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检索条件"主题词=Reconstruction algorithm"

共 958 条记录，以下是61-70 订阅

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Improvement based on FDK reconstruction algorithm of conebeam CT

Improvement based on FDK reconstruction algorithm of conebea...

引用

Conference on Three-Dimensional and Multidimensional Microscopy - Image Acquisition and Processing XVII

作者： Miao, Hui Wang, Tingting Zhao, Huijuan Gao, Feng Tianjin Univ Coll Precis Instruments & Optoelect Engn Tianjin 300072 Peoples R China

ISBN: (纸本)9780819479662

As a typical 3D image algorithm, Feldkamp-David-Kress reconstruction algorithm is a filtered backprojection very similar to the 2D algorithm. Recent years, it has been widely used for its easy implementation and acceptable reconstruction precision for small cone-beam angle. For big cone-beam angles, however, the reconstruction exactness of horizontal planes will dramatically decrease with the distance from the central plane increases. Therefore, for improving the reconstruction precision in vertical direction, a similar reciprocal Gaussian function as the weighted factor was introduced into FDK algorithm in the article. The validity of the improved FDK algorithm was verified and evaluated through both the computer numerical simulation and the phantom model experiment. The quantitative analysis for the reconstruction results demonstrated that the reconstruction image using the improved FDK algorithm could primely revise the original reconstruction images and restore well closely to the tomography image of the prototype object.

关键词： FDK reconstruction cone-beam CT image reconstruction reconstruction algorithm

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A Novel reconstruction algorithm for Bioluminescent Tomography Based on Bayesian Compressive Sensing

A Novel Reconstruction Algorithm for Bioluminescent Tomograp...

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SPIE Biomedical Applications in Molecular, Structural and Functional Imaging Conference

作者： Wang, Yaqi Feng, Jinchao Jia, Kebin Sun, Zhonghua Wei, Huijun Beijing Univ Technol Coll Elect Informat & Control Engn Beijing 100022 Peoples R China

ISBN: (纸本)9781510600232

Bioluminescence tomography (BLT) is becoming a promising tool because it can resolve the biodistibution of bioluminescent reporters associated with cellular and subcellular function through several millimeters with to centimeters of tissues in vivo. However, BLT reconstruction is an ill-posed problem. By incorporating sparse a priori information about bioluminescent source, enhanced image quality is obtained for sparsity based reconstruction algorithm. Therefore, sparsity based BLT reconstruction algorithm has a great potential. Here, we proposed a novel reconstruction method based on Bayesian compressive sensing and investigated its feasibility and effectiveness with a heterogeneous phantom. The results demonstrate the potential and merits of the proposed algorithm.

关键词： Optical tomography Bioluminescence tomography (BLT) reconstruction algorithm Inverse Problem Sparsity Bayesian Compressive Sensing Diffusion approximation

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A Compressive Sensing reconstruction algorithm for Trinary and Binary Sparse Signals Using Pre-mappin

A Compressive Sensing Reconstruction Algorithm for Trinary a...

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Data Compression Conference (DCC)

作者： Zhang, Xinyu Chen, Zhuoyuan Wen, Jiangtao Ma, Jianwei Han, Yuxing Villasenor, John Tsinghua Univ Beijing Peoples R China Florida State Univ Tallahassee FL 32306 USA Univ Calif Los Angeles Los Angeles CA 90095 USA

ISBN: (纸本)9780769543529

In this paper, we first analyze impact of the distribution of sparse signals on reconstruction quality in compressive sensing through experimental results and heuristic analysis. We suggest that trinary/binary sparse signals are one of the most difficult signals to reconstruct in terms of error bounds. We then show that by incorporating linear or non-linear mapping prior to sensing, significant improvement in the recovery performance can be achieved.

关键词： reconstruction algorithm Compressed sensing heuristic analysis signals Binary

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3-Dimensional stereo implementation of photoacoustic imaging based on a new image reconstruction algorithm without using discrete Fourier transform

3-Dimensional stereo implementation of photoacoustic imaging...

