Prof. Yeong Gil Shin Profile

Prof. Yeong Gil Shin

at Seoul National Univ

SPIE Involvement:

Author

Proceedings Article | 27 March 2019 Paper

Non-iterative method for metal artifact reduction by using a linearized beam-hardening correction model for polychromatic x-ray CT

Jin Hur, Dongjoon Kim, Sangchul Lee, Yeong-gil Shin

Proceedings Volume 11050, 1105008 (2019) https://doi.org/10.1117/12.2521375

KEYWORDS: Metals, X-rays, Signal attenuation, X-ray computed tomography, Image quality, Computed tomography, Medical imaging, Model-based design

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Proceedings Article | 15 March 2019 Paper

Robust harmonic field based tooth segmentation in real-life noisy scanned mesh

Jaedong Hwang, Sanghyeok Park, Seokjin Lee, Yeong-Gil Shin

Proceedings Volume 10949, 109492B (2019) https://doi.org/10.1117/12.2511749

KEYWORDS: Teeth, Image segmentation, Performance modeling, 3D modeling, Data modeling, Dentistry, Computer aided design

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Proceedings Article | 27 March 2009 Paper

Novel level-set based segmentation method of the lung at HRCT images of diffuse interstitial lung disease (DILD)

Jeongjin Lee, Joon Beom Seo, Namkug Kim, Sang Ok Park, Ho Lee, Yeong Gil Shin, Soo-Hong Kim

Proceedings Volume 7259, 725941 (2009) https://doi.org/10.1117/12.811327

KEYWORDS: Lung, Image segmentation, Colon, Algorithm development, 3D image processing, 3D modeling, Radio propagation, Machine learning, Shape analysis, Radiology

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Proceedings Article | 26 March 2007 Paper

An automatic method for fast and accurate liver segmentation in CT images using a shape detection level set method

Jeongjin Lee, Namkug Kim, Ho Lee, Joon Beom Seo, Hyung Jin Won, Yong Moon Shin, Yeong Gil Shin

Proceedings Volume 6512, 65122V (2007) https://doi.org/10.1117/12.710175

KEYWORDS: Liver, Image segmentation, Computed tomography, Image filtering, Anisotropic diffusion, Anisotropic filtering, Computer aided diagnosis and therapy, Transplantation, Magnetic resonance imaging, Radiology

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Proceedings Article | 22 March 2007 Paper

Interactive segmentation and visualization of large volume datasets using graphics hardware-based level set method

Seongjin Park, Helen Hong, Yeong Gil Shin

Proceedings Volume 6509, 65091T (2007) https://doi.org/10.1117/12.710553

KEYWORDS: Visualization, Lung, Volume visualization, Volume rendering, Chest, Partial differential equations, Wavefronts, Medical imaging, Neodymium, Autoregressive models

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Proceedings Article | 10 March 2006 Paper

Automatic lung nodule matching for the follow-up in temporal chest CT scans

Helen Hong, Jeongjin Lee, Yeong Gil Shin

Proceedings Volume 6144, 61442T (2006) https://doi.org/10.1117/12.653359

KEYWORDS: Lung, Computed tomography, Chest, Distance measurement, Image registration, Lung cancer, Image resolution, Error analysis, Computer science, Scanners

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Proceedings Article | 29 April 2005 Paper

Automatic segmentation and registration for the lung nodule matching in temporal chest CT scans

Helen Hong, Jeongjin Lee, Yeni Yim, Yeong-Gil Shin

Proceedings Volume 5747, (2005) https://doi.org/10.1117/12.594527

KEYWORDS: Lung, Computed tomography, Chest, Distance measurement, Image registration, Image segmentation, Optical inspection, Scanners, 3D image processing, Computer science

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Proceedings Article | 14 April 2005 Paper

The cerebral imaging using vessel-around method in the perfusion CT of the human brain

Choong-Il Ahn, Seung-Wook Choi, Seung-Chul Park, Yeong-Gil Shin, Jae-Hyoung Kim, Gi-Bong Chong

Proceedings Volume 5746, (2005) https://doi.org/10.1117/12.594460

KEYWORDS: Computed tomography, Brain, Neuroimaging, Tissues, Ischemia, Image processing, Brain mapping, Ischemic stroke, Image enhancement, Functional imaging

