• Title/Summary/Keyword: imaging technology

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Study of the Key Technology of Ghost Imaging Based on Rosette Scanning

  • Zhang, Leihong;Kang, Yi;Pan, Zilan;Liang, Dong;Li, Bei;Zhang, Dawei;Ma, Xiuhua
    • Current Optics and Photonics
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    • v.1 no.5
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    • pp.491-499
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    • 2017
  • Ghost imaging offers great potential, with respect to standard imaging, for imaging objects in optically harsh or noisy environments. It can solve the problems that are difficult to solve by conventional imaging techniques. Recently, it has become a hot topic in quantum optics. In this paper, we propose a scheme for ghost imaging based on rosette scanning, named rosette ghost imaging. Sampling a small area sampling instead of the whole object, the instantaneous field of view of rosette scanning is used as the modulation light field in ghost imaging. This scheme reduces energy loss, the number of samples, and the sampling time, while improving the quality of the reconstructed image.

Full Color Large Area Flexible Plasma Displays

  • Wedding, Carol;Strbik, Oliver;Peters, Edwin
    • 한국정보디스플레이학회:학술대회논문집
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    • 2008.10a
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    • pp.1237-1239
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    • 2008
  • Imaging Systems Technology is conducting research and development in large area flexible plasma displays. These displays will be used for low cost dynamic signage and billboards. In this paper, IST will report its current progress in achieving very bright full color displays.

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Advances in Fast Vessel-Wall Magnetic Resonance Imaging Using High-Density Coil Arrays

  • Yin, Xuetong;Li, Nan;Jia, Sen;Zhang, Xiaoliang;Li, Ye
    • Investigative Magnetic Resonance Imaging
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    • v.25 no.4
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    • pp.229-251
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    • 2021
  • Arteriosclerosis is the leading cause of stroke, with a fatality rate surpassing that of ischemic heart disease. High-resolution vessel wall magnetic resonance imaging is generally recognized as a non-invasive and panoramic method for the evaluation of arterial plaque; however, this method requires improved signal-to-noise ratio and scanning speed. Recent advances in high-density head and neck coil arrays are characterized by broad coverage, multiple channels, and closefitting designs. This review analyzes fast magnetic resonance imaging from the perspective of accelerated algorithms for vessel wall imaging and demonstrates the need for effective algorithms for signal acquisition using advanced radiofrequency system. We summarize different phased-array structures under various experimental objectives and equipment conditions, introduce current research results, and propose prospective research studies in the future.

Performance Analysis of Spiral Axicon Wavefront Coding Imaging System for Laser Protection

  • Haoqi Luo;Yangliang Li;Junyu Zhang;Hao Zhang;Yunlong Wu;Qing Ye
    • Current Optics and Photonics
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    • v.8 no.4
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    • pp.355-365
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    • 2024
  • Wavefront coding (WFC) imaging systems can redistribute the energy of an interference laser spot on an image plane sensor by wavefront phase modulation and reduce the peak intensity, realizing laser protection while maintaining imaging functionality by leveraging algorithmic post-processing. In this paper, a spiral axicon WFC imaging system is proposed, and the performance for laser protection is investigated by constructing a laser transmission model. An Airy disk on an image plane sensor is refactored into a symmetrical hollow ring by a spiral axicon phase mask, and the maximum intensity can be reduced to lower than 1% and single-pixel power to 1.2%. The spiral axicon phase mask exhibits strong robustness to the position of the interference laser source and can effectively reduce the risk of sensor damage for an almost arbitrary lase propagation distance. Moreover, we revealed that there is a sensor hazard distance for both conventional and WFC imaging systems where the maximum single-pixel power reaches a peak value under irradiation of a power-fixed laser source. Our findings can offer guidance for the anti-laser reinforcement design of photoelectric imaging systems, thereby enhancing the adaptability of imaging systems in a complex laser environment. The laser blinding-resistant imaging system has potential applications in security monitoring, autonomous driving, and intense-laser-pulse experiments.

Characteristics of the Contact Angle Using the Microwave Plasma Treatment on Scintillator Panel Substrates (마이크로웨이브 플라즈마 처리를 통한 섬광체 패널 기판의 접촉가 특성변화)

  • Kim, Byoungwook;Kim, Youngju;Ryu, Cheolwoo;Choi, Byoungjung;Kwon, Youngman;Lee, Youngchoon;Kim, Myungsoo;Cho, Gyuseong
    • Journal of Radiation Industry
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    • v.8 no.1
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    • pp.43-47
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    • 2014
  • By measuring decrease change of the contact angle after microwave plasma treatment on the glass and Al as a scintillator panel sample substrate, the adhesive performance of scintillator panel can be expected to improve. Also resolution and sensitivity of scintillator panel after microwave plasma treatment can be expected to maintain highly.

