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International Journal

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International Journals

2024
122. Toward automated detection of microbleeds with anatomical scale localization using deep learning Jun-Ho Kim, Young Noh, Haejoon Lee, Seul Lee, Woo-Ram Kim, Koung Mi Kang, Eung Yeop Kim, Mohammed A. Al-masni, Dong-Hyun Kim Medical Image Analysis https://doi.org/10.1016/j.media.2024.103415
121. Real-world application of a 3D deep learning model for detecting and localizing cerebral microbleeds So Yeon Won, Jun-Ho Kim, Changsoo Woo, Dong-Hyun Kim, Keun Young Park, Eung Yeop Kim, Sun-Young Baek, Hyun Jin Han & Beomseok Sohn Acta Neurochirurgica (2024) 166:381. https://doi.org/10.1007/s00701-024-06267-9
[Editorial Board Selection: Front Cover, Featured Article, January Issue, 2025] 120. Deep Network Regularization for Phasebased Magnetic Resonance Electrical Properties Tomography with Stein's Unbiased Risk Estimator Chuanjiang Cui; Kyu-Jin Jung; Mohammed A. Al-masni; Jun-Hyeong Kim; Soo-Yeon Kim; Mina Park; Shao Ying Huang; Se Young Chun, Dong-Hyun Kim IEEE Transactions on Biomedical Engineering. 2024. 10.1109/TBME.2024.3438270.
119. Harmonic field extension for QSM with reduced spatial coverage using physics-informed generative adversarial network Siyun Jung, Soohyun Jeon, Sung-Min Gho, Ho-Joon Lee, Kyu-Jin Jung, Dong-Hyun Kim Neuroimage. 2024. https://doi.org/10.1016/j.neuroimage.2024.120528
118. JUST-Net: Jointly unrolled cross-domain optimization based spatio-temporal reconstruction network for accelerated 3D myelin water imaging Jae-Hun Lee, Jae-Yoon Kim, Kanghyun Ryu, Mohammed A. Al-masni, Tae Hyung Kim, Dongyeob Han, Hyun Gi Kim,and Dong-Hyun Kim Magnetic Resonance in Medicine. 2024 10.1002/mrm.30021
2023
117. Quantitative Analysis of Prostate MRI: Correlation between Contrast-Enhanced Magnetic Resonance Fingerprinting and Dynamic Contrast-Enhanced MRI Parameters Moon-Hyung Choi, Young-Joon Lee, Dongyeob Han, Dong-Hyun Kim CurrentOncology. 2023, 30(12), 10299-10310 https://doi.org/10.3390/curroncol30120750
116. MRI-Compatible, Transparent PEDOT:PSS Neural Implants for the Alleviation of Neuropathic Pain with Motor Cortex Stimulation Cho, Y. U., Kim, K., Dutta, A., Park, S. H., Lee, J. Y., Kim, H. W., Park, J., Kim, J., Min, W. K., Won, C., Park, J., Kim, Y., Kim, J. Y., Lee, T., Kim, H. J., Kim, D., Lee, J. E., Min, B.W., Cho, I. J., Lee, B. H., Cheng, H., Cha, M., Yu, K. J. Advanced Functional Materials 2023. https://doi.org/10.1002/adfm.202310908
115. Data-driven Electrical Conductivity Brain Imaging using 3T MRI Kyu-Jin Jung, Stefano Mandija, Chuanjiang Cui, Jun-Hyeong Kim, Mohammed A. Al-masni, Thierry G. Meerbothe, Mina Park, Cornelis A.T. van den Berg, and Dong-Hyun Kim Human Brain Mapping 2023. https://doi.org/10.1002/hbm.26421
114. Problem solving MRI to reduce false-positive biopsy related to breast US: Conductivity vs DWI vs abbreviated contrast-enhanced MRI Jun-Hyeong Kim, Soo-Yeon Kim*, Chuanjiang Cui, Hye Ji, Heera Yoen, Nariya Cho, Dong-Hyun Kim Journal of Magnetic Resonance Imaging 2023,10.1002/jmri.28884,
