• Title/Summary/Keyword: Imaging Systems

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Optical System Design and Image Processing for Hyperspectral Imaging Systems (초분광 분해기의 광학계 설계 및 영상 처리)

  • Heo, A-Young;Choi, Seung-Won;Lee, Jae-Hoon;Kim, Tae-Hyeong;Park, Dong-Jo
    • Journal of the Korea Institute of Military Science and Technology
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    • v.13 no.2
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    • pp.328-335
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    • 2010
  • A hyperspectral imaging spectrometer has shown significant advantages in performance over other existing ones for remote sensing applications. It can collect hundreds of narrow, adjacent spectral bands for each image, which provides a wealth of information on unique spectral characteristics of objects. We have developed a compact hyperspectral imaging system that successively shows high spatial and spectral resolutions and fast data processing performance. In this paper, we present an overview of the hyperspectral imaging system including the strucure of geometrical optics and several image processing schemes such as wavelength calibration and noise reduction for image data on Visible and Near-Infrared(VNIR) and Shortwave-Infrared(SWIR) band.

Development of High Resolution Micro-CT System for In Vivo Small Animal Imaging (소형 동물의 생체 촬영을 위한 고해상도 Micro-CT 시스템의 개발)

  • Park, Jeong-Jin;Lee, Soo-Yeol;Cho, Min-Hyoung
    • Journal of Biomedical Engineering Research
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    • v.28 no.1
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    • pp.95-101
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    • 2007
  • Recently, small-animal imaging technology has been rapidly developed for longitudinal screening of laboratory animals such as mice and rats. One of newly developed imaging modalities for small animals is an x-ray micro-CT (computed tomography). We have developed two types of x-ray micro-CT systems for small animal imaging. Both systems use flat-panel x-ray detectors and micro-focus x-ray sources to obtain high spatial resolution of $10{\mu}m$. In spite of the relatively large field-of-view (FOV) of flat-panel detectors, the spatial resolution in the whole-body imaging of rats should be sacrificed down to the order of $100{\mu}m$ due to the limited number of x-ray detector pixels. Though the spatial resolution of cone-beam CTs can be improved by moving an object toward an x-ray source, the FOV should be reduced and the object size is also limited. To overcome the limitation of the object size and resolution, we introduce zoom-in micro-tomography for high-resolution imaging of a local region-of-interest (ROI) inside a large object. For zoom-in imaging, we use two kinds of projection data in combination, one from a full FOV scan of the whole object and the other from a limited FOV scan of the ROI. Both of our micro-CT systems have zoom-in micro-tomography capability. One of both is a micro-CT system with a fixed gantry mounted with an x-ray source and a detector. An imaged object is laid on a rotating table between a source and a detector. The other micro-CT system has a rotating gantry with a fixed object table, which makes whole scans without rotating an object. In this paper, we report the results of in vivo small animal study using the developed micro-CTs.

Characteristics of Viewing Zone in Multiview 3 Dimensional Imaging Systems

  • Son, Jung-Young;Saveljev, Vladmir V.
    • 한국정보디스플레이학회:학술대회논문집
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    • 2003.07a
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    • pp.427-432
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    • 2003
  • In contact-type multiview 3 dimensional imaging systems, the optimum design parameters are not easily found because of difficulty in determining the size of viewing zone. Two factors related with the viewing zone, such as different view image patching and the widths of the viewing regions are discussed to explain the difficulty.

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Development of Multi-Purpose Variable Polarization Imaging System for Clinical Diagnosis (임상 진단용 다목적 가변 편광 영상장치 개발)

  • Bae, Young-Woo;Jung, Byung-Jo
    • Journal of Biomedical Engineering Research
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    • v.28 no.2
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    • pp.265-270
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    • 2007
  • Polarization imaging systems have been widely used to selectively characterize skin lesions. Nevertheless, current systems are used in single-mode due to the limitations of a fixed polarization mode and a single-working distance of light source, in which uniform light distribution is achieved on target area. To address such limitations, we developed a variable polarization imaging system based on multi-working distance of light source for various clinical diagnoses. In this study, we characterize the imaging system and present experiment results demonstrating its clinical usefulness. The imaging system consists of a CCD color camera, linear polarization filters, and a single-layered LED ring light source which provides uniform light distribution at multi-working distances. The first polarizer was placed on the light source and the second polarizer placed on objective lens provides continuous linear polarization angle from $0^{\circ}\;to\;90^{\circ}$. The clinical efficacy of the imaging system was investigated by acquiring and analyzing clinical images of skin wrinkle and dental plaque. With the experiments, we verified the potential usefulness of the imaging system for other clinical applications.

NIR Fluorescence Imaging Systems with Optical Packaging Technology

  • Yang, Andrew Wootae;Cho, Sang Uk;Jeong, Myung Yung;Choi, Hak Soo
    • Journal of the Microelectronics and Packaging Society
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    • v.21 no.4
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    • pp.25-31
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    • 2014
  • Bioimaging has advanced the field of nanomedicine, drug delivery, and tissue engineering by directly visualizing the dynamic mechanism of diagnostic agents or therapeutic drugs in the body. In particular, wide-field, planar, near-infrared (NIR) fluorescence imaging has the potential to revolutionize human surgery by providing real-time image guidance to surgeons for target tissues to be resected and vital tissues to be preserved. In this review, we introduce the principles of NIR fluorescence imaging and analyze currently available NIR fluorescence imaging systems with special focus on optical source and packaging. We also introduce the evolution of the FLARE intraoperative imaging technology as an example for image-guided surgery.

