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Hybrid source translation scanning mode for interior tomography

OPTICS EXPRESS 2023年第8期31卷 13342-13356页

作者： Ni, Song Yu, Haijun Chen, Jie Liu, Chuanjiang Liu, Fenglin Chongqing Univ Coll Mech & Vehicle Engn Chongqing Peoples R China Chongqing Univ Key Lab Optoelect Technol & Syst Minist Educ Chongqing 400044 Peoples R China Chongqing Univ Engn Res Ctr Ind Computed Tomog Nondestruct Testin Minist Educ Chongqing 400044 Peoples R China

Interior tomography is a promising technique that can be used to image large objects with high acquisition efficiency. However, it suffers from truncation artifacts and attenuation value bias due to the contribution from the parts of the object outside the ROI, which compromises its ability of quantitative evaluation in material or biological studies. In this paper, we present a hybrid source translation scanning mode for interior tomography, called hySTCT-where the projections inside the ROI and outside the ROI are finely sampled and coarsely sampled respectively to mitigate truncation artifacts and value bias within the ROI. Inspired by our previous work-virtual projection-based filtered backprojection (V-FBP) algorithm, we develop two reconstruction methods-interpolation V-FBP (iV-FBP) and two-step V-FBP (tV-FBP)-based on the linearity property of the inverse Radon transform for hySTCT reconstruction. The experiments demonstrate that the proposed strategy can effectively suppress truncated artifacts and improve the reconstruction accuracy within the ROI.(c) 2023 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement

关键词： Attenuation Image quality Image reconstruction reconstruction algorithms Spatial resolution Tomography

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Color 3D display and security via monochrome scenes

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OPTICS LETTERS 2023年第7期48卷 1570-1573页

作者： Guo, Junfeng Kou, Yu Kim, Seok-Tae Li, Xiaowei Sichuan Univ Sch Elect & Informat Engn Chengdu 610065 Peoples R China Pukyong Natl Univ Dept Informat & Commun Busan South Korea Sichuan Univ Sch Aeronaut & Astronaut Chengdu 610065 Peoples R China

Color three-dimensional (3D) displays have always been the ideal display method because of their strong sense of real-ity, whereas color 3D displays of monochrome scenes are still challenging and unexplored. A color stereo reconstruc-tion algorithm (CSRA) is proposed to solve the issue. We design a deep learning-based color stereo estimation (CSE) network to obtain color 3D information of monochrome scenes. The vivid color 3D visual effect is verified by our self-made display system. Furthermore, an efficient CSRA-based 3D image encryption scheme is achieved by encrypting a monochrome image with two-dimensional double cellu-lar automata (2D-DCA). The proposed encryption scheme fulfills the requirement for real-time and high-security 3D image encryption with a large key space and the parallel processing capability of 2D-DCA. (c) 2023 Optica Publishing Group

关键词： Image encryption Lens arrays Parallel processing reconstruction algorithms Three dimensional displays Three dimensional imaging

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Self-supervised learning for single-pixel imaging via dual-domain constraints

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OPTICS LETTERS 2023年第7期48卷 1566-1569页

作者： Chang, Xuyang Wu, Ze Li, Daoyu Zhan, Xinrui Yan, Rong Bian, Liheng Beijing Inst Technol MIIT Key Lab Complex field Intelligent Sensing Beijing 100081 Peoples R China Beijing Inst Technol Adv Res Inst Multidisciplinary Sci Beijing 100081 Peoples R China Beijing Inst Technol Sch Informat & Elect Beijing 100081 Peoples R China Beijing Inst Technol Jiaxing Yangtze Delta Reg Acad Jiaxing 314019 Peoples R China

