• Title/Summary/Keyword: Retinal image

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Multi-Label Image Classification on Long-tailed Optical Coherence Tomography Dataset (긴꼬리 분포의 광간섭 단층촬영 데이터세트에 대한 다중 레이블 이미지 분류)

  • Bui, Phuoc-Nguyen;Jung, Kyunghee;Le, Duc-Tai;Choo, Hyunseung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.11a
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    • pp.541-543
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    • 2022
  • In recent years, retinal disorders have become a serious health concern. Retinal disorders develop slowly and without obvious signs. To avoid vision deterioration, early detection and treatment are critical. Optical coherence tomography (OCT) is a non-invasive and non-contact medical imaging technique used to acquire informative and high-resolution image of retinal area and underlying layers. Disease signs are difficult to detect because OCT images have many areas which are not related to any disease. In this paper, we present a deep learning-based method to perform multi-label classification on a long-tailed OCT dataset. Our method first extracts the region of interest and then performs the classification task. We achieve 98% accuracy, 92% sensitivity, and 99% specificity on our private OCT dataset. Using the heatmap generated from trained convolutional neural network, our method is more robust and explainable than previous approaches because it focuses on areas that contain disease signs.

A Study of Optical System Design for a Retinal Camera (망막 카메라용 광학계 설계)

  • Hong, Kyung-Hee
    • Korean Journal of Optics and Photonics
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    • v.17 no.2
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    • pp.113-119
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    • 2006
  • We need a good image of the retina of the human eye in order to inspect or cure it. In this work, an optical system design for a retinal camera is studied and the finite schematic eye model made by Sang Gee Kim and Sung Chan Park is used. The optical system is composed of four lens groups. The rays of the entire object field are collected on the center by the 1st group and the objective is imaged by all the other groups. The image is detected by the CCD array and displayed by a monitor The 1st lens group is employed singlet and other groups are employed triplets. Ray aberrations, spot diagrams, diffraction line spread functions and MTFs are calculated for optical performance assessment. This design may be very useful for the development of a retinal camera with high performance.

Kepler's Scientific Problem Finding and the Abductive Reasoning in his Discovery of the Retinal Image Formation (Kepler의 망막 상 이론 형성 과정에서의 과학적 문제 발견과 귀추적 사고)

  • Kim, Young-Min
    • Journal of The Korean Association For Science Education
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    • v.26 no.7
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    • pp.835-842
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    • 2006
  • The aims of this study are to investigate how Kepler found a scientific problem for the retinal image theory and how abductive reasoning was used in his theory development, and to find implications for teaching creativity in science class from his thinking processes in the scientific discovery. Through the analysis of the related literatures, it was found that Kepler's problem finding in his retinal image theory came from the critical analysis of contemporary theories of vision, based on his relevant knowledge of optics, as he formulated his own hypothesis to build a new theory in eye vision employing optical phenomenon in spherical lens, which is a kind of abductive reasoning. From the results, three suggestions are proposed, that: (a) in the development of creativity teaching material, the situations like Kepler's problem finding need to be included in the programs; (b) it should be taught that relevant scientific knowledge is important for problem finding and hypothesis formulating; and (c) the experience of successful problem solving by themselves could help them find new scientific problem(s).

Artificial Vision Project by Micro-Bio Technologies

  • Kim Sung June;Jung Hum;Yu Young Suk;Yu Hyeong Gon;Cho Dong il;Lee Byeong Ho;Ku Yong Sook;Kim Eun Mi;Seo Jong Mo;Kim Hyo kyum;Kim Eui tae;Paik Seung June;Yoon Il Young
    • 한국가시화정보학회:학술대회논문집
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    • 2002.04a
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    • pp.51-78
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    • 2002
  • A number of research groups worldwide are studying electronic implants that can be mounted on retinal optic nerve/visual cortex to restore vision of patients suffering from retinal degeneration. The implants consist of a neural interface made of biocompatible materials, one or more integrated circuits for stimuli generation, a camera, an image processor, and a telemetric channel. The realization of these classes of neural prosthetic devices is largely due to the explosive development of micro- and nano-electronics technologies in the late $20^{th}$ century and biotechnologies more recently. Animal experiments showed promise and some human experiments are in progress to indicate that recognition of images can be obtained and improved over time. We, at NBS-ERC of SNU, have started our own retinal implant project in 2000. We have selected polyimide as the biomaterial for an epi-retinal stimulator. In-vitro and in-vivo biocompatibility studies have been performed on the electrode arrays. We have obtained good affinity to retinal pigment epithelial cells and no harmful effect. The implant also showed very good stability and safety in rabbit eye for 12 weeks. We have also demonstrated that through proper stimulation of inner retina, meaning vision can be obtained.

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Computational Retinal Model by emphasizing region contrast (영역대비강조에 의한 계산론적 망막모델)

  • Je Sung-kwan;Kim Kwang-back;Cho Jae-hyun;Cha Eui-young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.9 no.7
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    • pp.1594-1600
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    • 2005
  • Recently many researches have been studied in the human vision model to solve the Wblem of the machine vision. Starting from research on the human visual system, first, we investigate the mechanisms of retina through physiological and biological evidence. In retina, input data was processed information processing that was data reduction edge detection, and emphasizing region. The processed image was recognized by region. In this paper, we proposed retinal algorithms that process data reduction and edge detection by the wavelet transform and emphasize region contrast. In experiments, the proposed model simulates processing the retina outputs in the levels and compares with outputs.

