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IEEE International Symposium on Antennas and Propagation (IEEE AP-S) / IEEE USNC-CNC-URSI Radio Science Meeting

作者： Migliaccio, Claire Pichot, Christian Platt, Ian Tan, Adrian Woodhead, Ian Univ Cote Azur CNRS LEAT F-06903 Sophia Antipolis France Lincoln Agritech Ltd Canterbury New Zealand

We investigate the performance of a fast reconstruction algorithm based a Backpropagation algorithm for 3D Microwave Imaging of Body Part Anomalies.

ISBN: (纸本)9781728166704

We investigate the performance of a fast reconstruction algorithm based a Backpropagation algorithm for 3D Microwave Imaging of Body Part Anomalies.

关键词： microwave imaging biomedical electromagnetic imaging diffraction backpropagation reconstruction algorithm

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Sparse Signal reconstruction algorithm Based On Residual Descent 26

Sparse Signal Reconstruction Algorithm Based On Residual Des...

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26th International Conference on Systems, Signals and Image Processing (IWSSIP)

作者： Lu, Dongxue Sun, Guiling Li, Zhouzhou Li, Yangyang Nankai Univ Coll Elect Informat & Opt Engn Tianjin 300350 Peoples R China

ISBN: (纸本)9781728132273

To solve the problem of a compression sampling matching pursuit algorithm (CoSaMP) poor reconstruction result and inaccurate index selection, an improved reeonstruction algorithm, called residual descent OMP (RdOMP), is proposed. The proposed algorithm introduces a residual comparison strategy to enhance the effectiveness of the backtracking indexes. This backtracking strategy, which is based on the residual descent, can flexibly select backtracking indexes. Without increasing the computational complexity, the proposed algorithm has a higher exact reconstruction rate. Different simulations show that the proposed algorithm can restore the sparse signal efficiently and reconstruct the sparse signal with a high probability.

关键词： backtracking compressed sensing reconstruction algorithm residual descent

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Implementation of An Ultrasound platform for Proposed Photoacoustic Image reconstruction algorithm 18

Implementation of An Ultrasound platform for Proposed Photoa...

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18th IEEE International Conference on Bioinformatics and Bioengineering

作者： Batbayar, Enkhbat Tumenjargal, Enkhbaatar Song, Chulgyu Ham, Woonchul Chonbuk Natl Univ Elect Div Jeonju South Korea

ISBN: (纸本)9781538662175

Photoacoustic tomography is a quickly growing imaging method that can provide images of high spatial resolution and high contrast at a limited depths. Medical photoacoustic processing characteristics two main components: A transducer is required to transmit laser pulses and acquire the reflected ultrasound signals and a back-end processing system that will generate the final reconstructed image. In this paper, we introduce an implementation of the receive part of proposed embedded system and briefly discuss reconstruction algorithms which are used in medical imaging systems. Furthermore, an intellectual property core (IP-core), which can be controlled and configured by a user application on Zynq-7000 System-On-Chip (SoC) via AXI-Lite Interface, that can receive multichannel digitized raw signals from Analog-Front-End (AFE) device via Low Voltage Differential Signal (LVDS), is proposed for photoacoustic imaging systems. Besides, block diagram of the system, the hardware design flow and the proposed IP-core are fully described in this paper. In order to effortlessly test and evaluate a wide variety of ultrasonic signal processing applications, 16 channel system is implemented and demonstrated by using TI AFE5816 Evaluation module (EVM) based on AFE5816 device and Xilinx ZC702 Evaluation Kit based on Zynq-7000 SoC. Apart from working on hardware, we review and commented on the proposed 3-Dimensional photoacoustic image reconstruction algorithm.

关键词： Photo-acoustic image portable ultrasound system multichannel AFE reconstruction algorithm

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A 3D Acoustic Temperature Field reconstruction algorithm Using Adaptive Regularization Parameter

A 3D Acoustic Temperature Field Reconstruction Algorithm Usi...

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IEEE International Conference on Imaging Systems and Techniques (IST)

作者： Yan, Hua Wang, Shan Hui Zhou, Ying Gang Liu, Li Jun Shenyang Univ Technol Sch Informat Sci & Engn Shenyang Peoples R China

ISBN: (纸本)9781467357913

Acoustic temperature field reconstruction is an ill-posed problem. This means especially that their solution is unstable under data perturbations. Numerical methods that can cope with this problem are the so-called regularization methods. The choice of a regularization parameter has an important influence on reconstruction accuracy. In this paper, a 3D acoustic temperature field reconstruction algorithm is proposed. It uses a new criterion for choosing the regularization parameter, which makes a good compromise between de-noise and detail reconstruction of the temperature field. reconstructions of a single-peak temperature field by using simulated travel-times corrupted with different level noises demonstrate that the new algorithm has high reconstruction accuracy and good anti-noise ability.