113. Correlation between standardized uptake value of 18F-FDG PET/CT and conductivity with pathologic prognostic factors in breast cancer Dong‑Joo Shin, Hongyoon Choi, Dong Kyu Oh, Hyun Pil Sung, Jun‑Hyeong Kim , Dong-Hyun Kim, Soo‑Yeon Kim ScientificReport13, 9844, June2023 https://doi.org/10.1038/s41598-023-36958-9
112. A Single Stage Knowledge Distillation Network for BrainTumor Segmentation on Limited MR Image Modalities Yoonseok Choi, Mohammed A. Al-masni, Kyu-Jin Jung, Roh-Eul Yoo, Seong-Yeong Lee, Dong-Hyun Kim Computer Methods and Programs in Biomedicine Volume 240, October 2023, 107644, https://doi.org/10.1016/j.cmpb.2023.107644
111. Augmented Reality Surgical Navigation System Integrated with Deep Learning Shin-YanChiou, Li-Sheng Liu, Chia-Wei Lee, Dong-Hyun Kim, Mohammed A. Al-masni, Hao-Li Liu, Kuo-Chen Wei, Jiun-Lin Yan, Pin-Yuan Chen Bioengineering 2023, 10(5),617. 20 May 2023, https://doi.org/10.3390/bioengineering10050617
110. A knowledge interaction learning for multi-echo MRI motion artifact correction towards better enhancement of SWI Mohammed A. Al-masni, Seul Lee, Abobakr Khalil Al-Shamiri, Sung-Min Gho, Young Hun Choi, Dong-Hyun Kim Computers in Biology and Medicine Volume 153. February 2023, https://doi.org/10.1016/j.compbiomed.2023.106553
2022
109. Technical note: Multi-receiver combination method for phase-based electrical property tomography of the breast Jun-Hyeong Kim, Jaewook Shin, Kyu-Jin Jung, Chuanjiang Cui, Jae-Hun Lee, Soo-Yeon Kim and Dong-Hyun Kim Medical Physics. 30 December 2022, DOI: 10.1002/mp.16195
108. Detection of Cerebral Microbleeds in MR Images using a Single-Stage Triplanar Ensemble Detection Network (TPE-Det) Haejoon Lee, Mohammed A. Al-masni, and Dong-Hyun Kim Journal of Magnetic Resonance Imaging. 6 October 2022, https://doi.org/10.1002/jmri.28487
107. Stacked U-Nets with Self-Assisted Priors Towards Robust Correction of Rigid Motion Artifact in Brain MRI Mohammed A. Al-masni, Seul Lee, Jaeuk Yi, Sewook Kim, Sung-Min Gho, Young Hun Choi, and Dong-Hyun Kim NeuroImage. Volume 259, 1 October 2022, https://doi.org/10.1016/j.neuroimage.2022.119411
106. Accelerated 3D Myelin Water Imaging Using Joint Spatio-temporal Reconstruction Jae-Hun Lee, Jaeuk Yi, Jun-Hyeong Kim, Kanghyun Ryu, Dongyeob Han, Sewook Kim, Seul Lee, Deog Young Kim, and Dong-Hyun Kim Medical Physics, June 2022, doi: 10.1002/mp.15788
105. Myelin Water Imaging of nerve recovery in rehabilitating stroke patients Muyul Park, Yejin Cho, DaeHyun Kim, Hyun Seok Choi, and Dong-Hyun Kim Journal of Magnetic Resonance Imaging, Mar 2022, https://doi.org/10.1002/jmri.28185
104. Improved multi-echo gradient echo myelin water fraction mapping using complex-valued neural network analysis Soozy Jung, JiSu Yun, Deog Young Kim, and Dong-Hyun Kim Magnetic Resonance in Medicine, doi : 10.1002/mrm.29192
2021
103. Automated Brain Volumetry in Patients With Memory Impairment: Comparison of Conventional and Ultrafast 3D T1-weighted MRI Sequences Using Two Software Packages
Young Jin Heo, Hye Jin Baek, Stefan Skare, Ho-Joon Lee, Dong-Hyun Kim, Junho Kim, and Seokho Yoon
American Journal of Roentgenology. 2021, https://doi.org/10.2214/AJR.21.27043

