Dr. Jihun Oh Profile

Dr. Jihun Oh

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Proceedings Article | 12 March 2014 Paper

Stereoscopic augmented reality using ultrasound volume rendering for laparoscopic surgery in children

Jihun Oh, Xin Kang, Emmanuel Wilson, Craig Peters, Timothy Kane, Raj Shekhar

Proceedings Volume 9036, 90360Y (2014) https://doi.org/10.1117/12.2043929

KEYWORDS: Ultrasonography, Laparoscopy, Visualization, Transducers, Video, Surgery, Imaging systems, Calibration, Volume rendering, 3D image processing

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In laparoscopic surgery, live video provides visualization of the exposed organ surfaces in the surgical field, but is unable to show internal structures beneath those surfaces. The laparoscopic ultrasound is often used to visualize the internal structures, but its use is limited to intermittent confirmation because of the need for an extra hand to maneuver the ultrasound probe. Other limitations of using ultrasound are the difficulty of interpretation and the need for an extra port. The size of the ultrasound transducer may also be too large for its usage in small children. In this paper, we report on an augmented reality (AR) visualization system that features continuous hands-free volumetric ultrasound scanning of the surgical anatomy and video imaging from a stereoscopic laparoscope. The acquisition of volumetric ultrasound image is realized by precisely controlling a back-and-forth movement of an ultrasound transducer mounted on a linear slider. Furthermore, the ultrasound volume is refreshed several times per minute. This scanner will sit outside of the body in the envisioned use scenario and could be even integrated into the operating table. An overlay of the maximum intensity projection (MIP) of ultrasound volume on the laparoscopic stereo video through geometric transformations features an AR visualization system particularly suitable for children, because ultrasound is radiation-free and provides higher-quality images in small patients. The proposed AR representation promises to be better than the AR representation using ultrasound slice data.

Proceedings Article | 13 March 2010 Paper

LCC demons with divergence term for liver MRI motion correction

Jihun Oh, Diego Martin, Oskar Skrinjar

Proceedings Volume 7623, 76232T (2010) https://doi.org/10.1117/12.843882

KEYWORDS: Liver, Magnetic resonance imaging, Image registration, Inflammation, Optical inspection, Tumors, Motion analysis, Gaussian filters, Convolution, Tissues

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Contrast-enhanced liver MR image sequences acquired at multiple times before and after contrast administration have been shown to be critically important for the diagnosis and monitoring of liver tumors and may be used for the quantification of liver inflammation and fibrosis. However, over multiple acquisitions, the liver moves and deforms due to patient and respiratory motion. In order to analyze contrast agent uptake one first needs to correct for liver motion. In this paper we present a method for the motion correction of dynamic contrastenhanced liver MR images. For this purpose we use a modified version of the Local Correlation Coefficient (LCC) Demons non-rigid registration method. Since the liver is nearly incompressible its displacement field has small divergence. For this reason we add a divergence term to the energy that is minimized in the LCC Demons method. We applied the method to four sequences of contrast-enhanced liver MR images. Each sequence had a pre-contrast scan and seven post-contrast scans. For each post-contrast scan we corrected for the liver motion relative to the pre-contrast scan. Quantitative evaluation showed that the proposed method improved the liver alignment relative to the non-corrected and translation-corrected scans and visual inspection showed no visible misalignment of the motion corrected contrast-enhanced scans and pre-contrast scan.

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