Deep-learning-augmented single-pixel imaging (SPI) provides an efficient solution for target compressive sensing. However, the conventional supervised strategy suffers from laborious training and poor generalization. In this Letter, we report a self-supervised learning method for SPI reconstruction. It introduces dual-domain constraints to integrate the SPI physics model into a neural network. Specifically, in addition to the traditional measurement constraint, an extra transformation constraint is employed to ensure target plane consistency. The transformation constraint uses the invariance of reversible transformation to impose an implicit prior, which avoids the non-uniqueness of measurement constraint. A series of experiments validate that the reported technique realizes self-supervised reconstruction in various complex scenes without any paired data, ground truth, or pre-trained prior. It can tackle the underdetermined degradation and noise, with similar to 3.7-dB improvement on the PSNR index compared with the existing method. (c) 2023 Optica Publishing Group

关键词： Light fields Low light levels Machine vision Neural networks reconstruction algorithms Spatial light modulators

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Interferometry Modeling and Height reconstruction for High-Rise Buildings in Complex Scenes Based on One Single Interferogram

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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2024年 62卷 1页

作者： Zhuang, Di Zhang, Lamei Zou, Bin Harbin Inst Technol Harbin 150001 Peoples R China

Benefiting from the advantages of height sensitivity, the short time span, and the low data cost, interferometric synthetic aperture radar (InSAR) technology has the potential for 3-D reconstruction. However, the layover problem has always been the limitation for the InSAR-based height reconstruction of buildings in complex scenes because of the mixing of scatterings from building facade, roof, and other interferers. In this article, the above layover problem was addressed, and the height reconstruction of buildings in complex scenes was first achieved based on one single interferogram. Specifically, the layover mechanism in complex scenes in the InSAR system was fundamentally explored and was summarized as a general interferometry model. Based on the established model, a height reconstruction method for high-rise buildings was proposed. The main idea is to recognize the facade scattering-dominated area and then reconstruct the complete facade interferometric phase based on the interferometry model and derived facade phase gradient characteristic. Finally, the building height can be obtained based on the phase-height conversation. TerraSAR-X InSAR data in six different complex scenes were used for experiments. For results based on the proposed method, the mean absolute error and root-mean-square error are less than 1.2 m, and compared with the building height reconstruction based on the original layover phase, the accuracy is improved by several meters to tens of meters, indicating that the height reconstruction of buildings in complex scenes can be achieved with high accuracy based on the proposed method.

关键词： Buildings Image reconstruction Interferometry Electromagnetic scattering Surface roughness Rough surfaces reconstruction algorithms Building height reconstruction complex scenes interferometric synthetic aperture radar (InSAR) interferometry modeling layover

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DiffuserSpec: spectroscopy with Scotch tape

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OPTICS LETTERS 2023年第2期48卷 323-326页

作者： Malone, Joseph D. Aggarwal, Neerja Waller, Laura Bowden, Audrey K. Vanderbilt Univ Vanderbilt Biophoton Ctr Nashville TN 37232 USA Vanderbilt Univ Dept Biomed Engn Nashville TN 37232 USA Univ Calif Berkeley Dept Elect Engn & Comp Sci Berkeley CA 94720 USA Vanderbilt Univ Dept Elect & Comp Engn Nashville TN 37232 USA

Computational spectroscopy breaks the inherent one-to-one spatial-to-spectral pixel mapping of traditional spectrometers by multiplexing spectral data over a given sensor region. Most computational spectrometers require components that are complex to design, fabricate, or both. DiffuserSpec is a simple computational spectrometer that uses the inherent spectral dispersion of commercially available diffusers to generate speckle patterns that are unique to each wavelength. Using Scotch tape as a diffuser, we demonstrate narrowband and broadband spectral reconstructions with 2-nm spectral resolution over an 85-nm bandwidth in the near-infrared, limited only by the bandwidth of the calibration dataset. We also investigate the effect of spatial sub-sampling of the 2D speckle pattern on resolution performance.