102. Brain myelin water fraction is associated with APOE4 allele status in patients with cognitive impairment. Journal of NeuroimagingMina Park, Hong Pyo Lee, Junghyeob Kim, Dong Hyun Kim, Yeonsil Moon, Won-Jin Moon
Journal of Neuroimaging. DOI: 10.1111/jon.12960

101. 3D MR fingerprinting (MRF) for simultaneous T1 and T2 quantification of the bone metastasis: Initial validation in prostate cancer patientsMoon Hyung Choi, Sheen-Woo Lee, Hyun Gi Kim, Jee Young Kim, Se Won Oh, Dongyeob Han, Dong-Hyun Kim
European Journal of Radiology. Vol 144, Nov 2021, 109990. https://doi.org/10.1016/j.ejrad.2021.109990

100. Improved Multi-echo Gradient-echo based Myelin Water Fraction Mapping using Dimensionality ReductionJae Eun Song, Dong-Hyun Kim
IEEE Transactions on Medical Imaging. August 2021. 10.1109/TMI.2021.3102977

99. Magnetic resonance fingerprinting in prostate cancer before and after contrast enhancementYoung Sub Lee, Moon Hyung Choi, Young Joon Lee, Dongyeob Han, Dong-Hyun Kim
British Journal of Radiology, 94: 20210479, August 2021. https://doi.org/10.1259/ bjr.20210479

98. Three-dimensional MR fingerprinting in neonates: Quantifying regional difference and maturation in the brain Nali Yu, Jee Young Kim, Dongyeob Han, So Young Kim, Hye Mi Lee, Dong-Hyun Kim, and Hyun Gi Kim
Investigative Radiology, Volume 57, Number 1, January 2022. doi: 10.1097/RLI.0000000000000800

97. Offset of Apparent Hyperpolarized 13 C Lactate Flux by the use of Adjuvant Metformin in Ionizing Radiation Therapy in vivoYoung-Suk Choi, Joonsung Lee, Han-Sol Lee, Jae Eun Song, Dong-Hyun Kim, Ho-Taek Song
NMR in Biomedicine. 2021 Volume34, Issue8, August 2021, e4561. doi: 10.1002/nbm.4561

96. Feasibility of novel 3D MR fingerprinting in the prostate gland: phantom and clinical studiesDongyeob Han, Moon Hyung Choi*, Young Joon Lee, Dong-Hyun Kim
Korean Journal of Radiology. May 2021;22:e65. https://doi.org/10.3348/kjr.2020.1362

95. CMM-Net: Contextual multi-scale multi-level network for efficient biomedical image segmentationMohammed A. Al-Masni, Dong-Hyun Kim
Nature, Scientific Reports, 11, Article number: 10191 (2021)

94. Improving phase-based conductivity reconstruction by means of deep learning–based denoising of B1+ phase data for 3T MRIKyu-Jin Jung, Stefano Mandija, Jun-Hyeong Kim, Kanghyun Ryu, Soozy Jung, Chuanjiang Cui, Soo-Yeon Kim, Mina Park, Cornelis A. T. van den Berg, Dong-Hyun Kim
Magnetic Resonance in Medicine doi:https://doi.org/10.1002/mrm.28826

93. Noncontrast-enhanced MR-based Conductivity Imaging for Breast Cancer Detection and Lesion DifferentiationJune Suh, Jun‐Hyeong Kim, Soo‐Yeon Kim, Nariya Cho, Dong‐Hyun Kim, Rihyeon Kim, Eun Sil Kim, Myoung‐jin Jang, Su Min Ha, Su Hyun Lee, Jung Min Chang, Woo Kyung Moon.
Journal of Magnetic Resonance Imaging. Volume54, Issue2. August 2021. Pages 631-645

92. Accelerated multi-contrast reconstruction for synthetic MRI using joint parallel imaging and variable splitting networksKanghyun Ryu, Jae-Hun Lee, Yoonho Nam, Sung-Min Gho, Ho-Sung Kim, and Dong-Hyun Kim
Medical Physics. Volume48, Issue6. June 2021. Pages 2939-2950

91. 3D Multi-Scale Residual Network Toward Lacunar Infarcts Identification From MR Images With Minimal User InterventionMohammed A. Al-Masni, Woo-Ram Kim, Eung Yeop Kim, Young Noh, Dong-Hyun Kim
IEEE Access, 9, pp. 11787 - 11797 (2021)

2020
90. Automated detection of cerebral microbleeds in MR images: A two-stage deep learning approachMohammed A.Al-masni, Woo-RamKim, Eung YeopKim, YoungNoh, Dong-HyunKim
NeuroImage: Clinical, 2020, 102464.
https://doi.org/10.1016/j.nicl.2020.102464

