement. The modified design is also has an added economical advantage since focused beam transducers are expensive and cost increases with the desired focal length. © (2013) by the British Institute of Non-Destructive Testing. All rights reserved.

关键词： Location

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Enhanced through-the-wall radar imaging using Bayesian compressive sensing

Enhanced through-the-wall radar imaging using Bayesian compr...

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conference on Compressive Sensing II

作者： Tang, v. H. Bouzerdoum, A. Phung, S. L. Tivive, F. H. C. Univ Wollongong Sch Elect Comp & Telecommun Engn Wollongong NSW 2522 Australia

ISBN: (纸本)9780819495082

In this paper, a distributed compressive sensing (CS) model is proposed to recover missing data samples along the temporal frequency domain for through-the-wall radar imaging (TWRI). Existing CS-based approaches recover the signal from each antenna independently, without considering the correlations among measurements. The proposed approach, on the other hand, exploits the structure or correlation in the signals received across the array aperture by using a hierarchical Bayesian model to learn a shared prior for the joint reconstruction of the high-resolution radar profiles. A backprojection method is then applied to form the radar image. Experimental results on real TWRI data show that the proposed approach produces better radar images using fewer measurements compared to existing CS-based TWRI methods.

关键词： Through-the-wall radar imaging delay-and-sum beamforming compressive sensing Bayesian compressive sensing hierarchical Bayesian modeling

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MATISSE status report and science forecast 4

MATISSE status report and science forecast

引用

conference on Optical and Infrared Interferometry Iv

作者： Lopez, B. Lagarde, S. Jaffe, W. Petrov, R. Schoeller, M. Antonelli, P. Beckman, U. Berio, Ph. Bettonvil, F. Graser, U. Millour, F. Robbe-Dubois, S. venema, L. Wolf, S. Bristow, P. Glindemann, A. Gonzalez, J. -C. Lanz, Th. Henning, T. Weigelt, G. Agocs, T. Augereau, J. -C. Avila, G. Bailet, C. Behrend, J. Berger, J. -P. von Boekel, R. Bonhomme, S. Bourget, P. Brast, R. Bresson, Y. Clausse, J. M. Chesneau, O. Csepany, G. Connot, C. Crida, A. Danchy, W. C. Delbo, M. Delplancke, F. Dominik, C. Dugue, M. Elswijk, E. Fantei, Y. Finger, G. Gabasch, A. Girard, P. Girault, v. Gitton, P. Glazenborg, A. Gonte, F. Guitton, F. Guniat, S. De Haan, M. Haguenauer, P. Hanenburg, H. Heininger, M. Hofmann, K. -H. Hogerheijde, M. ter Horst, R. Hron, J. Hugues, Y. Ives, D. Jakob, G. Jasko, A. Jolley, P. Kragt, J. Koehler, R. Kroener, T. Kroes, G. Labadie, L. Laun, W. Lehmitz, M. Leinert, Ch. Lizon, J. L. Lucuix, Ch. Marcotto, A. Martinache, F. Matter, A. Martinot-Lagarde, G. Mauclert, N. Mehrgan, L. Meilland, A. Mellein, M. Menardi, S. Menut, J. L. Meisenheimer, K. Morel, S. Mosoni, L. Navarro, R. Neumann, U. Nussbaum, E. Ottogalli, S. Palsa, R. Panduro, J. Pantin, E. Percheron, I. Phan Duc, T. Pott, J. -U. Pozna, E. Przygodda, F. Richichi, A. Rigal, F. Rupprecht, G. Schertl, D. Stegmeier, J. Thiam, L. Tromp, N. vannier, M. vakili, F. van Belle, G. Wagner, K. Woillez, J. Univ Nice Sophia Antipolis UMR7293 Lab Lagrange CNRSObserv Cote dAzur F-06304 Nice France Max Planck Inst Astron D-69117 Heidelberg Germany Leiden Univ Leiden Observ NL-2300 RA Leiden Netherlands NOVA Opt IR Instrument Grp ASTRON NL-7990 AA Dwingeloo Netherlands Max Planck Inst Radioastron D-53121 Bonn Germany Univ Kiel Inst Theoret Phys & Astrophys D-24118 Kiel Germany Univ Vienna Inst Astrophys A-1180 Vienna Austria European So Observ D-85748 Garching Germany MTA Res Ctr Astron & Earth Sci Konkoly Thege Miklos Astron Inst H-1525 Budapest Hungary Univ Cologne Inst Phys 1 D-50937 Cologne Germany Univ Grenoble Alpes CNRS IPAG F-38000 Grenoble France Kernfys Versneller Inst NL-9747 AA Groningen Netherlands Univ Paris Diderot CNRS CEA DSM Lab AIMIRFUServ AstrophysCEA Saclay F-91191 Gif Sur Yvette France Deutsch Thomson OHG D-78048 Villingen Schweninger Germany Natl Astron Res Inst Thailand Chiang Mai 50200 Thailand Lowell Observ Flagstaff AZ 86001 USA NASA Goddard Space Flight Ctr Greenbelt MD 20771 USA