Medical Imaging and Nuclear Molecular Imaging Probes for Pulmonary Fibrosis Diagnosis

  • Heesu Ahn;Yong Jin Lee
    • Journal of Radiopharmaceuticals and Molecular Probes
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    • v.8 no.2
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    • pp.103-111
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    • 2022
  • Idiopathic pulmonary fibrosis (IPF) is a progressive disease caused by some risk factors, including smoking, viral infection, toxic substances, and radiation, that decline lung function of fresh oxygen and blood delivery throughout the body. Patients with pulmonary fibrosis have suffered from breathing and cough and the average survival rate is only 3 years after diagnosis. Therefore, it is significant to diagnose IPF and start treatment in enough time. Usually, lung biopsy is available to diagnose localized pulmonary fibrotic sites directly. However, it is insufficient to visualize whole lung tissue, and also it has a risk of infection for patients. In the clinic, medical imaging systems can diagnose pulmonary fibrosis non-invasively without infection. In this review, we introduce current medical imaging systems used to diagnose pulmonary fibrosis, including CT, MRI, and nuclear medicine. Further, we introduce several molecular imaging probes targeting specific biomarkers which are expressed in pulmonary fibrosis. Through this paper, it is expected that it would be helpful to understand the latest knowledge and research trends on pulmonary fibrosis diagnostic imaging.

Review of medical imaging systems, medical imaging data problems, and XAI in the medical imaging field

  • Sun-Kuk Noh
    • Journal of Internet Computing and Services
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    • v.25 no.5
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    • pp.53-65
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    • 2024
  • Currently, artificial intelligence (AI) is being applied in the medical field to collect and analyze data such as personal genetic information, medical information, and lifestyle information. In particular, in the medical imaging field, AI is being applied to the medical imaging field to analyze patients' medical image data and diagnose diseases. Deep learning (DL) of deep neural networks such as CNN and GAN have been introduced to medical image analysis and medical data augmentation to facilitate lesion detection, quantification, and classification. In this paper, we examine AI used in the medical imaging field and review related medical image data acquisition devices, medical information systems for transmitting medical image data, problems with medical image data, and the current status of explainable artificial intelligence (XAI) that has been actively applied recently. In the future, the continuous development of AI and information and communication technology (ICT) is expected to make it easier to analyze medical image data in the medical field, enabling disease diagnosis, prognosis prediction, and improvement of patients' quality of life. In the future, AI medicine is expected to evolve from the existing treatment-centered medical system to personalized healthcare through preemptive diagnosis and prevention.

Internal Quality Evaluation and Age Identification of Fresh Korean Ginseng using Magnetic Resonance Imaging (자기공명영상을 이용한 수삼의 내부 품질평가 및 연근판정)

  • 임종국;김철수;이승조;김성민
    • Journal of Biosystems Engineering
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    • v.28 no.2
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    • pp.157-166
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    • 2003
  • The purpose of this study is to characterize the internal physical properties of fresh Korean ginsengs (Panax ginseng C.A. Meyer) through a magnetic resonance imaging (MRI) technique. Current external visual inspection cannot determine internal quality of ginsengs successfully. Relaxation time constants, T$_1$ and T$_2$*, were obtained from a series of MR images. Calculated Ti values were varied with different physiological states of ginseng tissues. Internal imaging information was obtained nondestructively from fresh ginsengs. One- and two-dimensional image analyses were performed. One-dimensional image analysis showed a potential of age identification of ginsengs rapidly. Internal quality of normal and abnormal ginsengs was evaluated using two-dimensional MR images. Various types of internal defects such as internal cavity and rotten spot were visualized clearly. The MRI technique had a feasibility to detect internal defects of fresh ginsengs effectively.

Simulation and Performance Assessment of a Geiger-mode Imaging LADAR System (가이거모드 영상 LADAR 시스템의 시뮬레이션과 성능예측)

  • Kim, Seongjoon;Lee, Impyeong;Lee, Youngcheol
    • Journal of the Korea Institute of Military Science and Technology
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    • v.15 no.5
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    • pp.687-698
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    • 2012
  • LADAR systems can rapidly acquire 3D point clouds by sampling the target surfaces using laser pulses. Such point clouds are widely used for diverse applications such as DSM/DTM generation, forest biomass estimation, target detection, wire avoidance and so on. Many kinds of LADAR systems have been developed with their respective purposes and applications. Particularly, Geiger mode imaging LADAR systems are increasingly utilized since they are energy efficient thank to extremely sensitive detectors incorporated into the systems. The purpose of this research is the performance assessment of a Geiger mode imaging LADAR system based on simulation with the real system parameters. We thus developed a simulation method of such a LADAR system by modeling its geometric, radiometric, optic and electronic aspects. Based on the simulation, we performed the performance assessment of a newly designed system to derive the outlier ratio and false alarm rate expected during its operation in almost real environment with reasonable system parameters. The proposed simulation and performance assessment method will be effectively utilized for system design and optimization, and test data generation.