U2Net-based Single-pixel Imaging Salient Object Detection

  • Zhang, Leihong;Shen, Zimin;Lin, Weihong;Zhang, Dawei
    • Current Optics and Photonics
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    • v.6 no.5
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    • pp.463-472
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    • 2022
  • At certain wavelengths, single-pixel imaging is considered to be a solution that can achieve high quality imaging and also reduce costs. However, achieving imaging of complex scenes is an overhead-intensive process for single-pixel imaging systems, so low efficiency and high consumption are the biggest obstacles to their practical application. Improving efficiency to reduce overhead is the solution to this problem. Salient object detection is usually used as a pre-processing step in computer vision tasks, mimicking human functions in complex natural scenes, to reduce overhead and improve efficiency by focusing on regions with a large amount of information. Therefore, in this paper, we explore the implementation of salient object detection based on single-pixel imaging after a single pixel, and propose a scheme to reconstruct images based on Fourier bases and use U2Net models for salient object detection.

Robotized Percutaneous Biopsy (로봇을 이용한 경피 생체 검사)

  • Son, Jaebum;Kim, Kwang Gi
    • Journal of Biomedical Engineering Research
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    • v.33 no.3
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    • pp.105-113
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    • 2012
  • Biopsy is a type of histopathological examinations, in which a physician samples cells or tissues from a patient's suspicious lesion. Such a lesion frequently resides deep inside human body, and then a percutaneous biopsy is therefore performed using a thick needle with the assistance of medical imaging such as computed tomography(CT) and magnetic resonance imaging(MRI). Recently modern robotic technology is being introduced to percutaneous biopsy in order to reduce any possible human error and hazard on physicians caused by medical imaging. After medical imaging locates the exact location of lesion, an optimization algorithm plans the path for a biopsy needle. Subsequently, a robot system moves the biopsy needle to the lesion in accurate and safe way with the control of a practitioner or automatically. In this article, we try to look into the state-of-art of percutaneous biopsy using such robotic technology. We classified percutaneous biopsy robots by mechanical characteristics and by imaging technology. Then, advantage and disadvantage of each class type are described as well as the basic description, and a few representative designs for each type are introduced. Current research issues of robotized percutaneous biopsy are subjectively selected for the readers' convenience. We emphasize the basic technology of actuator and sensors compatible with imaging technology to conclude this review.

Restoration of Ghost Imaging in Atmospheric Turbulence Based on Deep Learning

  • Chenzhe Jiang;Banglian Xu;Leihong Zhang;Dawei Zhang
    • Current Optics and Photonics
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    • v.7 no.6
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    • pp.655-664
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    • 2023
  • Ghost imaging (GI) technology is developing rapidly, but there are inevitably some limitations such as the influence of atmospheric turbulence. In this paper, we study a ghost imaging system in atmospheric turbulence and use a gamma-gamma (GG) model to simulate the medium to strong range of turbulence distribution. With a compressed sensing (CS) algorithm and generative adversarial network (GAN), the image can be restored well. We analyze the performance of correlation imaging, the influence of atmospheric turbulence and the restoration algorithm's effects. The restored image's peak signal-to-noise ratio (PSNR) and structural similarity index map (SSIM) increased to 21.9 dB and 0.67 dB, respectively. This proves that deep learning (DL) methods can restore a distorted image well, and it has specific significance for computational imaging in noisy and fuzzy environments.

INDUSTRIAL MATHEMATICS IN ULTRASOUND IMAGING

  • JANG, JAESEONG;AHN, CHI YOUNG
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.20 no.3
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    • pp.175-202
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    • 2016
  • Ultrasound imaging is a widely used tool for visualizing human body's internal organs and quantifying clinical parameters. Due to its advantages such as safety, non-invasiveness, portability, low cost and real-time 2D/3D imaging, diagnostic ultrasound industry has steadily grown. Since the technology advancements such as digital beam-forming, Doppler ultrasound, real-time 3D imaging and automated diagnosis techniques, there are still a lot of demands for image quality improvement, faster and accurate imaging, 3D color Doppler imaging and advanced functional imaging modes. In order to satisfy those demands, mathematics should be used properly and effectively in ultrasound imaging. Mathematics has been used commonly as mathematical modelling, numerical solutions and visualization, combined with science and engineering. In this article, we describe a brief history of ultrasound imaging, its basic principle, its applications in obstetrics/gynecology, cardiology and radiology, domestic-industrial products, contributions of mathematics and challenging issues in ultrasound imaging.

Research on Equal-resolution Image Hiding Encryption Based on Image Steganography and Computational Ghost Imaging

  • Leihong Zhang;Yiqiang Zhang;Runchu Xu;Yangjun Li;Dawei Zhang
    • Current Optics and Photonics
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    • v.8 no.3
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    • pp.270-281
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    • 2024
  • Information-hiding technology is introduced into an optical ghost imaging encryption scheme, which can greatly improve the security of the encryption scheme. However, in the current mainstream research on camouflage ghost imaging encryption, information hiding techniques such as digital watermarking can only hide 1/4 resolution information of a cover image, and most secret images are simple binary images. In this paper, we propose an equal-resolution image-hiding encryption scheme based on deep learning and computational ghost imaging. With the equal-resolution image steganography network based on deep learning (ERIS-Net), we can realize the hiding and extraction of equal-resolution natural images and increase the amount of encrypted information from 25% to 100% when transmitting the same size of secret data. To the best of our knowledge, this paper combines image steganography based on deep learning with optical ghost imaging encryption method for the first time. With deep learning experiments and simulation, the feasibility, security, robustness, and high encryption capacity of this scheme are verified, and a new idea for optical ghost imaging encryption is proposed.