Prediction of visual performance using contrast sensitivity function and modulation transfer function (대비감도함수와 변조전달함수를 이용한 시기능 예측)

  • Kim Sang Gee;Park Sung Chan
    • Korean Journal of Optics and Photonics
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    • v.15 no.5
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    • pp.461-468
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    • 2004
  • A finite model eye of visual acuity 24/20 in emmertropia was presented. We determined the image intensity profile on retina using optical transfer function of model eye, and compared with clinical data. The retinal contrast sensitivity function based on the Stiles-Crawford effect, photopic response, diffraction, aberration, retinal contrast sensitivity, and pupil size is calculated. Visual acuity for human eye could be predicted by examining the modulation transfer function of a bar target and retinal contrast sensitivity function. This visual acuity was evaluated for pupil diameters ranging from 1 to 8 mm.

Fourier Domain Optical Coherence Tomography for Retinal Imaging with 800-nm Swept Source: Real-time Resampling in k-domain

  • Lee, Sang-Won;Song, Hyun-Woo;Kim, Bong-Kyu;Jung, Moon-Youn;Kim, Seung-Hwan;Cho, Jae-Du;Kim, Chang-Seok
    • Journal of the Optical Society of Korea
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    • v.15 no.3
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    • pp.293-299
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    • 2011
  • In this study, we demonstrated Fourier-domain/swept-source optical coherence tomography (FD/SS-OCT) at a center wavelength of 800 nm for in vivo human retinal imaging. A wavelength-swept source was constructed with a semiconductor optical amplifier, a fiber Fabry-Perot tunable filter, isolators, and a fiber coupler in a ring cavity. Our swept source produced a laser output with a tuning range of 42 nm (779 to 821 nm) and an average power of 3.9 mW. The wavelength-swept speed in this configuration with bidirectionality is 2,000 axial scans per second. In addition, we suggested a modified zero-crossing method to achieve equal sample spacing in the wavenumber (k) domain and to increase the image depth range. FD/SS-OCT has a sensitivity of ~89.7 dB and an axial resolution of 10.4 ${\mu}m$ in air. When a retinal image with 2,000 A-lines/frame is obtained, an acquisition speed of 2.0 fps is achieved.

Examination of the Effect of Reference on Shape Perception during Pursuit by Eye Movements Recording and Analysis (눈 운동 측정 및 분석을 이용한 추적 눈 운동 동안의 모양지각 왜곡에 대한 참조대상의 영향 검증)

  • Li Hyung-Chul;Cornelissen Frans;Brenner Eli
    • Korean Journal of Cognitive Science
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    • v.16 no.3
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    • pp.175-188
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    • 2005
  • Recently, Li, Brenner, Cornelissen and Kim (2002) reported that 2D shape perception during pursuit eye movement just reflected the retinal image, and this result implies that the visual system ignored the extra-retinal information. In reality, however, we usually do not experience the perceptual distottion of 2D shape during pursuit eye movement. One Possibility is that the visual system night exploit the fact that the relative location between objects on retinal image is constantly maintained even during pursuit eye movement. The present research examined this possibility. Interestingly, perceptual distortion of 2D shape was observed even in the presence of reference, however, the amount of distortion decreased compared to when the reference does not exist. The distance between the reference and the target affected the perceptual distortion. These results imply that reference information is used in 2D shape perception during pursuit eye movement but it cannot completely explain the stable and accurate representation of 2D shape perception during pursuit eye movement.

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Detection of Retinal Vessels of Fundus Photograph Using Hessian Algorithm (안저 영상에서 헤이지안 알고리즘을 이용한 혈관 검출)

  • Kang, Ho-Chul;Kim, Kwang-Gi;Oh, Whi-Vin;Hwang, Jeong-Min
    • Journal of Korea Multimedia Society
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    • v.12 no.8
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    • pp.1082-1088
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    • 2009
  • Fundus images are highly useful in evaluating patients' retinal conditions in diagnosing eye diseases. In particular, vessel regions are essential in diagnosing diabetes and hypertension. In this paper, we used top-hat filter to compensate for non-uniform background. Image contrast was enhanced by using contrast limited adaptive histogram equalization (CLAHE) method. Hessian matrix was next applied to detect vessel regions. Results indicate that our method is 1.3% more accurate than matched filter method. Our proposed method is expected to contribute to diagnosing eye diseases.

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Objective Assessment of Visual Quality and Ocular Scattering Based on Double-pass Retinal Images in Refractive-surgery Patients and Emmetropes

  • Kim, Jeong-mee
    • Current Optics and Photonics
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    • v.3 no.6
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    • pp.597-604
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    • 2019
  • This study was performed to evaluate objective visual quality and ocular scattering in myopic refractive-surgery patients, compared to emmetropes. Optical vision-quality parameters (modulation transfer function (MTF) cutoff and Strehl ratio) and objective scattering index (OSI) were measured using an optical quality analysis system (OQAS II) based on the double-pass technique. In all subjects, the higher the MTF cutoff and Strehl ratio, the lower the OSI and ocular higher-order aberrations (HOAs). The MTF cutoff and Strehl ratio for the laser-assisted subepithelial keratectomy (LASEK) group were lower than those for the emmetropia group, while the OSI, ocular HOAs, and spherical aberration (SA) for the LASEK group were higher than those for emmetropia group. Ocular scattering would be one of the important factors in regard to visual quality. Therefore, the quality of the retinal image in the LASEK patients has been shown to reduce the quality of vision more than in the emmetropes.