ISBN: (纸本)9780819496140

MATISSE is the mid-infrared spectrograph and imager for the very Large Telescope Interferometer (vLTI) at Paranal. This second generation interferometry instrument will open new avenues in the exploration of our Universe. Mid-infrared interferometry with MATISSE will allow significant advances in various fundamental research fields: studies of disks around young stellar objects where planets form and evolve, surface structures and mass loss of stars in late evolutionary stages, and the environments of black holes in active galactic nuclei. MATISSE is a unique instrument. As a first breakthrough it will enlarge the spectral domain used by optical interferometry by offering the L & M bands in addition to the N band, opening a wide wavelength domain, ranging from 2.8 to 13 mu m on angular scales of 3 mas (L/M band) / 10 mas (N band). As a second breakthrough, it will allow mid-infrared imaging - closure-phase aperture-synthesis imaging with up to four Unit Telescopes (UT) or Auxiliary Telescopes (AT) of the vLTI. MATISSE will offer various ranges of spectral resolution between R similar to 30 to similar to 5000. In this article, we present some of the main science objectives that have driven the instrument design. We introduce the physical concept of MATISSE including a description of the signal on the detectors and an evaluation of the expected performance and discuss the project status. The operations concept will be detailed in a more specific future article, illustrating the observing templates operating the instrument, the data reduction and analysis, and the image reconstruction software.

关键词： eInterferometry Spectroscopy Mid-Infrared vLTI

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Binary plane technique for super resolution image reconstruction using integer wavelet transform

Binary plane technique for super resolution image reconstruc...

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International conference on Pattern Recognition, Informatics and Medical Engineering

作者： P. Ashok Babu K. v. S. v. R. Prasad Department of ECE Narsimha Reddy Engineering College Hyderabad Andhra Pradesh India Department of ECE M.S.S.V.H College of Engineering Machilipatnam Andhra Pradesh India

Super Resolution (SR) image reconstruction is the process of producing a high resolution (HR) image from many low resolution (LR) images. SR image reconstruction can be considered as the second generation restoration technique. In this paper we propose SR image reconstruction from clean, noisy and blurred images using binary plane technique (BPT) encoding and Integer wavelet Transform (IWT). Integer wavelet transform maps an integer data set into another integer data set. Objective and subjective analysis of the reconstructed image has a better super resolution factor and a higher qualitative metrics.

关键词： image reconstruction Noise Wavelet transforms Spatial resolution image coding

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Modeling Atherosclerotic Plaque Growth: A Case Report Based on a 3D Geometry of Left Coronary Arterial Tree from Computed Tomography

Modeling Atherosclerotic Plaque Growth: A Case Report Based ...

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IEEE 13th International conference on Bioinformatics and Bioengineering (BIBE)

作者： Sakellarios, Antonis I. Siogkas, Panagiotis K. Athanasiou, Lambros S. Exarchos, Themis P. Papafaklis, Michail I. Bourantas, Christos v. Naka, Katerina K. Iliopoulou, Dimitra Michalis, Lampros K. Filipovic, Nenad Parodi, Oberdan Fotiadis, Dimitrios I. Univ Ioannina Dept Mat Sci & Engn Unit Med Technol & Intelligent Informat Syst GR-45110 Ioannina Greece FORTH Inst Mol Biol & Biotechnol Dept Biomed Res GR-45110 Ioannina Greece Brigham & Womens Hosp Harvard Med Sch Cardiovasc Div Boston MA 02115 USA Erasmus Univ MC Ctr Thorax Dept Intervent Cardiol NL-3000 DR Rotterdam Netherlands Univ Ioannina Michaelide Cardiac Ctr Sch Med Dept Cardiol GR-45110 Ioannina Greece Inst Commun & Comp Syst Ioannina Greece Univ Kragujevac Kragujevac Serbia CNR Inst Clin Physiol I-56124 Pisa Italy