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Perfusion CT has been successfully used as a functional imaging technique for diagnosis of patients with hyperacute stroke. However, the commonly used methods based on curve-fitting are time consuming. Numerous researchers have investigated to what extent Perfusion CT can be used for the quantitative assessment of cerebral ischemia and to rapidly obtain comprehensive information regarding the extent of ischemic damage in acute stroke patients. The aim of this study is to propose an alternative approach to rapidly obtain the brain perfusion mapping and to show the proposed cerebral flow imaging of the vessel and tissue in human brain be reliable and useful. Our main design concern was algorithmic speed, robustness and automation in order to allow its potential use in the emergency situation of acute stroke. To obtain a more effective mapping, we analyzed the signal characteristics of Perfusion CT and defined the vessel-around model which includes the vessel and tissue. We proposed a nonparametric vessel-around approach which automatically discriminates the vessel and tissue around vessel from non-interested brain matter stratifying the level of maximum enhancement of pixel-based TAC. The stratification of pixel-based TAC was executed using the mean and standard deviation of the signal intensity of each pixel and mapped to the cerebral flow imaging. The defined vessel-around model was used to show the cerebral flow imaging and to specify the area of markedly reduced perfusion with loss of function of still viable neurons. Perfusion CT is a fast and practical technique for routine clinical application. It provides substantial and important additional information for the selection of the optimal treatment strategy for patients with hyperacute stroke. The vessel-around approach reduces the computation time significantly when compared with the perfusion imaging using the GVF. The proposed cerebral imaging shows reliable results which are validated by physicians and medical staff. Moreover the vessel-around approach was found to be comprehensive and easy-to-interpret by physicians and medical staff, hence we conclude that our proposed vessel-around technique can be used for brain perfusion mapping.

Proceedings Article | 12 April 2005 Paper

Cerebral vessel visualization by patient motion correction in three-dimensional CT angiography

Helen Hong, Ho Lee, Yeong-Gil Shin

Proceedings Volume 5744, (2005) https://doi.org/10.1117/12.593613

KEYWORDS: Angiography, Visualization, Bone, Computed tomography, Skull, Brain, Arteries, Image enhancement, Image quality, Image registration

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Proceedings Article | 12 April 2005 Paper

Interactive pre-integrated volume rendering of medical datasets

Heewon Kye, Helen Hong, Yeong-Gil Shin

Proceedings Volume 5744, (2005) https://doi.org/10.1117/12.594534

KEYWORDS: Volume rendering, Opacity, Image segmentation, Image quality, Visualization, Image classification, Binary data, Medical imaging, Computer science, Computer engineering

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Proceedings Article | 12 April 2005 Paper

Hardware-accelerated multimodality volume fusion

Helen Hong, Juhee Bae, Heewon Kye, Yeong-Gil Shin

Proceedings Volume 5744, (2005) https://doi.org/10.1117/12.594578

KEYWORDS: Image fusion, Opacity, Positron emission tomography, Magnetic resonance imaging, Visualization, Volume rendering, Surgery, Brain, Neuroimaging, Angiography

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Proceedings Article | 12 May 2004 Paper

Motion correction for CT angiography quality enhancement

Helen Hong, Ho Lee, Yeong-Gil Shin

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.535673

KEYWORDS: Brain, Angiography, Brain mapping, Image registration, Visualization, Edge detection, 3D image processing, Feature extraction, Bone, Arteries

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Proceedings Article | 5 May 2004 Paper

Integrated registration and visualization of MR and PET brain images

Helen Hong, Heewon Kye, Yeong-Gil Shin

Proceedings Volume 5367, (2004) https://doi.org/10.1117/12.535143

KEYWORDS: Image registration, Positron emission tomography, Volume rendering, Image fusion, Visualization, Brain, Magnetic resonance imaging, Neuroimaging, Stochastic processes, Image quality

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Proceedings Article | 30 May 2003 Paper

Intensity-based registration and combined visualization of multimodal brain images for noninvasive epilepsy surgery planning

Helen Hong, Yeong Shin

Proceedings Volume 5029, (2003) https://doi.org/10.1117/12.479857

KEYWORDS: Brain, Visualization, Image registration, Neuroimaging, Positron emission tomography, Magnetic resonance imaging, Computed tomography, Epilepsy, Surgery, Electrodes

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Proceedings Article | 26 May 1999 Paper

Efficient multidimensional volume rendering

Jae-Jeong Choi, Yeong Shin

Proceedings Volume 3658, (1999) https://doi.org/10.1117/12.349428

KEYWORDS: Volume rendering, Visualization, Opacity, Surgery, Silicon, Head, Computer programming, Brain, Transparency, Databases

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Showing 5 of 15 publications

Conference Committee Involvement (2)

Visualization, Image-guided Procedures and Modeling

8 February 2009 | Lake Buena Vista (Orlando Area), Florida, United States

Visualization, Image-Guided Procedures, and Modeling

17 February 2008 | San Diego, California, United States

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