引用

Conference on Three-Dimensional Imaging, Visualization, and Display

作者： Ham, Woonchul Song, Chulgyu Chonbuk Natl Univ Fac Div Elect & Informat Jeonju South Korea

ISBN: (纸本)9781510609396;9781510609402

In this paper, we propose a new three-dimensional stereo image reconstruction algorithm for a photoacoustic medical imaging, system. We also introduce and discuss a new theoretical algorithm by using the physical concept of Radon transform. The main key concept of proposed theoretical algorithm is to evaluate the existence possibility of the acoustic source within a searching region by using the geometric distance between each sensor element of acoustic detector and the corresponding searching region denoted by grid. We derive the mathematical equation for the magnitude of the existence possibility which can be used for implementing a new proposed algorithm. We handle and derive mathematical equations of proposed algorithm for the one dimensional sensing array case as well as two dimensional sensing array case too. A mathematical k-wave simulation data are used for comparing the image quality of the proposed algorithm with that of general conventional algorithm in which the FFT should be necessarily used. From the k-wave Matlab simulation results, we can prove the effectiveness of the proposed reconstruction algorithm..

关键词： photoacoustic reconstruction algorithm k-wave medical imaging GPU NOS FFT

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Channel Estimation Based on Dual-path reconstruction algorithm 2021

Channel Estimation Based on Dual-path Reconstruction Algorit...

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2nd International Conference on Artificial Intelligence and Information Systems (ICAIIS )

作者： Han, Mingzhi An, Chengquan Gao, Bo Harbin Engn Univ Coll Informat & Commun Engn Harbin Peoples R China

ISBN: (纸本)9781450390200

In the sparse channel estimation of Orthogonal Frequency Division Multiplexing (OFDM) systems, for any delay of the multipath channels, most of the channel estimation algorithms based on Compressed Sensing (CS) have only one estimate. In view of this situation, a Dual-path reconstruction (DR) algorithm is proposed based on the Orthogonal Matching Pursuit with Binary-search Refinement (OMPBR) algorithm. When locating a time delay in the actual channel, the algorithm provides two estimators to estimate the time delay. Ideally, the actual time delay is in the middle of the two estimators, and the errors of the two estimators cancel each other out. Through theoretical analysis and simulation results, it is confirmed that the accuracy of channel estimation achieved by the DR algorithm is higher than that achieved by the OMPBR algorithm.

关键词： OFDM channel estimation compressed sensing reconstruction algorithm

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Implementation of Medical Image reconstruction algorithm for Photoacoustic Imaging Using k-wave Toolkit 17

Implementation of Medical Image Reconstruction Algorithm for...

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17th IEEE International Conference on Bioinformatics and Bioengineering (BIBE)

作者： Batbayar, Enkhbat Lee, Ju Yeon Ham, Woonchul Tumenjargal, Enkhbaatar Song, Chulgyu Roh, Seungkuk Chonbuk Natl Univ Div Elect Jeonju 54896 South Korea

ISBN: (纸本)9781538613245

This paper describes the implementation of a proposed image reconstruction algorithm for stereo photo-acoustic medical imaging system. The main goal of this algorithm is to evaluate the existence possibility of acoustic source within a search area by using the geometric information which is the distance between each sensor element of ultrasound probe and corresponding searching point. We briefly describe the proposed algorithm in this paper which was comprehensively and clearly explained in our previous paper [1]. We also discussed an algorithm that is calculated the arc length of searching area corresponding to an element of acoustic detector. In this paper, some experimental results are presented which utilized the proposed algorithm with and without calculating arc length. We also compared the image quality of the proposed algorithm with and without calculating arc length and conventional k-wave algorithm in which FFT should be used. Apart from implementing the proposed algorithm with k-wave toolbox, we also implemented the hardware and software aspects of an ultrasound system that is explained in hardware implementation section of this paper. The simulation results proved the effectiveness of the proposed reconstruction algorithm with arc length calculation.

关键词： Photo-acoustic k-wave medical imaging GPU NON-FFT reconstruction algorithm

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A Robust RFPI-Based 1-Bit Compressive Sensing reconstruction algorithm

A Robust RFPI-Based 1-Bit Compressive Sensing Reconstruction...

