Article
Physics, Applied
Jun-Tian Ye, Chao Yu, Wenwen Li, Zheng-Ping Li, Hai Lu, Rong Zhang, Jun Zhang, Feihu Xu, Jian-Wei Pan
Summary: We demonstrate photon-counting single-pixel imaging in the ultraviolet region using a 4H-SiC single-photon avalanche diode (SPAD) as a high-performance compact single-photon detector. By developing a tailored readout circuit with active hold-off time, we restrain detector noise and operate the SPAD in the free-running mode. With structured illumination, we reconstruct compressed images at a 4 fps frame rate, demonstrating the capability of ultraviolet imaging applications.
APPLIED PHYSICS LETTERS
(2023)
Article
Optics
Rui Li, Jiaying Hong, Xi Zhou, Qin Li, Xiao Zhang
Summary: Single-pixel imaging based on FRFT offers advantages such as wide operation wavelength range, low radiation dose, and insensitivity to distortion. The method utilizes structured illumination and inverse FRET for object image reconstruction.
Article
Optics
Mengchao Ma, Qianzhen Sun, Xicheng Gao, Huaxia Deng, Guan Wang, Yilong Su, Qingtian Guan, Xiang Zhong
Summary: The study presents a multi-angle imaging method for optimizing single-pixel imaging (SPI) in scenes with specular reflections. By comparing the experimental results, it is found that the proposed method can improve the structural similarity and signal-to-noise ratio of images, as well as increase the correlation and power ratio with the reference image.
Article
Engineering, Electrical & Electronic
Shuming Jiao, Jun Feng, Liwen Zhang, Daixuan Wu, Yuecheng Shen
Summary: This paper investigates two types of single-pixel imaging systems for performing optical logic gate operations. The first scheme encodes the spatial light intensity distribution of the object image and illumination pattern based on input binary values, and the logic gate output result is indicated by the maximum single-pixel intensity. In the second scheme, the light amplitudes in corresponding sub-regions are directly proportional to the binary input values, and a universal linear approximation model allows the detected light intensity of a single-pixel holography system to represent the logic gate output result.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
(2023)
Article
Optics
Zixin Tang, Jianwei Zhang, Zhenyu Xu, Mao Ye, Yiguang Liu
Summary: This study introduces the Stockwell transform into the field of Single-Pixel Imaging (SPI). By optimizing the basis selection and designing an adaptive differential modulation technique, the imaging efficiency and resolution have been improved.
Article
Chemistry, Multidisciplinary
Jingxiao Yan, Qunshuo Wei, Yin Liu, Guangzhou Geng, Junjie Li, Xiaowei Li, Xin Li, Yongtian Wang, Lingling Huang
Summary: Compared to traditional holographic technology, metasurface holography offers larger field angle and higher spatial resolution. By precisely controlling phase, amplitude, and polarization, metasurface holography provides a flexible platform for light modulation and optical encryption. Furthermore, the process of image reconstruction through single pixel imaging resembles encoding and decoding, achieved by calculating the correlation between modulation patterns and intensity signals. This study proposes an optical encryption scheme based on spatial multiplexing metasurface, combining holographic technology and single pixel imaging. Different holographic reconstructed images can be generated by illuminating different positions of the metasurface, with 50% information overlap between adjacent sub-holograms. This work utilizes the spatial multiplexing property of metasurface to accomplish various functionalities, paving the way for applications in optical imaging encryption and information security.
Article
Engineering, Electrical & Electronic
Taichiro Fukui, Yusuke Kohno, Rui Tang, Yoshiaki Nakano, Takuo Tanemura
Summary: This study demonstrates the use of a chip-scale integrated optical phased array (OPA) for imaging through multimode fibers (MMFs), achieving fine 2D images of the target. The system successfully generated speckle patterns at the MMF output and derived a greater number of resolvable points compared to the number of phase shifters.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2021)
Article
Optics
Long Pan, Yuecheng Shen, Ji Qi, Junhui Shi, Xiaohua Feng
Summary: By combining single pixel imaging, ultrasensitive single photon detection, and metric-guided image reconstruction, single photon single pixel imaging can be a simple and powerful alternative to diffusion optical tomography for imaging into thick scattering medium without prior knowledge or inverting the diffusion equation.
Article
Multidisciplinary Sciences
Jiaze Yin, Meng Zhang, Yuying Tan, Zhongyue Guo, Hongjian He, Lu Lan, Ji-Xin Cheng
Summary: By optically sensing absorption-induced photothermal effect, a laser-scanning MIP microscope is able to achieve super-resolution IR imaging of biological systems in water at a much higher speed. Through synchronized galvo scanning and fast digitization, the imaging speed is increased by three orders of magnitude, allowing for the observation of dynamic changes in living organisms. Additionally, the use of hyperspectral imaging enables the chemical dissection of cellular structures and mapping of fat storage in various organisms.
Article
Engineering, Electrical & Electronic
Xianye Li, Yafei Sun, Yikang He, Xun Li, Baoqing Sun
Summary: A novel QPI scheme inspired by single-pixel camera (SPC) is proposed in this work, utilizing structured illumination and single-pixel signals for image reconstruction without prior information of the targets. The scheme exhibits great performance even with objects in an extremely rough phase distribution in both simulation and experiment.