ISBN: (纸本)9781479931637

In this study, we present an innovative model for plaque growth utilizing a 3-Dimensional (3D) left coronary arterial tree reconstructed from computed tomographic (CT) data. The proposed model takes into consideration not only the effect of the local hemodynamic factors but also major biological processes such as the low density lipoprotein (LDL) and high density lipoprotein (HDL) transport, the macrophages recruitment and the foam cells formation. The endothelial membrane is considered semi-permeable and endothelial shear stress dependent, while its permeability is modeled using the Kedem-Katscalsky equations. Patient specific biological data are used for the accurate modeling of plaque formation process. The finite element method (FEM) is employed for the solution of the system of partial differential equations. The results of the simulation are compared to the plaque progression in a follow-up CT examination performed three years after the initial investigation. The results show that the proposed model can be used to predict regions prone for plaque development of progression.

关键词： biomembranes blood vessels cardiovascular system computerised tomography diseases finite element analysis haemodynamics image reconstruction medical image processing molecular biophysics partial differential equations proteins

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Study of soil microstructure using computer analysis of SEM-images

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International Symposium and 9th Asian Regional conference of IAEG "Global view of Engineering Geology and the Environment"

作者： Sokolov, v.N. Yurkovets, D.I. Razgulina, O.v. Chernov, M.S. Geology Faculty of the Lomonosov Moscow State University Moscow Russia

ISBN: (纸本)9781138000780

The paper describes a new system for quantitative analysis of soil microstructure-STIMAN-3D software, based on unique methods of SEM-images processing and analysis. Apart from basic morphological parameters of microstructure. STIMAN-3D enables obtaining integral classification characteristics, degree of structural elements orientation, pore channel tortuosity index, specific surface and permeability, etc. The software allows investigation of polydisperse and heterogeneous microstructures, as well as large-area analysis by panoramic images. The module of volumetric stereometric analysis aims to carry out 3D reconstruction of surface microrelief, obtaining height microrelief data with consequent calculation of various statistical volumetric characteristics of soils microstructure. Due to fully automated process of morphological image analysis, as well as because of wide range of parameters can be calculated, STIMAN-3D enables obtaining complete quantitative information about soil microstructure by small sample in a short period. Using this information one can explain properties and behavior of soils under the various conditions. © 2013 Taylor & Francis Group, London.

关键词： Soils

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A SFM-BASED SPARSE TO DENSE 3D FACE reconstruction METHOD ROBUST TO FEATURE TRACKING ERRORS

A SFM-BASED SPARSE TO DENSE 3D FACE RECONSTRUCTION METHOD RO...

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IEEE International conference on image Processing

作者： Chang Yang Jiansheng Chen Cong Xia Jing Liu Guangda Su Department of Electronic Engineering Tsinghua University Beijing China 100084

ISBN: (纸本)9781479923427

In this paper, we present a new sparse to dense 3D face reconstruction method using monocular video sequences. Structure from motion (SFM) is an effective method to reconstruct sparse 3D facial shape;however, its performance degrades drastically when tracking errors caused by self-occlusion or image noise exist. To address the problem, we propose a reliable point selection method to automatically evaluate the reliability of corresponding points obtained by optical flow. The gray level cooccurrence matrix (GLCM) is applied to the texture-based correlation evaluation and those points whose correlation coefficients are lower than a threshold will be removed. Benefiting from the SFM's capacity of dealing with missing data, our method is more robust to tracking point correspondence errors and accordingly achieves a lower 3D reconstruction error compared with traditional SFM methods without correlation checking.

关键词： SFM GLCM landmark points selection 3D face reconstruction Space Frequency Modulation three-dimensional displays video sequences Face image noise tracking missing data

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DESIGN AND IMPLEMENTATION OF THE WORKPLACE FOR IMAGING AND AFTERWARDS MEASUREMENT OF THE PLATE IN THE AREA OF THE CAROTIC ARTERY

DESIGN AND IMPLEMENTATION OF THE WORKPLACE FOR IMAGING AND A...