关键词： 3D acoustic travel-time tomography reconstruction algorithm 3D temperature field adaptive regularization parameter

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A BPF reconstruction algorithm for CBCT with a Half-size Flat Panel Detector

A BPF Reconstruction Algorithm for CBCT with a Half-size Fla...

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IEEE Nuclear Science Symposium/Medical Imaging Conference (NSS/MIC)/18th International Workshop on Room-Temperature Semiconductor X-Ray and Gamma-Ray Detectors

作者： Hao, Jia Li, Liang Zhang, Li Chen, Zhiqiang Kang, Kejun Tsinghua Univ Dept Engn Phys Beijing 100084 Peoples R China

ISBN: (纸本)9781467301206

Flat-panel detectors (FPDs) have emerged as the next generation digital X-ray technology. They are more sensitive, faster and cheaper than film. Nowadays, FPDs are widely used in industrial radiography and medical imaging. We design an experimental dental cone-beam CT (CBCT) system using a small size FPD off-center placed. The field of view (FOV) of detector can cover only half of the scanned object in every scan angle. Typical FDK reconstruction algorithm is not available in this system because of transversely truncated projections. A 3D BPF-type reconstruction algorithm using a modified finite Hilbert transform method is researched for this kind of CBCT system with off-center half-size FPD. This reconstruction method is validated by simulation study and practical experiments with an anthropomorphic tooth phantom. We compare the reconstruction results with the other methods. The preliminary experiment results prove its feasibility in reconstruction of CBCT with transversely truncated projections.

关键词： CBCT BPF Hilbert transform reconstruction algorithm half-size detector

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Research on Compressive Sensing reconstruction algorithm Based on Total Variation Model

Research on Compressive Sensing Reconstruction Algorithm Bas...

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Conference on LIDAR Imaging Detection and Target Recognition

作者： Gao, Yu-xuan Sun, Hua-yan Zhang, Ting-hua Du, Lin Acad Equipment Beijing 101416 Peoples R China

ISBN: (数字)9781510617070

ISBN: (纸本)9781510617070;9781510617063

Compressed sensing for breakthrough Nyquist sampling theorem provides a strong theoretical, making compressive sampling for image signals to be carried out simultaneously. In traditional imaging procedures using compressed sensing theory, not only can it reduces the storage space, but also can reduce the demand for detector resolution greatly. Using the sparsity of image signal, by solving the mathematical model of inverse reconfiguration, realize the super-resolution imaging. reconstruction algorithm is the most critical part of compression perception, to a large extent determine the accuracy of the reconstruction of the image. The reconstruction algorithm based on the total variation (TV) model is more suitable for the compression reconstruction of the two-dimensional image, and the better edge information can be obtained. In order to verify the performance of the algorithm, Simulation Analysis the reconstruction result in different coding mode of the reconstruction algorithm based on the TV reconstruction algorithm. The reconstruction effect of the reconfigurable algorithm based on TV based on the different coding methods is analyzed to verify the stability of the algorithm. This paper compares and analyzes the typical reconstruction algorithm in the same coding mode. On the basis of the minimum total variation algorithm, the Augmented Lagrangian function term is added and the optimal value is solved by the alternating direction method. Experimental results show that the reconstruction algorithm is compared with the traditional classical algorithm based on TV has great advantages, under the low measurement rate can be quickly and accurately recovers target image.

关键词： Compressive sensing super-resolution imaging total variation reconstruction algorithm

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Adaptation of a Fast 3D PET reconstruction algorithm to an Inverse-Geometry CT System

Adaptation of a Fast 3D PET Reconstruction Algorithm to an I...

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15th International Workshop on Room-Temperature Semiconductor X- and Gamma-Ray Detectors/ 2006 IEEE Nuclear Science Symposium

