Dr. Soohyun Lee Profile

Dr. Soohyun Lee

at Ohio State Univ

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Author

Publications (11)

Proceedings Article | 13 March 2024 Presentation

Retinal blood flow velocity measurement by a high-speed adaptive optics multi-detection mode ophthalmoscope using a digital micromirror device (DMD)

Soohyun Lee, Stacey Choi, Ratheesh Meleppat, Robert Zawadzki, Nathan Doble

Proceedings Volume PC12824, PC1282401 (2024) https://doi.org/10.1117/12.3003388

KEYWORDS: Adaptive optics, Velocity measurements, Digital micromirror devices, Blood circulation, Retina, Light sources and illumination, Image segmentation, Retinal scanning, Radon transform, Radon

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Proceedings Article | 15 March 2023 Presentation + Paper

High-speed adaptive optics partially confocal ophthalmoscope based on Digital Micromirror Device (DMD)

Soohyun Lee, Stacey Choi, Ratheesh Meleppat, Robert Zawadzki, Nathan Doble

Proceedings Volume 12360, 1236008 (2023) https://doi.org/10.1117/12.2650802

KEYWORDS: Digital micromirror devices, Adaptive optics, Retina, Confocal laser scanning microscopy, Retinal scanning

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SPIE Journal Paper | 30 June 2021 Open Access

CNN-based CP-OCT sensor integrated with a subretinal injector for retinal boundary tracking and injection guidance

Soohyun Lee, Jin Kang

JBO, Vol. 26, Issue 06, 068001, (June 2021) https://doi.org/10.1117/12.10.1117/1.JBO.26.6.068001

KEYWORDS: Optical coherence tomography, Image segmentation, Sensors, Retina, Filtering (signal processing), Visualization, Velocity measurements, Signal processing, Automatic tracking, Tissues

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Significance: Subretinal injection is an effective way of delivering transplant genes and cells to treat many degenerative retinal diseases. However, the technique requires high-dexterity and microscale precision of experienced surgeons, who have to overcome the physiological hand tremor and limited visualization of the subretinal space. Aim: To automatically guide the axial motion of microsurgical tools (i.e., a subretinal injector) with microscale precision in real time using a fiber-optic common-path swept-source optical coherence tomography distal sensor. Approach: We propose, implement, and study real-time retinal boundary tracking of A-scan optical coherence tomography (OCT) images using a convolutional neural network (CNN) for automatic depth targeting of a selected retinal boundary for accurate subretinal injection guidance. A simplified 1D U-net is used for the retinal layer segmentation on A-scan OCT images. A Kalman filter, combining retinal boundary position measurement by CNN and velocity measurement by cross correlation between consecutive A-scan images, is applied to optimally estimate the retinal boundary position. Unwanted axial motions of the surgical tools are compensated by a piezoelectric linear motor based on the retinal boundary tracking. Results: CNN-based segmentation on A-scan OCT images achieves the mean unsigned error (MUE) of ∼3 pixels (8.1 μm) using an ex vivo bovine retina model. GPU parallel computing allows real-time inference (∼2 ms) and thus real-time retinal boundary tracking. Involuntary tremors, which include low-frequency draft in hundreds of micrometers and physiological tremors in tens of micrometers, are compensated effectively. The standard deviations of photoreceptor (PR) and choroid (CH) boundary positions get as low as 10.8 μm when the depth targeting is activated. Conclusions: A CNN-based common-path OCT distal sensor successfully tracks retinal boundaries, especially the PR/CH boundary for subretinal injection, and automatically guides the tooltip’s axial position in real time. The microscale depth targeting accuracy of our system shows its promising possibility for clinical application.