关键词： Near infrared radiation Optical components reconstruction algorithms Speckle patterns Spectrometers Spectroscopy

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Towards true volumetric refractive index investigation in tomographic phase microscopy at the cellular level

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OPTICS CONTINUUM 2023年第2期2卷 484-489页

作者： Baczewska, Maria Mazur, Martyna Krauze, Wojciech Warsaw Univ Technol Inst Micromech & Photon Ul Sw A Boboli 8 PL-02525 Warsaw Poland

Tomographic phase microscopy (TPM) is one of the most widely used quantitative phase imaging techniques. It is a non-invasive, label-free technique that allows high-resolution imaging. It enables the morphology of a living cell to be captured without chemical treatment, by using the refractive index (RI) as a contrast parameter to image internal structures. In this paper, we demonstrate that due to the fact that biological cells are highly heterogeneous structures, it is crucial to use full volumetric data to calculate the average RI values of biological samples and their organelles. To prove our point, we present tomographic reconstructions of 3 cell types: neuroblastoma SH-SY5Y, adenocarcinoma A549 and leukemia HL-60, from which we calculate the average RI value from the 3D volumetric data and compare it to the average RI values calculated from each 2D section.(c) 2023 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement

关键词： High numerical aperture optics Image reconstruction Imaging techniques Phase imaging reconstruction algorithms Refractive index

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Scanning-based compressive hyperspectral imaging via spectral-coded illumination

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OPTICS LETTERS 2023年第13期48卷 3387-3390页

作者： Liu, Rui Xiao, Ying Wang, Zhongyuan Ma, Jiayi Tian, Xin Wuhan Univ Elect Informat Sch Wuhan 430072 Peoples R China Wuhan Univ Sch Comp Sci Wuhan 430072 Peoples R China

In this Letter, we present a novel, to the best of our knowl-edge, scanning-based compressive hyperspectral imaging method via spectral-coded illumination. We achieve efficient and flexible spectral modulation by spectral coding of a dis-persive light source while spatial information is obtained by point-wise scanning, which can be applied to optical scan-ning imaging systems such as lidar. In addition, we propose a new tensor-based joint hyperspectral image reconstruction algorithm that considers spectral correlation and spatial self-similarity to recover three-dimensional hyperspectral data from compressive sampled data. Both simulated and real experiments show that our method has superior perfor-mance in visual quality and quantitative analysis. & COPY;2023 Optica Publishing Group

关键词： Analytical techniques Hyperspectral imaging Image processing Image reconstruction Imaging systems reconstruction algorithms

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FPGA-Based Short Horizon Integration Voltage reconstruction Method for Three-Level Neutral Point Clamped Inverter

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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2021年第11期68卷 10412-10421页

作者： Diao, Naizhe Sun, Xianrui Song, Chonghui Zhang, Haifeng Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Peoples R China

In this article, a real-time short horizon integration voltage reconstruction method based on field programmable gate array (FPGA-based) is proposed for the three-level neutral point clamped (NPC) inverter. It uses real driving signals obtained by FPGA's internal signals to rebuild the inverter's phase voltages. First, auxiliary driving signals are rebuilt according to the phase-current directions. They differ from real driving signals in that the effects of operations such as adding the dead time (DT) and eliminating narrow pulses (NP) is removed. Then, the output voltage within each synchronous clock pulse is reconstructed by the integration of the instant voltage, which is computed by the dc-bus voltage and auxiliary switching states determined by auxiliary driving signals. The equivalent voltage in each switching period can also be obtained by the integration of the instant voltage. Compared with other methods, it is universally suitable for various pulsewidth modulation (PWM) methods regardless of whether the NP is eliminated or the DT is added in these PWM methods. Meanwhile, it ensures that the reconstructed voltage is consistent with the actual output voltage at a low cost. Its effectiveness is verified by simulations and experiments.

关键词： Switches Pulse width modulation reconstruction algorithms Reliability theory Observers Inverters Real-time systems Driving signals short horizon integration three-level neutral point clamped (NPC) inverter voltage reconstruction

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Fast CBCT reconstruction using Convolutional Neural Networks for Arbitrary Robotic C-arm Orbits

Fast CBCT Reconstruction using Convolutional Neural Networks...