89. Artificial neural network for multi‐echo gradient echo–based myelin water fraction estimationSoozy Jung, Hongpyo Lee, Kanghyun Ryu, Jae Eun Song, Mina Park, Won-Jun Moon, Dong-Hyun Kim
Magnetic Resonance in Medicine. 2020;00:1–10. https://doi.org/10.1002/mrm.28407

88. L-Glutamine as a T2 exchange contrast agentChan Gyu Joo, Seung-Hyun Yang, Yuna Choi, Hye-Young Son, Dong-Hyun Kim, Yong-Min Huh
Magnetic Resonance in Medicine 2020; Oct 84:2055–2062, 10.1002/mrm.28305

87. Stenosis Detection From Time-of-Flight Magnetic Resonance Angiography via Deep Learning 3D Squeeze and Excitation Residual NetworksHunjin Chung, Koung Mi Kang, Mohammed A. Al-masni, Chul-Ho Sohn, Yoonho Nam, Kanghyun Ryu, and Dong-Hyun Kim
IEEE Access. 2020 Dec. vol 8 issue 1, 43325-43335. 10.1109/ACCESS.2020.2977669

86. Multiple Skin Lesions Diagnostics via Integrated Deep Convolutional Networks for Segmentation and ClassificationMohammed A. Al-masni, Dong-Hyun Kim, and Tae-Seong Kim
Computer Methods and Programs in Biomedicine. 190: 105351. https://doi.org/10.1016/j.cmpb.2020.105351

85. Blind Source Separation for Myelin Water Fraction Mapping using Multi-echo Gradient Echo ImagingJae Eun Song, Jaewook Shin, Hongpyo Lee, Ho Joon Lee, Won-Jin Moon, Dong-Hyun Kim
IEEE Transactions on Medical Imaging. Accepted 2020. 10.1109/TMI.2020.2967068

84. Dynamic hyperpolarized 13C MR spectroscopic imaging using SPICE in mouse kidney at 9.4 TJae Eun Song, Jaewook Shin, Hansol Lee, Young‐Suk Choi, Ho‐Taek Song, Dong‐Hyun Kim
NMR in Biomedicine. 2020 March, vol 33, issue 3, e4230. https://doi.org/10.1002/nbm.4230.

83. Validation of Deep Learning-Based Artifact Correction on Synthetic FLAIR Images in a Different Scanning EnvironmentKyeong Hwa Ryu, Hye Jin Baek, Sung-Min Gho, Kanghyun Ryu, Dong-Hyun Kim, Sung Eun Park, Ji Young Ha, Soo Buem Cho, Joon Sung Lee
J. Clin. Med. 2020, 9, 364 doi:10.3390/jcm9020364.

2019
82. Estimating age-related changes in in-vivo cerebral magnetic resonance angiography using convolutional neural networkYoonho Nam, Hea Yon Lee, Yangsean Choi, Na Young Shin, Kang-Hyun Ryu, Dong Hyun Kim, So-Lyung Jung, Kook-jin Ahn, Bum-soo Kim, Jinhee Jang
Neurobiology of Aging 2019. https://doi.org/10.1016/j.neurobiolaging.2019.12.008

81. Synthesizing T1 weighted MPRAGE image from multi echo GRE images via deep neural networkKanghyun Ryu, Na-Young Shin, Dong-Hyun Kim, Yoonho Nam
Magnetic Resonance Imaging. 2019. https://doi.org/10.1016/j.mri.2019.04.002

80. Data-Driven synthetic MRI FLAIR artifact correction via Deep Neural NetworkKanghyun Ryu, Yoonho Nam, Sung-Min Gho, Jinhee Jang, Ho-Joon Lee, Jihoon Cha, Hye Jin Baek, Jiyong Park, and Dong-Hyun Kim
Journal of Magnetic Resonance Imaging. 2019. 10.1002/jmri.26712

79. Spatiotemporal variations of magnetic susceptibility in the deep gray matter nuclei from 1 month to 6 years: A quantitative susceptibility mapping studyNing Ning, Congcong Liu, Peng Wu, Yajie Hu, Weishan Zhang, Lei Zhang, Mengxuan Li, Sung-Min Gho, Dong-Hyun Kim, Hua Guo, Jian Yang, Chao Jin
Journal of Magnetic Resonance Imaging. 2019. June 49(6): 1600-1609. DOI: 10.1002/jmri.26579

78. Echo-Time Range Effects on Gradient Echo Based Myelin Water Fraction Mapping at 3THongpyo Lee, Yoonho Nam, Dong-Hyun Kim.
Magnetic Resonance in Medicine. 2019 ;April 81(4):2799-2807. https://doi.org/10.1002/mrm.27564

77. Simultaneous Estimation of PD, T1, T2, T2*, and ¥ÄB0 using Magnetic Resonance Fingerprinting with Background Gradient CompensationTaehwa Hong, Dongyeob Han, Dong-Hyun Kim.
Magnetic Resonance in Medicine. 2019; April 81(4):2614-2623.

