Mr. Byungdu Jo Profile

Byungdu Jo

Student at Yonsei Univ & Korea National Cancer Center

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Author

Publications (9)

Proceedings Article | 9 March 2018 Paper

Feasibility study of contrast enhanced digital mammography based on photon-counting detector by projection-based weighting technique: a simulation study

Minjae Lee, Donghoon Lee, Byungdu Jo, Hyemi Kim, Dohyeon Kim, Seungyeon Choi, Hee-Joung Kim

Proceedings Volume 10573, 105734Z (2018) https://doi.org/10.1117/12.2294609

KEYWORDS: Iodine, Sensors, Silicon, Dual energy imaging, Signal attenuation, Monte Carlo methods, X-rays, Breast, Digital mammography, Breast cancer

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Proceedings Article | 9 March 2018 Paper

Improvement of image quality and density accuracy of breast peripheral area in mammography

Hyemi Kim, Dohyeon Kim, Haeng-hwa Lee, Minjae Lee, Byungdu Jo, Hee-Joung Kim

Proceedings Volume 10573, 105735C (2018) https://doi.org/10.1117/12.2293532

KEYWORDS: Breast, Image processing, Image segmentation, Image quality, Mammography, Tissues, Image enhancement, Visibility, Breast cancer, Feature extraction

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Proceedings Article | 9 March 2017 Paper

Performance evaluation of algebraic reconstruction technique (ART) for prototype chest digital tomosynthesis (CDT) system

Haenghwa Lee, Sunghoon Choi, Byungdu Jo, Hyemi Kim, Donghoon Lee, Dohyeon Kim, Seungyeon Choi, Youngjin Lee, Hee-Joung Kim

Proceedings Volume 10132, 101325V (2017) https://doi.org/10.1117/12.2255647

KEYWORDS: Chest, Reconstruction algorithms, Image quality, Radiography, Tumors, Algorithm development, Sensors, Health sciences, Opacity

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Proceedings Article | 3 March 2017 Paper

A feasibility study of automatic lung nodule detection in chest digital tomosynthesis with machine learning based on support vector machine

Donghoon Lee, Ye-seul Kim, Sunghoon Choi, Haenghwa Lee, Byungdu Jo, Seungyeon Choi, Jungwook Shin, Hee-Joung Kim

Proceedings Volume 10134, 101343P (2017) https://doi.org/10.1117/12.2253294

KEYWORDS: Lung, Machine learning, Chest, CAD systems, Computed tomography, Data acquisition, Computer aided diagnosis and therapy, Optical filters, Medical device development, Computing systems, Gaussian filters, Solid modeling, Computer aided design

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Proceedings Article | 22 March 2016 Paper

Feasibility study of sparse-angular sampling and sinogram interpolation in material decomposition with a photon-counting detector

Dohyeon Kim, Byungdu Jo, Su-Jin Park, Hyemi Kim, Hee-Joung Kim

Proceedings Volume 9783, 97835O (2016) https://doi.org/10.1117/12.2216634

KEYWORDS: Signal to noise ratio, Sensors, Iodine, Photodetectors, Computed tomography, X-ray computed tomography, CT reconstruction, Photon counting, Reconstruction algorithms, Image contrast enhancement, Image enhancement, X-rays, Polymethylmethacrylate, Image quality

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Proceedings Article | 22 March 2016 Paper

Comparison of contrast enhancement methods using photon counting detector in spectral mammography

Hyemi Kim, Su-Jin Park, Byungdu Jo, Dohyeon Kim, Hee-Joung Kim

Proceedings Volume 9783, 97832J (2016) https://doi.org/10.1117/12.2216631

KEYWORDS: Photon counting, Dual energy imaging, Sensors, Breast, Imaging systems, Iodine, Mammography, Monte Carlo methods, Windows, Signal attenuation, Tissues, X-rays

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Proceedings Article | 18 March 2015 Paper

Evaluation of effective dose with chest digital tomosynthesis system using Monte Carlo simulation

Dohyeon Kim, Byungdu Jo, Youngjin Lee, Su-Jin Park, Dong-Hoon Lee, Hee-Joung Kim

Proceedings Volume 9412, 94125D (2015) https://doi.org/10.1117/12.2081778

KEYWORDS: Monte Carlo methods, Chest, Lung, Spine, Heart, X-rays, Bone, Tomography, Radiography, Imaging systems

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Proceedings Article | 18 March 2015 Paper

Detection of lung nodules in chest digital tomosynthesis (CDT): effects of the different angular dose distribution

Byungdu Jo, Youngjin Lee, Dohyeon Kim, Dong-Hoon Lee, Seong-Soo Jin, Shou-Chih Mu, Hye-Mi Kim, Hee-Joung Kim

Proceedings Volume 9412, 94125C (2015) https://doi.org/10.1117/12.2081767

KEYWORDS: Lung, Image quality, Chest, Imaging systems, Reconstruction algorithms, Image acquisition, Photons, Image processing, X-rays, Tomography

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Proceedings Article | 31 March 2014 Paper

Scatter correction method with primary modulator for dual energy digital radiography: a preliminary study

Byung-Du Jo, Young-Jin Lee, Dae-Hong Kim, Pil-Hyun Jeon, Hee-Joung Kim

Proceedings Volume 9033, 90335U (2014) https://doi.org/10.1117/12.2043016

KEYWORDS: Modulators, Dual energy imaging, Aluminum, Modulation, Monte Carlo methods, Polymethylmethacrylate, Radiography, Image quality, X-rays, Imaging systems

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In conventional digital radiography (DR) using a dual energy subtraction technique, a significant fraction of the detected photons are scattered within the body, resulting in the scatter component. Scattered radiation can significantly deteriorate image quality in diagnostic X-ray imaging systems. Various methods of scatter correction, including both measurement and non-measurement-based methods have been proposed in the past. Both methods can reduce scatter artifacts in images. However, non-measurement-based methods require a homogeneous object and have insufficient scatter component correction. Therefore, we employed a measurement-based method to correct for the scatter component of inhomogeneous objects from dual energy DR (DEDR) images. We performed a simulation study using a Monte Carlo simulation with a primary modulator, which is a measurement-based method for the DEDR system. The primary modulator, which has a checkerboard pattern, was used to modulate primary radiation. Cylindrical phantoms of variable size were used to quantify imaging performance. For scatter estimation, we used Discrete Fourier Transform filtering. The primary modulation method was evaluated using a cylindrical phantom in the DEDR system. The scatter components were accurately removed using a primary modulator. When the results acquired with scatter correction and without correction were compared, the average contrast-to-noise ratio (CNR) with the correction was 1.35 times higher than that obtained without correction, and the average root mean square error (RMSE) with the correction was 38.00% better than that without correction. In the subtraction study, the average CNR with correction was 2.04 (aluminum subtraction) and 1.38 (polymethyl methacrylate (PMMA) subtraction) times higher than that obtained without the correction. The analysis demonstrated the accuracy of scatter correction and the improvement of image quality using a primary modulator and showed the feasibility of introducing the primary modulation technique into dual energy subtraction. Therefore, we suggest that the scatter correction method with a primary modulator is useful for the DEDR system.

Showing 5 of 9 publications

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