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13th International Multidisciplinary Scientific Geoconference, SGEM 2013

作者： Lichev, Lachezar Krumnikl, Michal Skanderova, Lenka Fabian, Tomas Tech Univ Ostrava Fac Elect Engn & Comp Sci Dept Comp Sci Ostrava Czech Republic

ISBN: (纸本)9789549181890

The paper deals with the design and implementation of the workplace for imaging and afterwards measurement of the plate in the area of the carotid artery. It is divided into two parts. hi the first part we describe the development and testing of the device for imaging of the arteriosclerotic plaque in the area of the carotid artery. The second one is focused on the software development for the analysis and measurement of the plate depicted on the ultrasonography images. The 3D image creation requires gaining 2D image data, followed by a3D reconstruction. The paper describes the extension of the standard ultrasonography probe by taking advantage of the precise setting of the probe and synchronization with the heart activity. As the synchronization signal ECG from the patient monitor is used. The system based on the microcontroller (generating control commands for the CD30M unit) is used to solve this assignment. The algorithm created in this processor generates commands for the control unit, which is synchronized with the patient monitor signal course. Next, the paper deals with the progression and regression analysis of the objects depicted on the ultrasonography images. The key objects are the atherosclerotic plates, located in the area of the carotid arteries. The approaches, using the general principles and methods to recognize the points of interest and objects in medical images which use known parameters and properties of analyzed objects, are described. The architecture of the FOTOM system and the process measurement visualization are briefly described here. In the last part the achieved results are assessed.

关键词： ultrasound probe RS-232 ATmega128 linear movement CD30M image analysis ultrasound images plaques FOTOM

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FOREGROUND AND BACKGROUND reconstruction IN POISSON vIDEO

FOREGROUND AND BACKGROUND RECONSTRUCTION IN POISSON VIDEO

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IEEE International conference on image Processing

作者： Eric C. Hall Rebecca M. Willett Department of Electrical and Computer Engineering Duke University NC 27708

ISBN: (纸本)9781479923427

image foreground and background separation is an essential step in a variety of image processing, video analysis, and computer vision tasks. Typically, these methods accept streaming video data, compute an estimate of the background, and subtract this from the observed frames to generate a foreground scene. While such methods are very effective in high SNR regimes, they face serious limitations in low-light settings occurring in night vision surveillance and astronomy. Existing methods cannot be easily modified to yield good results. Therefore, new methods must be created to deal with the low light setting. This paper specifically addresses the problem of foreground and background separation and reconstruction in the case of Poisson distributed observations. The proposed approach builds upon recent advances in both the online learning community and sparse reconstruction methods for Poisson images. To aid in the reconstruction and separation tasks, the method learns and incorporates the dynamics of objects in both the background and foreground in real time.

关键词： Photon-limited imaging Background estimation Object tracking Online optimization Sim'eon Denis Poisson videotapes tracking objects images reconstructions BACKGROUND reconstruction algorithm indium e-learning video data

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IEEE International conference on Acoustics, Speech and Signal Processing

作者： Tanaya Guha Rabab K. Ward Tyseer Aboulnasr Electrical and Computer Engineering The University of British Columbia

ISBN: (纸本)9781479903573

This paper presents a new approach to measuring the similarity between two images using sparse reconstruction. Our approach alleviates the difficulty of selecting and extracting suitable features from images which usually requires domain-specific knowledge. The proposed measure, the Sparse SNR (SSNR), does not use any prior knowledge about the data type or the application. SSNR is generic in the sense that it is applicable, without modification, to a variety of problems involving different types of images. Given a pair of images, a set of basis vectors (dictionary) is learnt for each image such that each image can be represented as a linear combination of a small number of its dictionary elements. Each image is reconstructed by two dictionaries - the one trained on the image itself and the second - trained on the other image. We develop a novel similarity measure based on the resulting reconstruction errors. To the best of our knowledge, this is the first attempt to develop a sparse reconstruction-based similarity measure. Excellent classification, clustering and retrieval results are achieved on benchmark datasets involving facial images and textures.

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