76. Redesign of the Laplacian kernel for improvements in conductivity imaging using MRIJaewook Shin, Jun-Hyeong Kim, Dong-Hyun Kim.Magnetic Resonance in Medicine. 2019;March 81(3):2167-2175. DOI:10.1002/mrm.27528

75. Multi-echo GRE-based conductivity imaging using Kalman phase estimation methodKanghyun Ryu, Jaewook Shin, Hongpyo Lee, Jun-Hyeong Kim, Dong-Hyun Kim.
Magnetic Resonance in Medicine. 2019;Jan 81:702–710. DOI: 10.1002/mrm.27376

2018
74. Hyperpolarized [1-13C] pyruvate MR spectroscopy detect altered glycolysis in the brain of a cognitively impaired mouse model fed high-fat diet Young-Suk Choi, Somang Kang, Sang-Yoon Ko, Saeram Lee, Jae Young Kim, Hansol Lee, Jae Eun Song, Dong-Hyun Kim, Eosu Kim, Chul Hoon Kim, Lisa Saksida, Ho-Taek Song, Jong Eun Lee
Molecular Brain 11:75. 2018. DOI : 10.1186/s13041-018-0415-2

73. Correlation between Electrical Conductivity and Apparent Diffusion Coefficient in Breast Cancer: Effect of Necrosis on Magnetic Resonance Imaging. Soo-Yeon Kim, Jaewook Shin, Dong-Hyun Kim, Eun-Kyung Kim, Hee Jung Moon, Jung Hyun Yoon, Jai Kyung You, Min Jung Kim
European Radiology. 2018, Aug;28(8):3204-3214. doi: 10.1007/s00330-017-5291-0

72. High Resolution Hyperpolarized 13C MRSI using SPICE at 9.4 T. Hansol Lee, Jae Eun Song, Jaewook Shin, Eunhae Joe, Young-suk Choi, Ho-Taek Song, Dong-Hyun Kim.
Magnetic Resonance in Medicine. 2018 Aug;80(2):703-710. doi: 10.1002/mrm.27061

71. Improved Three-dimensional Multi-echo Gradient Echo Based Myelin Water Fraction Mapping With Phase Related Artifact Correction. Hongpyo Lee, Yoonho Nam, Ho-Joon Lee, Jung-Jiin Hsu, Roland G Henry, Dong-Hyun Kim.
Neuroimage, April, 2018;169:1-10. doi.org/10.1016/j.neuroimage.2017.11.058

70. Fast B1+ mapping using three consecutive RF pulses and balanced gradients for improved bSSFP imaging. Min-Oh Kim, Taehwa Hong, Dong-Hyun Kim.
Magnetic Resonance Imaging. February 2018;46:40-46. DOI:10.1016/j.mri.2017.10.010

2017
69. Magnetic Resonance Electrical Properties Tomography for small anomalies using Boundary Conditions: A Simulation Study. Joonsung Lee, Narae Choi, Jin Keun Seo, Dong-Hyun Kim.
Medical Physics. September 2017;44(9):4773-4785

68. Regulation of root patterns in mammalian teeth. Hyejin Seo, Jinsun Kim, Jae Joon Hwang, Ho-Gul Jeong, Sang-Sun Han, Wonse Park, Kanghyun Ryu, Hong Seomun, Jae-Young Kim, Eui-Sic Cho, Joo-Cheol Park, Kyung-Seok Hu, Hee-Jin Kim, Dong-Hyun Kim, Sung-Won Cho.
Scientific Reports. October 2017, SCientifiC RePoRtS 7:12714. DOI:10.1038/s41598-017-12745-1

67. RF slice profile effects in magnetic resonance fingerprinting. Taehwa Hong, Dongyeob Han, Min-Oh Kim, Dong-Hyun Kim.
Magnetic Resonance Imaging. September 2017;41:73-79. DOI:10.1016/j.mri.2017.04.001

