Prof. Jaepyeong Cha Profile

Prof. Jaepyeong Cha

Associate Professor at Children's National Hospital

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Publications (17)

Proceedings Article | 6 March 2023 Presentation + Paper

Multi-directional adjustable two-camera housing module for medical applications

Saardhak Bhrugubanda, Hun Chan Lee, Naomi Kifle, Yoseph Kim, Jaepyeong Cha

Proceedings Volume 12370, 1237002 (2023) https://doi.org/10.1117/12.2650821

KEYWORDS: Cameras, Surgery, Anatomy, Imaging systems, Near infrared, Visualization, RGB color model, Laparoscopy, Design and modelling, Biomedical applications

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Proceedings Article | 6 March 2023 Presentation + Paper

Faster R-CNN based parathyroid detection by using an automated annotation algorithm with a paired color and near-infrared imaging

Naomi Kifle, Saardhak Bhrugubanda, Yoseph Kim, Khalid Mohamed Ali, Samantha Wolfe, Jonathan Russell, Jaepyeong Cha

Proceedings Volume 12368, 1236809 (2023) https://doi.org/10.1117/12.2650934

KEYWORDS: Near infrared, Thyroid, Surgery, Deep learning, Video, Object detection

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Proceedings Article | 6 March 2023 Presentation

Liver resection surgery in a swine model using indocyanine green and a novel near-infrared fluorescent dye (BL-760)

Sailee Naik, Aneesh Naik, Christy Lee, Yoseph Kim, Jaepyeong Cha, So-Hyun Nam, Michele Saruwatari

Proceedings Volume PC12368, PC1236806 (2023) https://doi.org/10.1117/12.2650938

KEYWORDS: Surgery, Liver, Tumor growth modeling, Indocyanine green, Near infrared, Tumors

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SPIE Journal Paper | 28 November 2022 Open Access

Unsupervised and quantitative intestinal ischemia detection using conditional adversarial network in multimodal optical imaging

Yaning Wang, Laura Tiusaba, Shimon Jacobs, Michele Saruwatari, Bo Ning, Marc Levitt, Anthony Sandler, So-Hyun Nam, Jin Kang, Jaepyeong Cha

JMI, Vol. 9, Issue 06, 064502, (November 2022) https://doi.org/10.1117/12.10.1117/1.JMI.9.6.064502

KEYWORDS: RGB color model, Laser speckle contrast imaging, Ischemia, Image registration, Surgery, Tissues, Data modeling, Education and training, Speckle, Gallium nitride

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PurposeIntraoperative evaluation of bowel perfusion is currently dependent upon subjective assessment. Thus, quantitative and objective methods of bowel viability in intestinal anastomosis are scarce. To address this clinical need, a conditional adversarial network is used to analyze the data from laser speckle contrast imaging (LSCI) paired with a visible-light camera to identify abnormal tissue perfusion regions.ApproachOur vision platform was based on a dual-modality bench-top imaging system with red-green-blue (RGB) and dye-free LSCI channels. Swine model studies were conducted to collect data on bowel mesenteric vascular structures with normal/abnormal microvascular perfusion to construct the control or experimental group. Subsequently, a deep-learning model based on a conditional generative adversarial network (cGAN) was utilized to perform dual-modality image alignment and learn the distribution of normal datasets for training. Thereafter, abnormal datasets were fed into the predictive model for testing. Ischemic bowel regions could be detected by monitoring the erroneous reconstruction from the latent space. The main advantage is that it is unsupervised and does not require subjective manual annotations. Compared with the conventional qualitative LSCI technique, it provides well-defined segmentation results for different levels of ischemia.ResultsWe demonstrated that our model could accurately segment the ischemic intestine images, with a Dice coefficient and accuracy of 90.77% and 93.06%, respectively, in 2560 RGB/LSCI image pairs. The ground truth was labeled by multiple and independent estimations, combining the surgeons’ annotations with fastest gradient descent in suspicious areas of vascular images. The total processing time was 0.05 s for an image size of 256 × 256.ConclusionsThe proposed cGAN can provide pixel-wise and dye-free quantitative analysis of intestinal perfusion, which is an ideal supplement to the traditional LSCI technique. It has potential to help surgeons increase the accuracy of intraoperative diagnosis and improve clinical outcomes of mesenteric ischemia and other gastrointestinal surgeries.

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Proceedings Article | 4 April 2022 Presentation + Paper

Unsupervised optical small bowel ischemia detection in a preclinical model using convolutional variational autoencoders

Gyeong Woo Cheon, So-Hyun Nam, Jaepyeong Cha

Proceedings Volume 12033, 120333E (2022) https://doi.org/10.1117/12.2612609

KEYWORDS: Laser speckle contrast imaging, RGB color model, Tissues, Ischemia, Data modeling, Surgery, Cameras, Neural networks, Imaging systems, Computer programming

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Proceedings Article | 9 March 2022 Presentation + Paper

Computer-aided detection of parathyroid glands using a dual-RGB/NIR imaging and deep learning technique

Jongchan Kim, Jennifer Yoo, Yoseph Kim, Eugene Oh, Bo Ning, Jonathon Russell, Jaepyeong Cha

Proceedings Volume 11935, 1193504 (2022) https://doi.org/10.1117/12.2608939

KEYWORDS: RGB color model, Data modeling, Performance modeling, Surgery, Near infrared, Computer-aided diagnosis, Computer aided diagnosis and therapy, Imaging systems, Visual process modeling

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Proceedings Article | 21 February 2020 Paper

Development of a portable imager for intraoperative real-time localization of parathyroid glands