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Proceedings Article | 9 March 2020 Presentation

Convolutional neural network (CNN) based needle-tracking for OCT-guided cornea “Big Bubble” procedure (Conference Presentation)

Ruizhi Zuo, Jin Kang, Soohyun Lee, Shoujing Guo, Shuwen Wei

Proceedings Volume 11243, 112431L (2020) https://doi.org/10.1117/12.2546547

KEYWORDS: Cornea, Convolutional neural networks, Surgery, Optical coherence tomography, Image segmentation, Image processing, Image filtering, Spatial filters, Hough transforms

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SPIE Journal Paper | 14 February 2020 Open Access

Selective retina therapy monitoring by speckle variance optical coherence tomography for dosimetry control

Soohyun Lee, Shuwen Wei, Shoujing Guo, Jongmin Kim, Bongkyun Kim, Gihoon Kim, Jin Kang

JBO, Vol. 25, Issue 02, 026001, (February 2020) https://doi.org/10.1117/12.10.1117/1.JBO.25.2.026001

KEYWORDS: Retina, Optical coherence tomography, Pulsed laser operation, Laser energy, Speckle, Laser irradiation, Imaging systems, Optical simulations, Thermal effects, Eye

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Proceedings Article | 4 March 2019 Presentation

Optical coherence tomography distal-sensor integrated big bubble hydro-dissection needle for DALK (Conference Presentation)

Shoujing Guo, Nicolas Sarfaraz, Soohyun Lee, William Gensheimer, Axel Krieger, Jin Kang

Proceedings Volume 10872, 1087204 (2019) https://doi.org/10.1117/12.2507226

KEYWORDS: Optical coherence tomography, Cornea, Sensors, Tissues, Epoxies, Single mode fibers, Signal to noise ratio, Eye, Fiber optics sensors

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SPIE Journal Paper | 28 February 2019 Open Access

Common-path all-fiber optical coherence tomography probe based on high-index elliptical epoxy-lensed fiber

Soohyun Lee, Changho Lee, Ruben Verkade, Gyeong Woo Cheon, Jin Kang

OE, Vol. 58, Issue 02, 026116, (February 2019) https://doi.org/10.1117/12.10.1117/1.OE.58.2.026116

KEYWORDS: Optical coherence tomography, Signal to noise ratio, Epoxies, Water, Sensors, Endoscopy, Coherence imaging, Tissues, Spherical lenses, Lens design

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Proceedings Article | 14 March 2018 Presentation

Temperature monitoring of retinal tissues during laser radiation by speckle variance optical coherence tomography (Conference Presentation)

Soohyun Lee, Changho Lee, Gyeongwoo Cheon, Jin Kang

Proceedings Volume 10488, 104880N (2018) https://doi.org/10.1117/12.2292510

KEYWORDS: Tissues, Optical coherence tomography, Speckle, Laser coagulation, Laser therapeutics, Temperature metrology, Fiber optics sensors, Imaging systems, Retina, Veins

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Proceedings Article | 14 February 2018 Paper

Ophthalmic laser system integrated with speckle variance optical coherence tomography for real-time temperature monitoring

Soohyun Lee, Changho Lee, Gyeongwoo Cheon, Jongmin Kim, Dongki Jo, Jihoon Lee, Jin Kang

Proceedings Volume 10483, 104832C (2018) https://doi.org/10.1117/12.2291183

KEYWORDS: Optical coherence tomography, Pulsed laser operation, Laser systems engineering, Speckle, Imaging systems

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Proceedings Article | 12 February 2018 Presentation + Paper

Motion-compensated optical coherence tomography using envelope-based surface detection and Kalman-based prediction

Kristina Irsch, Soohyun Lee, Sanjukta Bose, Jin Kang

Proceedings Volume 10484, 104840Q (2018) https://doi.org/10.1117/12.2288545

KEYWORDS: Optical coherence tomography, Tissues, Imaging systems, Detection and tracking algorithms, Multilayers, Retina, Control systems, Motion measurement, Ophthalmology, Ophthalmic imaging, Motion detection

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Proceedings Article | 5 June 2014 Paper

Measurement of depth representation using integral imaging for quality evaluation of computer-generated hologram

Soohyun Lee, Jeho Nam, Eun-Young Chang, Sung-Keun Lee, Kyungae Moon, Jinwoong Kim

Proceedings Volume 9117, 911706 (2014) https://doi.org/10.1117/12.2053512

KEYWORDS: Holograms, Holography, Integral imaging, Image sensors, 3D image reconstruction, Computer generated holography, Imaging systems, 3D image processing, Spatial light modulators, Signal to noise ratio

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Showing 5 of 11 publications

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