66. Fast spin echo imaging based electric property tomography with k-space weighting via T2 relaxation (rEPT). Jaewook Shin, Min-Oh Kim, Sungmin Cho, Dong-Hyun Kim.
IEEE Transactions on Medical Imaging. August 2017;36(8):1615-1625. DOI: 10.1109/TMI.2017.2684194

65. Rapid Chemical Shift Encoding with Single-Acquisition Single-Slab 3D GRASE.Hahnsung Kim, Dong-Hyun Kim, Chul-Ho Sohn, Jaeseok Park.
Magnetic Resonance in Medicine. November, 2017;78:1852-1861. DOI 10.1002/mrm.26595

64. Flow-Suppressed Hyperpolarized 13C Chemical Shift Imaging Using Velocity-Optimized Bipolar Gradient in Mouse Liver Tumors at 9.4 T. Hansol Lee, Joonsung Lee, Eunhae Joe, Seungwook Yang, Jae Eun Song, Young-Suk Choi, Eunkyung Wang, Chan Gyu Joo, Ho-Taek Song, Dong-Hyun Kim.
Magnetic Resonance in Medicine. November 2017;78:1674-1682. DOI 10.1002/mrm.26578

63. An indirect method for in vivo T2 mapping of [1-13C] pyruvate using hyperpolarized 13C CSI. Eunhae Joe, Hansol Lee, Joonsung Lee, Seungwook Yang, Young-Suk Choi, Eunkyung Wang, Ho-Taek Song, Dong-Hyun Kim.
NMR in Biomedicine. May 2017;30:e3690. DOI:10.1002/nbm.3690

62. Imaging of Nigrosome 1 in Substantia Nigra at 3T using Multi-echo Susceptibility Map Weighted Imaging (SMWI). Yoonho Nam, Sung-Min Gho, Dong-Hyun Kim, Eung-Yeop Kim, Jongho Lee.
Journal of Magnetic Resonance Imging. August 2017;46:528-536.DOI:10.1002/jmri.25553

61. High-SNR Multiple T2*-Contrast Magnetic Resonance Imaging Using a Robust Denoising Method Based on Tissue Characteristics. Taejoon Eo, Taeseong Kim, Yohan Jun, Hongpyo Lee, Sung Soo Ahn, Dong-Hyun Kim, and Dosik Hwang.
Journal of Magnetic Resonance Imging, June 2017;45:1835–1845, DOI:10.1002/jmri.25477

60. Mechanisms of T2* Anisotropy and Gradient Echo Myelin Water Imaging. Jongho Lee, Yoonho Nam, Joon Yul Choi, Eung Yeop Kim, Se-Hong Oh, Dong-Hyun Kim.
NMR in Biomedicine. Review article. 2017 April 30(4):e3513, DOI: 10.1002/nbm.3513

2016
59. Metabolite-Selective Hyperpolarized 13C Imaging using Extended Chemical Shift Displacement at 9.4T. Seungwook Yang, Joonsung Lee, Eunhae Joe, Hansol Lee, Young-Suk Choi, Jae Mo Park, Daniel Spielman, Ho-Taek Song, Dong-Hyun Kim.
Magnetic Resonance Imaging, May 2016, 34(4):535-540

58. MR based conductivity imaging using multiple receiver coils. Joonsung Lee, Jaewook Shin, Dong-Hyun Kim.
Magnetic Resonance in Medicine, August 2016, 76:530-539

57. Multiscale Coherence Regularization Reconstruction using a Nonlocal Operator for Fast Variable-density Spiral Imaging. Sheng Fang, Lv Li, Wenchuan Wu, Juan Wei, Dong-Hyun Kim, Chun Yuan and Hua Guo.
Magnetic Resonance Imaging, July 2016; 34(7): 964–973

56. Correlation between conductivity and prognostic factors in invasive breast cancer using magnetic resonance electric properties tomography (MREPT). Soo-Yeon Kim, Jaewook Shin, Dong-Hyun Kim, Min Jung Kim, Eun-Kyung Kim, Hee Jung Moon, Jung Hyun Yoon.
European Radiology, published online (23 Oct 2015), July 2016, Volume 26, Issue 7, pp 2317-2326