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Conference on Medical Imaging - Physics of Medical Imaging

作者： Russ, Tom Ma, Yiqun Q. Golla, Alena-Kathrin Bauer, Dominik F. Reynolds, Tess Toennes, Christian Hatamikia, Sepideh Schad, Lothar R. Zoellner, Frank G. Gang, Grace J. Wang, Wenying Stayman, J. Webster Heidelberg Univ Mannheim Inst Intelligent Syst Med Heidelberg Germany Johns Hopkins Univ Dept Biomed Engn Baltimore MD USA Univ Sydney ACRF Image X Inst Sydney NSW Australia Austrian Ctr Med Innovat & Technol Wiener Neustadt Austria Med Univ Vienna Ctr Med Phys & Biomed Engn Vienna Austria

ISBN: (数字)9781510649385

ISBN: (纸本)9781510649385;9781510649378

Cone-beam CT (CBCT) with non-circular acquisition orbits has the potential to improve image quality, increase the field-of view, and facilitate minimal interference within an interventional imaging setting. Because time is of the essence in interventional imaging scenarios, rapid reconstruction methods are advantageous. Model-Based Iterative reconstruction (MBIR) techniques implicitly handle arbitrary geometries;however, the computational burden for these approaches is particularly high. The aim of this work is to extend a previously proposed framework for fast reconstruction of non-circular CBCT trajectories. The pipeline combines a deconvolution operation on the backprojected measurements using an approximate, shift-invariant system response prior to processing with a Convolutional Neural Network (CNN). We trained and evaluated the CNN for this approach using 1800 randomized arbitrary orbits. Noisy projection data were formed from 1000 procedurally generated tetrahedral phantoms as well as anthropomorphic data in the form of 800 CT and CBCT images from the Lung Image Database Consortium Image Collection (LIDC). Using this proposed reconstruction pipeline, computation time was reduced by 90% as compared to MBIR with only minor differences in performance. Quantitative comparisons of nRMSE, FSIM and SSIM are reported. Performance was consistent for projection data simulated with acquisition orbits the network has not previously been trained on. These results suggest the potential for fast processing of arbitrary CBCT trajectory data with reconstruction times that are clinically relevant and applicable - facilitating the application of non-circular orbits in CT image-guided interventions and intraoperative imaging.

关键词： Deconvolution Computed tomography reconstruction algorithms Convolutional neural networks Data acquisition Robotics Imaging systems

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Deep Surface reconstruction from Point Clouds with Visibility Information 26

Deep Surface Reconstruction from Point Clouds with Visibilit...

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26th International Conference on Pattern Recognition / 8th International Workshop on Image Mining - Theory and Applications (IMTA)

作者： Sulzer, Raphael Landrieu, Loic Boulch, Alexandre Marlet, Renaud Vallet, Bruno Univ Gustave Eiffel LASTIG IGN ENSG F-94160 St Mande France Univ Gustave Eiffel Ecole Ponts LIGM CNRS Marne La Vallee France Valeo Ai Paris France

ISBN: (数字)9781665490627

ISBN: (纸本)9781665490627

Most current neural networks for reconstructing surfaces from point clouds ignore sensor poses and only operate on point locations. Sensor visibility, however, holds meaningful information regarding space occupancy and surface orientation. In this paper, we present two simple ways to augment point clouds with visibility information, so it can directly be leveraged by surface reconstruction networks with minimal adaptation. Our proposed modifications consistently improve the accuracy of generated surfaces as well as the generalization capability of the networks to unseen domains. Our code, data and pretrained models can be found online: haps://***/raphaelsulzer/dsrv-data.

关键词： Point cloud compression Surface reconstruction Adaptation models Codes Neural networks reconstruction algorithms Data models

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