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检索条件"任意字段=Conference on Image Reconstruction from Incomplete Data III"

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Iterative image reconstruction in photoacoustic tomography using Kaiser-Bessel windows

Iterative image reconstruction in photoacoustic tomography u...

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conference on Photons Plus Ultrasound - Imaging and Sensing

作者： Schoonover, Robert W. Wang, Kun Anastasio, Mark A. Washington Univ Dept Biomed Engn St Louis MO 63130 USA

ISBN: (纸本)9780819493507

Iterative image reconstruction algorithms for photoacoustic computed tomography (PACT) have the ability to improve image quality over analytic algorithms due to their ability to mitigate artifacts from incomplete data, incorporate the relevant imaging physics, and model the instrument response. In this work, Kaiser-Bessel functions are employed as the basis functions in an iterative reconstruction algorithm for PACT. Kaiser-Bessel functions, or blobs, can be made arbitrarily smooth (differentiable to arbitrary order), have finite spatial support, and can be made quasi-bandlimited in the spatial Fourier domain. Closed-form solutions exist in the time-domain and the temporal-frequency domain for the pressure signal generated by blobs.

关键词： photoacoustic tomography image reconstruction iterative reconstruction

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Dual Energy CT reconstruction Method for incomplete High Energy data

Dual Energy CT Reconstruction Method for Incomplete High Ene...

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60th IEEE Nuclear Science Symposium (NSS) / Medical Imaging conference (MIC) / 20th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors

作者： Shen, Le Xing, Yuxiang Jin, Xin Tsinghua Univ Dept Engn Phys Beijing 100084 Peoples R China

ISBN: (纸本)9781479905348

Dual energy computed tomography (DECT) has played an important role in homeland security because of its capability in material discrimination, which makes it more competitive in explosives detection than normal single energy CT. However, the system cost from the high energy detector crystal is one of the primary obstacles to the widespread deployment of DECT. In this paper, we proposed a novel DECT system scheme reconstruction method dealing with the incomplete high energy data problems. Experimental results demonstrate the high energy detector can be reduced significantly with little image degradation.

关键词： Explosives detection

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Geoaccurate 3-dimensional reconstruction via image-based geometry

Geoaccurate 3-dimensional reconstruction via image-based geo...

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conference on Geospatial InfoFusion iii

作者： Walvoord, Derek J. Rossi, Adam J. Paul, Bradley D. Brower, Bernie Pellechia, Matthew F. Exelis Inc Rochester NY USA

ISBN: (纸本)9780819495389

Recent technological advances in computing capabilities and persistent surveillance systems have led to increased focus on new methods of exploiting geospatial data, bridging traditional photogrammetric techniques and state-of-the-art multiple view geometry methodology. The structure from motion (SfM) problem in Computer Vision addresses scene reconstruction from uncalibrated cameras, and several methods exist to remove the inherent projective ambiguity. However, the reconstruction remains in an arbitrary world coordinate frame without knowledge of its relationship to a fixed earth-based coordinate system. This work presents a novel approach for obtaining geoaccurate image-based 3-dimensional reconstructions in the absence of ground control points by using a SfM framework and the full physical sensor model of the collection system. Absolute position and orientation information provided by the imaging platform can be used to reconstruct the scene in a fixed world coordinate system. Rather than triangulating pixels from multiple image-to-ground functions, each with its own random error, the relative reconstruction is computed via image-based geometry, i.e., geometry derived from image feature correspondences. In other words, the geolocation accuracy is improved using the relative distances provided by the SfM reconstruction. Results from the Exelis Wide-Area Motion imagery (WAMI) system are provided to discuss conclusions and areas for future work.

关键词： geoaccurate triangulation scene reconstruction point clouds WAMI

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Design of Electrical Capacitance Tomography Hardware System

Design of Electrical Capacitance Tomography Hardware System

引用

3rd International conference on Advanced Engineering Materials and Technology (AEMT 2013)

作者： Cao, Haiyan Duan, Xuemei Wang, Huaxiang Shijiazhuang Univ Econ Dept Informat Engn Shijiazhuang 050031 Peoples R China Shijiazhuang Univ Econom Coll Foreign Languages Shijiazhuang Peoples R China Tianjin Univ Sch Elect Engn & Automat Tianjin Peoples R China

ISBN: (纸本)9783037857649

To simplify the excitation generation and data acquisition of the electrical capacitance tomography (ECT) system, a simple hardware design for ECT system was developed. The theory and hardware architecture of the ECT system were introduced. Under the control of DSP, the excitation and measure of entire system were controlled, the conversion of voltage signal from capacitance/voltage (CN) to analog/digital (A/D) was controlled. After demodulation and filter, the reconstruction images were achieved through communication circuit to computer by DSP. The experiments show that the real-time of system and the quality of reconstruction image are satisfactory, can meet the requirements of practical application.

