Publications by authors named "Ki Hoon Kwon"
Image-to-patient registration is a coordinate system matching process between real patients and medical images to actively utilize medical images such as computed tomography (CT) during surgery. This paper mainly deals with a markerless method utilizing scan data of patients and 3D data from CT images. The 3D surface data of the patient are registered to CT data using computer-based optimization methods such as iterative closest point (ICP) algorithms.
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- The proposed light-field microscopy display system enhances image quality and provides realistic 3D measurement information by sequentially capturing high-resolution 2D and light-field images.
- A novel matting Laplacian-based depth estimation algorithm enables precise 3D surface data calculation, generating reliable depth information closely matching the actual specimen surface.
- By combining depth data with high-resolution 2D images, the system creates detailed 3D models that improve visualization and depth estimation accuracy on a 3D display device.
This paper proposes an algorithm that improves ship detection accuracy using preprocessing and post-processing. To achieve this, high-resolution electro-optical satellite images with a wide range of shape and texture information were considered. The developed algorithms display the problem of unreliable detection of ships owing to clouds, large waves, weather influences, and shadows from large terrains.
View Article and Find Full Text PDFWe propose and implement a high-quality three-dimensional (3D) display system for an integral imaging microscope using a simplified direction-inversed computation method based on user interaction. A model of the specimen is generated from the estimated depth information (via the convolutional neural network-based algorithm), the quality of the model is defined by the high-resolution two-dimensional image. The new elemental image arrays are generated from the models via a simplified direction-inversed computation method according to the user interaction and directly displayed on the display device.
View Article and Find Full Text PDFBackground: Gliomatosis cerebri (GC) is characterized by a diffuse infiltration of tumor cells throughout CNS, however, few details are available about the chemotherapeutic effect on GC. The aim of this study was to investigate its clinical course and to determine the efficacy of chemotherapy for GC.
Methods: Between Jan.