Review
Chemistry, Analytical
Wenjing Zhao, Lei Gao, Aiping Zhai, Dong Wang
Summary: Single-pixel imaging (SPI) is a technique that uses a single-pixel detector to achieve two-dimensional or multi-dimensional imaging. Many measurement matrices and reconstruction algorithms have been proposed in the field of compressed sensing signal processing, and it is necessary to explore their application in SPI.
Article
Optics
Steven Johnson, Alex McMillan, Yril Torre, Stefan Frick, John Rarity, Miles Padgett
Summary: Traditional remote sensing applications based on pulsed laser illumination are not suitable for covert operation. We present a method that uses correlated photon-pairs to perform single-pixel imaging, suppressing background light effect and improving signal-to-noise ratio.
Article
Engineering, Electrical & Electronic
Wei Huang, Jiaxiang Li, Shuming Jiao, Zibang Zhang
Summary: This paper proposes an evolutionary single-pixel imaging (SPI) scheme for solving combinational optimization problems. SPI is a unique optical imaging technique that replaces the pixelated sensor array with a single-pixel detector. In this study, SPI is used to process types of data other than images, such as number partition and graph maximum cut. The Ising machine model is implemented optically with SPI, where the illumination patterns are updated through selection, crossover, and mutation based on the feedback of single-pixel values.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
(2023)
Article
Optics
Wenlin Gong
Summary: This paper compares the performance differences of computational ghost imaging (CGI) and single-pixel camera (SPC) in different light disturbance environments. It is found that SPC always produces better image quality than CGI under the same conditions. Local light disturbance has a larger impact on both CGI and SPC compared to global light disturbance. Additionally, a method to improve the reconstruction result of SPC is proposed and its effectiveness is verified through numerical simulation when the source's energy is unstable and there is light disturbance during the detection process.
OPTICS AND LASER TECHNOLOGY
(2022)
Article
Optics
Rafal Stojek, Anna Pastuszczak, Piotr Wrobel, Rafal Kotynski
Summary: Single pixel imaging (SPI) typically has low pixel resolution, but this paper proposes a method that allows high-resolution reconstruction of sparse images in a short time through sampling and reconstruction strategies.
Article
Engineering, Multidisciplinary
Santeri Kaupinmaki, Ben Cox, Simon Arridge, Christian Baker, David Sinden, Bajram Zeqiri
Summary: The article introduces a numerical model of a phase-insensitive pyroelectric ultrasound sensor, which consists of three components: acoustic, thermal, and electrical. The model simulates the propagation, absorption, and temperature change of ultrasound waves, and outputs the sensor response for comparison with empirical data.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Sebastian Lunz, Andreas Hauptmann, Tanja Tarvainen, Carola-Bibiane Schonlieb, Simon Arridge
Summary: This paper discusses the potential of learning a data-driven explicit model correction for inverse problems within a variational framework. It presents a solution of forward-adjoint correction that explicitly corrects in both data and solution spaces, and derives conditions under which solutions to the variational problem with a learned correction converge to solutions obtained with the correct operator. The proposed approach is evaluated on limited view photoacoustic tomography and compared to the established Bayesian approximation error method, showing potential applications in this field.
SIAM JOURNAL ON IMAGING SCIENCES
(2021)
Review
Multidisciplinary Sciences
Simon R. Arridge, Matthias J. Ehrhardt, Kris Thielemans
Summary: Imaging is ubiquitous in modern society, with devices based on various physical principles probing specimens across different wavelengths, energies, and times. Recent developments have seen the combination of imaging modalities previously used separately, leading to the emergence of mathematical ideas for synergistically combining data from different channels. This review discusses these developments, highlights important challenges, and offers insights into the future development of the field.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2021)
Article
Acoustics
Efthymios Maneas, Andreas Hauptmann, Erwin J. Alles, Wenfeng Xia, Tom Vercauteren, Sebastien Ourselin, Anna L. David, Simon Arridge, Adrien E. Desjardins
Summary: A framework based on a convolutional neural network (CNN) is proposed to maintain spatial resolution with fewer tracking transmissions and enhance signal quality. Experimental results show that the performance of needle localization can be significantly improved even with an eightfold reduction in tracking transmissions. This framework will greatly improve the performance of ultrasonic tracking, leading to faster image acquisition rates and increased localization accuracy.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2022)
Article
Mathematics, Applied
Felix Lucka, Mailyn Perez-Liva, Bradley E. Treeby, Ben T. Cox
Summary: This study focuses on the challenges faced by high resolution 3D ultrasound tomography (UST) scanners and proposes a comprehensive computational strategy to overcome them, including reducing memory footprint, utilizing source encoding for stochastic gradient estimates, and implementing a stochastic LBFGS method for optimization. Extensive numerical proof-of-concept studies demonstrate the effectiveness of these methods in achieving accurate UST images within a reasonable time frame.