引用

IEEE Information Theory Workshop (ITW)

作者： Movahed, Amin Panahi, Ashkan Durisi, Giuseppe Chalmers Univ Technol Dept Signals & Syst S-41296 Gothenburg Sweden

ISBN: (纸本)9781467302234;9781467302241

In this paper, we introduce a 1-bit compressive sensing reconstruction algorithm that is not only robust against bit flips in the binary measurement vector, but also does not require a priori knowledge of the sparsity level of the signal to be reconstructed. Through numerical experiments, we show that our algorithm outperforms state-of-the-art reconstruction algorithms for the 1-bit compressive sensing problem in the presence of random bit flips and when the sparsity level of the signal deviates from its estimated value.

关键词： reconstruction algorithm 1-bit Compressed sensing bit flipping Binary digits

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A Modified Image reconstruction algorithm Based on Compressed Sensing 4

A Modified Image Reconstruction Algorithm Based on Compresse...

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4th International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC)

作者： Wang, Aili Gao, Xue Gao, Yue Harbin Univ Sci & Technol Higher Educ Key Lab Measuring & Control Technol & Harbin Peoples R China

ISBN: (纸本)9781479965755

Compressed sensing theory is a new kind of making full use of signal sparsity or compressible sampling theory. The theory suggests that collecting a small amount of signal values can realize accurate reconstruction of sparse or compressed signal. Through the research and summary of the existing reconstruction algorithm, the paper proposes a new adaptive matching pursuit algorithm based on regularization Regularized Adaptive Matching Pursuit(RAMP) for compressed sensing signal reconstruction, called blocking sparsity adaptive regularized matching pursuit (BSARMP) algorithms. In order to reduce the scale of a single observation matrix processing and the single processing speed, a novel method based on image blocking is presented in this paper, thereby improving the overall running time.

关键词： matching pursuit compressed sensing sparse representation reconstruction algorithm

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High-Resolution Millimeter-wave Near-field Imaging with reconstruction algorithm Based on Antenna-radiation-pattern Deconvolution Processing

High-Resolution Millimeter-wave Near-field Imaging with Reco...

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Asia-Pacific Microwave Conference (APMC)

作者： Kojima, T. Mochizuki, S. Togo, H. Kukutsu, N. NTT Microsyst Integrat Labs Atsugi Kanagawa 2430198 Japan

ISBN: (纸本)9781457713309;9781457713316

This paper describes a new two-dimensional image reconstruction algorithm for enhancing spatial resolution in millimeter-wave near-field images. The algorithm deconvolutes the images with the near-field radiation pattern from an antenna, which is not based on plane-wave decomposition and provides a constant spatial resolution independent of antenna characteristics. This paper presents reconstruction results from images of a 0.2-mm-wide slit on a dielectric cube simulated and measured at 76.5 GHz. Experimental results demonstrated the spatial resolution of 1.08 mm (similar to lambda/4) with the algorithm, which is close to the highest resolution determined with the diffraction limit.

关键词： millimeter-wave imaging monostatic radar reconstruction algorithm near-field

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Trajectory reconstruction algorithm based on Sensor Fusion between IMU and Strain Gauge for Stand-alone Digital Pen

Trajectory Reconstruction Algorithm based on Sensor Fusion b...

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IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO)

作者： Toyozumi, Naoya Takahashi, Junji Lopez, Guillaume Aoyama Gakuin Univ Tokyo Japan

ISBN: (纸本)9781509043644

We aim to realize a novel pen based interface system that provides various digital operations for both low-tech and high-tech people. In this paper, we propose a novel sensor fusion method between IMUs (Inertial Measurement Unit) and strain gauges embedded on a pen device. By using strain gauges for obtaining the correct direction of pen tip movement during writing, cumulative errors caused by the intrinsic noise/drift of IMU can be corrected. Therefore our proposed sensor fusion method can reconstruct longer handwritten trajectories such as multiple characters including multiple strokes that have not been achieved by conventional methods. This paper provides a pen tip direction estimation method using strain gauges attached on ink cylinder, trajectory reconstruction method using IMUs, and the sensor fusion method of both estimation streams. The algorithms are evaluated by writing experiments conducted by a robotic manipulator.

关键词： Strain gauge reconstruction algorithm Sensor fusion latah fusion method pen digital pen trajectory injection pen interface system Robot Manipulator

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