55. Simultaneous Quantitative Mapping of Conductivity and Susceptibility Using a Double-Echo UTE Sequence: Example Using a Hematoma Evolution Study. Sung-Min Gho, Jeawook Shin, Min-Oh Kim, Dong-Hyun Kim.
Magnetic Resonance in Medicine, July 2016, 76(1):214-221. (published online (24 Aug 2015), DOI 10.1002/mrm.25869)

54. MultiSlice CAIPIRINHA Using View Angle Tilting Technique(CAIPIVAT). Min-Oh Kim, Taehwa Hong, Dong-Hyun Kim.
TOMOGRAPHY, Vol 2 (Issue 1) March 2016, 43-48
2015
53. Physiological Noise Compensation in Gradient-echo Myelin Water Imaging. Yoonho Nam, Dong-Hyun Kim, Jongho Lee.
Neuroimage, Oct 2015, 120:345–349

52. Frequency-Dependent Conductivity Contrast for Tissue Characterization Using a Dual-Frequency Range Conductivity Mapping Magnetic Resonance Method. Dong-Hyun Kim, Munish Chauhan, Min-Oh Kim, Woo Chul Jeong, Hyung Joong Kim, Igor Serša, Oh In Kwon, Eung Je Woo.
IEEE Transactions On Medical Imaging, Feb 2015, 34:507-513

51. Volumetric R2* Mapping using Z-shim Multi-echo Gradient Echo Imaging. Dongyeob Han, Yoonho Nam, Sung-Min Gho, Dong-Hyun Kim.
Magnetic Resonance in Medicine, Mar 2015, 73:1164-1170

50. Variable-Flip-Angle Single-Slab 3D GRASE Imaging with Phase-Independent Image Reconstruction. Hahnsung Kim, Dong-Hyun Kim, Jaeseok Park.
Magnetic Resonance in Medicine, Mar 2015, 73:1041-1052

49. Improved estimation of myelin water fraction using complex model fitting.Yoonho Nam, Jongho Lee, Dosik Hwang, Dong-Hyun Kim.
Neuroimage, Aug 2015, 116:214-221

48. Initial Study on In Vivo Conductivity Mapping of Breast Cancer Using MRI. Jaewook Shin, Min Jung Kim, Joonsung Lee, Yoonho Nam, Min-oh Kim, Narae Choi, Sooyeon Kim, Dong-Hyun Kim.
Journal of Magnetic Resonance Imging, Aug 2015, 42:371-378
2014
47. Improved Susceptibility Weighted Imaging Method using Multi-Echo Acquisition. Sung Suk Oh, Se-Hong Oh, Yoonho Nam, Dongyeop Han, Randall B. Stafford, Jinyoung Hwang, Dong-Hyun Kim, HyunWook Park, Jongho Lee.
Magnetic Resonance in Medicine, August 2014, 72:452-458

46. Susceptibility Map-Weighted Imaging for Neuroimaging.Sung-min Gho, Chunlei Liu, Wei Li, Ung Jang, Eung Yeop Kim, Dosik Hwang, Dong-Hyun Kim.
Magnetic Resonance in Medicine, July 2014, 72:337-346

45. A modified multi-echo AFI for simultaneous B1+ magnitude and phase mapping. Narae Choi, Joonsung Lee, Min-Oh Kim, Jaewook Shin, Dong-Hyun Kim.
Magnetic Resonance Imaging, May 2014, 32:314-320

44. Simultaneous Imaging of In-vivo Conductivity and Susceptibility. Dong-Hyun Kim, Narae Choi, Sung-Min Gho, Jaewook Shin, Chunlei Liu.
Magnetic Resonance in Medicine, March 2014, 71:1144-1150

43. Effect of Combined Bevacizumab and Temozolomide Treatment on Intramedullary Spinal Cord Tumor. So-Jung Gwak , Sung Su An, Moon Sul Yang, Eunhae Joe, Dong-Hyun Kim, Do Heum Yoon, Keung Nyun Kim, Yoon Ha
Spine, January 15, 2014, Vol 39, Issue 2, pp E65-E73