关键词： electrical capacitance tomography digital signal processor CN conversion circuit demodulation and filter reconstruction image

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LFIQ: Latent Fingerprint image Quality

LFIQ: Latent Fingerprint Image Quality

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IEEE 6th International conference on Biometrics - Theory, Applications and Systems (BTAS)

作者： Yoon, Soweon Cao, Kai Liu, Eryun Jain, Anil K. Michigan State Univ Dept Comp Sci & Engn E Lansing MI 48824 USA

ISBN: (纸本)9781479905270

Latent fingerprint images are typically obtained under non-ideal acquisition conditions, resulting in, incomplete or distorted impression of a finger;and ridge structure corrupted by background noise. This necessitates involving latent experts in latent fingerprint examination, including assessing the value of a latent print as forensic evidence. However.;it is now generally agreed that human factors (e.g., human visual perception, expertise of latent examiners, workload, etc.) can significantly affect the reliability and consistency of the value determinations made by latent examiners. We propose an objective quality measure for latent,fingerprints, called Latent Fingerprint image Quality (LFIQ), that can be effectively used to distinguish latent fingerprints of good quality, which do not require any human intervention, and to compensate for the subjective nature of value determination by latent examiners. We investigate several factors that determine the latent quality: (i) ridge quality based on ridge clarity and connectivity of good ridge structures, (ii) minutiae reliability based on a minutiae dictionary learnt from high quality minutia patches, and (iii) position of the finger by detecting a reference point. The proposed LFIQ metric is based on triangulation of minutiae incorporating the above three factors. Experimental results show that (i) the proposed LFIQ is a good predictor of the latent matching performance by AFIS and (ii) it is also correlated with value determination by latent examiners.

关键词： Accuracy Dictionaries Fingerprint recognition image matching image reconstruction NIST Reliability

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image annotation with weak labels

Image annotation with weak labels

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14th International conference on Web-Age Information Management, WAIM 2013

作者： Tian, Feng Shen, Xukun State Key Laboratory of Virtual Reality Technology and Systems Beihang University 100191 Beijing China School of Computer and Information Technology Northeast Petroleum University 163318 Daqing China

ISBN: (纸本)9783642385612

In this paper, we address the problem of image annotation when the given labels of training image are incomplete, inaccurate, and unevenly distributed, in the form of weak labels, which is frequently encountered when dealing with large scale web image training set. We introduce a progressive semantic neighborhood learning approach that explicitly addresses the challenge of learning from weakly labeled image by searching image's semantic consistent neighborhood. Neighbors in image's semantic consistent neighborhood have global similarity, partial correlation, conceptual similarity along with semantic balance. We also present an efficient label inference algorithm to handle noise by minimizing the neighborhood reconstruction error. Experiments with different data sets show that the proposed framework is more effective than the state-of-the-art algorithms in dealing with weakly labeled datasets. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： image annotation

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The research on 3D building model based on point cloud data

The research on 3D building model based on point cloud data

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3rd International conference on Green Building, Materials and Civil Engineering (GBMCE 2013)

作者： Huang, Zuowei He, Shu Qiu, Luo Hunan Univ Technol Sch Architecture & Urban Planning Zhuzhou 412008 Peoples R China Cent South Univ Technol Sch Geosci & Informat Phys Changsha 410083 Peoples R China

ISBN: (纸本)9783037857922

In order to improve the efficiency of 3D buildings reconstruction, based on the previous related advance technology and theory, It put forward a novel method for detecting building contours in irregularly triangulated point cloud data, On the condition that image resolution and density of the point cloud scale it adopt a new registration method, improve the LIDAR point cloud data with registration accuracy on remote sensing images. which make building reconstruction from these data sources feasible and reliable. It is also meaningful for virtual reality, urban planning, and simulation of disaster scenarios etc. finally the experimental results show that the proposed method can obtain more accurate results in comparison with the previous method.