Article
Radiology, Nuclear Medicine & Medical Imaging
Ludovica Brusaferri, Elise C. Emond, Alexandre Bousse, Robert Twyman, Alexander C. Whitehead, David Atkinson, Sebastien Ourselin, Brian F. Hutton, Simon Arridge, Kris Thielemans
Summary: This paper investigates the application of emission-based attenuation correction methods in PET/MR imaging. It addresses the issue of detection efficiency estimation for each energy window and the calibration factor estimation, and compares different reconstruction methods. The results show that there are significant differences in geometric factors between energy windows, and the multiple energy window reconstruction is sensitive to input/model mismatch.
IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES
(2022)
Article
Computer Science, Interdisciplinary Applications
Meghdoot Mozumder, Andreas Hauptmann, Ilkka Nissila, Simon R. Arridge, Tanja Tarvainen
Summary: Diffuse optical tomography (DOT) utilizes near-infrared light to image optical parameters, but faces ill-posedness. Bayesian approach and deep learning can improve image reconstruction. The proposed approach provides accurate and computationally efficient solutions.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2022)
Article
Acoustics
Arttu Arjas, Erwin J. Alles, Efthymios Maneas, Simon Arridge, Adrien Desjardins, Mikko J. Sillanpaa, Andreas Hauptmann
Summary: This study presents a technique that combines neural network training and Kalman filtering to achieve accurate and robust object localization and quantification in ultrasound imaging using synthetic training data and experimental data. Results show that the proposed method provides reliable and precise positional information in both simulated and experimental data, with the most accurate 3-D localization for elevational distances greater than approximately 1mm.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2022)
Article
Mathematics, Applied
Riccardo Barbano, Zeljko Kereta, Andreas Hauptmann, Simon R. Arridge, Bangti Jin
Summary: This research proposes a novel unsupervised knowledge-transfer paradigm for learned reconstruction in medical imaging within a Bayesian framework. The approach learns a reconstruction network in two phases and is capable of delivering predictive uncertainty information over the reconstructed image. Experimental results demonstrate the competitiveness of the approach in low-dose and sparse-view computed tomography, with significant improvements in reconstruction quality both visually and quantitatively.
Article
Computer Science, Interdisciplinary Applications
Robert Twyman, Simon Arridge, Zeljko Kereta, Bangti Jin, Ludovica Brusaferri, Sangtae Ahn, Charles W. Stearns, Brian F. Hutton, Irene A. Burger, Fotis Kotasidis, Kris Thielemans
Summary: Penalised PET image reconstruction algorithms can be improved by using a relaxed step size sequence and stochastic variance reduction gradient algorithms (SAGA and SVRG) for faster convergence. Numerical studies show that SAGA and SVRG outperform BSREM in terms of voxel value variations and step size selection. These algorithms can achieve faster convergence to the penalised maximum likelihood solution, especially in low count data.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2023)
Article
Acoustics
Srinath Rajagopal, Thomas Allen, Martin Berendt, Di Lin, Shaif-ul Alam, David J. J. Richardson, Ben T. T. Cox
Summary: This article demonstrates experimentally that a planar laser-generated ultrasound source with a hard reflective backing produces higher acoustic pressures compared to a source with an acoustically matched backing when the stress confinement condition is not met. Additionally, when the laser pulse is short enough to ensure stress confinement, the source with an acoustically matched backing has a broader bandwidth, while the bandwidths of both source types converge as the laser pulse duration increases beyond stress confinement. Numerical simulations support the explanation of the results.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
(2023)
Article
Acoustics
Antonio Stanziola, Simon Arridge, Ben T. Cox, Bradley E. Treeby
Summary: A new method called the learned Born series (LBS) is introduced for solving the wave equation, where the components of the LBS are determined through training. The LBS is found to be more accurate than the convergent Born series for the same number of iterations, especially in the presence of high contrast scatterers, while maintaining a similar computational complexity. It is capable of generating a reasonable prediction of the global pressure field with a small number of iterations, and the errors decrease with the number of learned iterations.
JASA EXPRESS LETTERS
(2023)
Article
Computer Science, Interdisciplinary Applications
Jiaqi Zhu, Nam Huynh, Olumide Ogunlade, Rehman Ansari, Felix Lucka, Ben Cox, Paul Beard
Summary: The use of finite aperture planar detection geometries in photoacoustic tomography leads to limited-view problem, affecting image quality. In order to address this issue, model-based iterative reconstruction methods were compared with one-step reconstruction methods, and the iterative methods were found to provide better image quality. For the total variation approaches, the impact of the regularization parameter on image features and amplitude was evaluated, and the compensating ability of Bregman iterations for amplitude bias introduced by total variation was studied.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2023)
Article
Acoustics
Morgan Roberts, Eleanor Martin, Michael D. Brown, Ben T. Cox, Bradley E. Treeby
Summary: In this study, an open-source 256-element transducer ring array was developed for ultrasound tomography (UST) imaging. The system showed similar acoustic performance to existing systems and was compatible with state-of-the-art image reconstruction methods. The results demonstrated the accessibility and suitability of the open-UST system for UST imaging research.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2023)