作者： Mazin, Samuel R. Pelc, Norbert J. IEEE

ISBN: (纸本)9781424405619

Inverse-geometry CT (IGCT) is a new type of volumetric CT geometry. Volumetric coverage and high isotropic resolution demand a fast 3D reconstruction algorithm. The purpose of this work is to evaluate a very fast algorithm based on Defrise's Fourier Rebinning (FORE) algorithm for PET. IGCT employs a large array of focal spots opposite a detector array that shares the same axial extent as the source but is much smaller in the transverse direction. A single rotation is sufficient to acquire a 10 cm thick volume with isotropic resolution. A 3D reconstruction algorithm was developed based on FORE. For comparison, a Feldkamp-like algorithm was developed that generates an average of Feldkamp reconstructions from each source row. Projection data for a numerical torso phantom and a numerical "Defrise" phantom were simulated under the IGCT geometry. To evaluate the FORE algorithm on a real data set, a prototype IGCT system was assembled involving a 100x100 scanned-anode source array and a 48x48 photon-counting detector array mounted on a C-arm system (NovaRay, Inc., Palo Alto, CA). An anthropomorphic phantom containing a real porcine heart was scanned in a step-and- shoot mode with the C-arm in a horizontal orientation. The FORE algorithm averaged 30 sec/slice while Feldkamp averaged 30 min/slice. Like Feldkamp, FORE suffers from cone-beam blurring in z, however it does not suffer from cone-beam streaking artifacts. FORE proved to be both fast and reasonably accurate.

关键词： volume CT inverse-geometry CT reconstruction algorithm rebinning

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Efficient implementation of a local tomography reconstruction algorithm

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ADVANCED STRUCTURAL AND CHEMICAL IMAGING 2017年第1期3卷 5页

作者： Paleo, Pierre Mirone, Alessandro ESRF European Synchrotron 71 Ave Martyrs F-38043 Grenoble France Univ Grenoble 11 Rue Math F-38400 St Martin Dheres France

We propose an efficient implementation of an interior tomography reconstruction method based on a known subregion. This method iteratively refines a reconstruction, aiming at reducing the local tomography artifacts. To cope with the ever increasing data volumes, this method is highly optimized on two aspects: firstly, the problem is reformulated to reduce the number of variables, and secondly, the operators involved in the optimization algorithms are efficiently implemented. Results show that 4096 2 slices can be processed in tens of seconds, while being beyond the reach of equivalent exact local tomography method.

关键词： Tomography Interior problem Local tomography reconstruction algorithm

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A fast reconstruction algorithm for bioluminescence tomography based on smoothed l₀ norm regularization

A fast reconstruction algorithm for bioluminescence tomograp...

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8th Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR) - Parallel Processing of Images and Optimization and Medical Imaging Processing

作者： He, Xiaowei Yu, Jingjing Geng, Guohua Guo, Hongbo NW Univ Xian Sch Informat Sci & Technol Xian 710069 Peoples R China

ISBN: (纸本)9780819498052

As an important optical molecular imaging technique, bioluminescence tomography (BLT) offers an inexpensive and sensitive means for non-invasively imaging a variety of physiological and pathological activities at cellular and molecular levels in living small animals. The key problem of BLT is to recover the distribution of the internal bioluminescence sources from limited measurements on the surface. Considering the sparsity of the light source distribution, we directly formulate the inverse problem of BLT into an l(0)-norm minimization model and present a smoothed l(0)-norm (SL0) based reconstruction algorithm. By approximating the discontinuous l(0) norm with a suitable continuous function, the SL0 norm method solves the problem of intractable computational load of the minimal l(0) search as well as high sensitivity of l(0)-norm to noise. Numerical experiments on a mouse atlas demonstrate that the proposed SL0 norm based reconstruction method can obtain whole domain reconstruction without any a priori knowledge of the source permissible region, yielding almost the same reconstruction results to those of l(1) norm methods.

关键词： bioluminescence tomography reconstruction algorithm sparse regularization finite element method

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A Relaxed Iterative Thresholding reconstruction algorithm Based on Compressed Sensing

A Relaxed Iterative Thresholding Reconstruction Algorithm Ba...

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2nd International Conference on Network Computing and Information Security (NCIS 2012)

作者： Li, Bingjie Li, Guangfei Ye, Meng Zheng, Mingfa Lv, Yuan AF Engn Univ Sch Sci Xian 710051 Shan Xi Peoples R China

ISBN: (纸本)9783642352102

Based on the iterative hard thresholding (IHT) algorithm, this paper presents the relaxed iterative thresholding algorithm which is a modified algorithm of the conventional IHT algorithm. By introducing the relaxed factors, modifying the iterative formulae and proposing the relaxed algorithm correspondingly, we acquired the least number of iterations and error estimate required by the measurement matrices of satisfying the RIP. Compared with the IHT algorithm, the method presented in this paper not only has the advantages of keeping linear stability and clearly delimiting the upper limit of the number of iterations, but also obtains the same computational precision with the less number of iterations which saves the labor of calculation. Finally, taking the Hadamard orthogonal basis as sparse basis, the random Gaussian matrix as measurement matrix, we have verified the validity of the algorithm proposed above by experimental simulation.

关键词： compressed sensing measurement matrix reconstruction algorithm iterative hard thresholding algorithm

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