关键词： DSM 3D reconstruction edge detection building

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Microresistivity image inpainting and visualization

Microresistivity image inpainting and visualization

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SPE Annual Technical conference and Exhibition, ATCE 2013

作者： Assous, S. Whetton, J. Elkington, P.A.S. Weatherford United States

ISBN: (纸本)9781629931876

Borehole microresistivity images are an important source of high resolution information with broad application in geology and petrophysics. They contain large volumes of data which (for reasons of efficiency and reproducibility) makes it desirable to automate aspects of quantitative analysis such as feature extraction. One of several hurdles to be addressed in this challenge is the typically incomplete circumferential coverage of measurements from wireline tools (often less than 70%). Robust estimates of the missing information have been obtained by decomposing the measured parts into sparse representations of their morphological components using dictionaries of multi-scale, multi-orientation transforms;reconstructing these representations recovers missing information to an extent dependent on the dictionaries. In clastic rock formations the most useful transforms are found to be curvelets, which have been used to reconstruct a broad range of attributes including common continuous curvilinear features such as partial and full sinusoids, as well as textural elements. The method has been tested on full-coverage data from small diameter wells artificially obscured to simulate partial coverage. For images dominated by curvilinear features, reconstruction accuracy is 92% for 50% coverage loss (typical in 12.25 inch diameter wells), and at 30% loss (typical in 8.5 inch wells) images are almost indistinguishable from the original unobscured images for all apparent dip angles below near-vertical, regardless of degree of feature parallelism (or lack thereof). Successful reconstruction of near-vertical features (including those with complex boundaries such as breakouts) is more dependent on coverage loss, but in these cases the results are consistent with judgments made by human interpreters. The utility of these inpainted images is further enhanced by visualizations that improve on the universally-used static and dynamically normalized image displays by (for example) renderi

关键词： Visualization

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Improved Myocardial Scar Characterization by Super-Resolution reconstruction in Late Gadolinium Enhanced MRI

Improved Myocardial Scar Characterization by Super-Resolutio...

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16th International conference on Medical image Computing and Computer Assisted Intervention (MICCAI)

作者： Dzyubachyk, Oleh Tao, Qian Poot, Dirk H. J. Lamb, Hildo Zeppenfeld, Katja Lelieveldt, Boudewijn P. F. van der Geest, Rob J. Leiden Univ Dept Radiol Med Ctr Leiden Netherlands Leiden Univ Dept Cardiol Med Ctr Leiden Netherlands Erasmus MC Univ Med Ctr Rotterdam Dept Radiol & Med Informat Rotterdam Netherlands Delft Univ Technol Intelligent Syst Dept NL-2600 AA Delft Netherlands

ISBN: (纸本)9783642407604;9783642407598

image resolution is an important factor for accurate myocardial scar assessment from late gadolinium enhanced (LGE) MR. It has been shown that the conventionally used short-axis (SA) LGE acquisition with anisotropic resolution may overestimate the scar size due to partial volume effect, undermining the prognostic and diagnostic accuracy of LGE MRI in critical clinical applications. In this work, we present a method for combining three complementary anisotropic orthogonal LGE sequences of the heart region into a single isotropic volume. Our algorithm is based on the super-resolution reconstruction technique and employs joint localized gradient-correlation-based technique for compensation of breathing motion. The proposed method was validated on the gold standard electroanatomical voltage mapping (EAVM) data of 15 post-infarction patients. The reconstructed myocardial scar image demonstrated improved agreement with the EAVM compared to the conventional SA image, especially at the clinically significant gray zone region.

关键词： Myocardial scar late gadolinium enhanced MR image registration super-resolution reconstruction

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Structural Prior Enhanced Compressed Sensing for CT reconstruction with incomplete data

Structural Prior Enhanced Compressed Sensing for CT Reconstr...

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IEEE Nuclear Science Symposium

作者： Le Shen Yuxiang Xing Xin Jin department of engineering physics Nuctech Co. Beijing China

CT image reconstruction from incomplete projection data is a challenging problem. Among massive reconstruction methods, iterative reconstruction based on compressed sensing (CS) is a promising one that enables us to accurately recovery signals from highly under-sample data when the signals have a sparse representation, which usually can be done by the constrained l_1 minimization. The total variation (TV) minimization is a commonly used sparsity constraint, which assumes the target image is piece-wise constant. TV based CS algorithm has been successfully applied to solve many computed tomography problems, such as few views and interior reconstruction. In this work, we proposed a novel CS algorithm combined with a prior image to enhance the TV sparsity, namely structural prior enhanced compressed sensing (SPECS). Numerical simulation indicates SPECS is effective and robust for many kinds of incomplete data cases.

关键词： image reconstruction TV Detectors Computed tomography Compressed sensing Transforms reconstruction algorithms

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