Eugene Oh, Wan Wook Kim, So-Hyun Nam, Gyeong Woo Cheon, Bo Ning, Jaepyeong Cha

Proceedings Volume 11229, 1122907 (2020) https://doi.org/10.1117/12.2546250

KEYWORDS: Imaging systems, Surgery, Laser speckle contrast imaging, Near infrared, Tissues, Kidney, RGB color model, Visualization, Blood circulation, Luminescence

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Proceedings Article | 15 March 2019 Presentation

Development and in vivo application of real-time intrahepatic flow display to guide liver dissection in minimally invasive surgery (Conference Presentation)

Jaepyeong Cha, Gyeong Woo Cheon, Jung-Man Namgoong

Proceedings Volume 10951, 109511B (2019) https://doi.org/10.1117/12.2512537

KEYWORDS: Liver, Surgery, In vivo imaging, Liver cancer, Laparoscopy, Cancer, Blood, Arteries, Veins, Physiology

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SPIE Journal Paper | 6 October 2015 Open Access

Multispectral tissue characterization for intestinal anastomosis optimization

Jaepyeong Cha, Azad Shademan, Hanh N. Le, Ryan Decker, Peter C. Kim, Jin Kang, Axel Krieger

JBO, Vol. 20, Issue 10, 106001, (October 2015) https://doi.org/10.1117/12.10.1117/1.JBO.20.10.106001

KEYWORDS: Tissues, Blood vessels, Multispectral imaging, Image segmentation, Tissue optics, Surgery, Image analysis, Visualization, Image visualization, Natural surfaces

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Proceedings Article | 5 March 2015 Paper

Automated long-term tracking of freely moving animal and functional brain imaging based on fiber optic microscopy

Jaepyeong Cha, Gyeong Woo Cheon, Jin Kang

Proceedings Volume 9317, 931708 (2015) https://doi.org/10.1117/12.2077034

KEYWORDS: Brain, Neuroimaging, Cameras, Brain imaging, Fiber optics, Near infrared, Imaging systems, Microscopes, Microscopy, Luminescence

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Proceedings Article | 20 March 2014 Paper

Fiber optic fluorescence microscopy for functional brain imaging in awake, mobile mice

Jaepyeong Cha, Martin Paukert, Dwight Bergles, Jin Kang

Proceedings Volume 8928, 89282N (2014) https://doi.org/10.1117/12.2038265

KEYWORDS: Brain, Fiber optics, Luminescence, Calcium, Neuroimaging, In vivo imaging, Microscopy, Imaging systems, Brain imaging, Visualization

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Proceedings Article | 12 March 2014 Paper

Polarization-sensitive multispectral tissue characterization for optimizing intestinal anastomosis

Jaepyeong Cha, Brian Triana, Azad Shademan, Axel Krieger, Peter C. Kim, Jin Kang

Proceedings Volume 9036, 90360H (2014) https://doi.org/10.1117/12.2043693

KEYWORDS: Tissues, Image segmentation, Tissue optics, Imaging systems, Surgery, Blood, Multispectral imaging, Blood vessels, Polarization, Image processing

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Proceedings Article | 27 February 2014 Paper

Multispectral tissue analysis and classification towards enabling automated robotic surgery

Brian Triana, Jaepyeong Cha, Azad Shademan, Axel Krieger, Jin Kang, Peter Kim

Proceedings Volume 8935, 893527 (2014) https://doi.org/10.1117/12.2040627

KEYWORDS: Tissues, Tissue optics, Surgery, Stomach, Robotic surgery, Spectroscopy, Kidney, Laparoscopy, Liver, Visualization

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Proceedings Article | 20 February 2014 Paper

Micro sized implantable ball lens-based fiber optic probe design

Jaepyeong Cha, Jin Kang

Proceedings Volume 8938, 893813 (2014) https://doi.org/10.1117/12.2038439

KEYWORDS: Brain, Neuroimaging, Fiber optics, Imaging systems, Luminescence, Tissues, Optical design, Green fluorescent protein, Distance measurement, Microscopes

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Proceedings Article | 20 February 2014 Paper

Spatial compound imaging for fiber-bundle optic microscopy

Gyeong Woo Cheon, Jaepyeong Cha, Jin Kang

Proceedings Volume 8938, 893811 (2014) https://doi.org/10.1117/12.2038690

KEYWORDS: Image processing, Image registration, Image resolution, Signal to noise ratio, Microscopy, Gaussian filters, Chemical elements, Structured optical fibers, Image quality, Image filtering

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Proceedings Article | 20 March 2013 Paper

Dual-modality fiber-optic imager (DFOI) for intracellular gene delivery in human cervical cancer cell

Jaepyeong Cha, Jing Zhang, Saumya Gurbani, Min Li, Jin Kang

Proceedings Volume 8576, 857604 (2013) https://doi.org/10.1117/12.2001636

KEYWORDS: Imaging systems, Luminescence, Reflectivity, Signal detection, Fiber optics, Green fluorescent protein, Cancer, Optical filters, Cervical cancer, In vivo imaging

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SPIE Journal Paper | 15 May 2012 Open Access

Real-time three-dimensional Fourier-domain optical coherence tomography video image guided microsurgeries

Jin Kang, Yong Huang, Jaepyeong Cha, Kang Zhang, Zuhaib Ibrahim, W. P. Andrew Lee, Gerald Brandacher, Peter Gehlbach

JBO, Vol. 17, Issue 8, 081403, (May 2012) https://doi.org/10.1117/12.10.1117/1.JBO.17.8.081403

KEYWORDS: Optical coherence tomography, Imaging systems, Image processing, 3D image processing, Video, Visualization, Surgery, Microsurgery, Ultrafast imaging, Video processing

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