42. Simultaneous Imaging of Dual-Frequency Electrical Conductivity Using a Combination of MREIT and MREPT.Hyung Joong Kim, Woo Chul Jeong, Saurav ZK Sajib, Min-Oh Kim, Oh In Kwon, Eung Je Woo, Dong-Hyun Kim.
Magnetic Resonance in Medicine, January 2014, 71:200-208
2013
41. Accelerated MR whole brain imaging with sheared voxel imaging using aliasing separation gradients. Min-Oh Kim, Joonsung Lee, Sang-Young Zho, Dong-Hyun Kim.
Medical Physics, 40(6), June 2013: 062301

40. Improvement of the SNR and Resolution of Susceptibility-Weighted Venography by Model-Based Multi-Echo Denoising. Ung Jang, Yoonho Nam, Dong-Hyun Kim, Dosik Hwang.
Neuroimage, April 15, 2013, 70: 308-316

39. Recent Progress and Future Challenges in MR Electric Properties Tomography. Ulrich Katscher, Dong-Hyun Kim, and Jin Keun Seo.
Computational and Mathematical Methods in Medicine, vol. 2013, 11 pages, 2013

38 Noninvasive Measurement of Conductivity Anisotropy at Larmor frequency using MRI. Joonsung Lee, Song Yizhuang, Narae Choi, Sungmin Cho, Jin Keun Seo, Dong-Hyun Kim.
Computational and Mathematical Methods in Medicine, vol. 2013, 12 pages, 2013

37. Computer-aided detection of metastatic brain tumors using Magnetic Resonance black-blood imaging.Seungwook Yang, Yoonho Nam, Min-Oh Kim, Eung Yeop Kim, Jaeseok Park, Dong-Hyun Kim.
Investigative Radiology, February 2013, 48(2), p113-119

36. Artifact reduction from metallic dental materials in T1-weighted spin-echo imaging at 3.0T. Sang-Young Zho, MinOh Kim, Keun Woo Lee, Dong-Hyun Kim.
Journal of Magnetic Resonance Imaging, February 2013, 37:471-478

2012
35. HR-MAS MR Spectroscopy of Breast Cancer Tissue Obtained with Core Needle Biopsy: Correlation with Prognostic Factors. Ji Soo Choi, Hyeon-Man Baek, Suhkmann Kim, Min Jung Kim, Ji Hyun Youk, Hee Jung Moon, Eun-Kyung Kim, Kyung Hwa Han, Dong-Hyun Kim, Seung Il Kim, Ja Seung Koo.
PLOS ONE, December 2012, 7(12): e51712

34. Single-scan R2* measurement with macroscopic field inhomogeneity correction.Yoonho Nam, Dongyeob Han, Dong-Hyun Kim.
Neuroimage, December 2012, 63: 1790-1799

33. Time-Varing View angle tilting with spiral readout gradients.Sang-Young Zho, Dong-Hyun Kim.
Magnetic Resonance in Medicine, 2012, October, 68:1220-1227

32. 3D imaging using magnetic resonance tomosynthesis (MRT) technique.Min-Oh Kim, Sang-Young Zho, Dong-Hyun Kim.
Medical Physics, August 2012, 39(8), 4733-4741

31. Electrical tissue property imaging using MRI at dc and Larmor frequency. Jin Keun Seo, Dong-Hyun Kim, Joonsung Lee, Oh In Kwon, Saurav Z. K. Sajib and Eung Je Woo
Inverse Problems, August 2012, 28, 084002

30. Error analysis of non-constant admittivity for MR-based electric property imaging. Jin Keun Seo, Min-oh Kim, Joonsung Lee, Narae Choi, Eung Je Woo, Hyung Joong Kim, Oh In Kwon, and Dong-Hyun Kim.
IEEE Transactions on Medical Imaging, Feb 2012, 31:430-437

29. Fast and tissue-optimized mapping of magnetic susceptibility and T2* with multi-echo and multi-shot spirals.Bing Wu, Wei Li, Alexandru Vlad Avram, Sung-Min Gho, Chunlei Liu.
NeuroImage 59 (2012) 297–305
2011
28 Robust Mapping of the Myelin Water Fraction in the Presence of Noise: Synergic Combination of Anisotropic Diffusion Filter and Spatially Regularized Nonnegative Least Squares Algorithm. Dosik Hwang, Hyunjin Chung, Yoonho Nam, Yiping P. Du, Ung Jang.
Journal of Magnetic Resonance Imaging 34:189–195, 2011

27. On the use of a spin-echo based double inversion recovery acquisition for the measurement of cortical brain thickness.Yoonho Nam, Eung-Yeop Kim, Dong-Hyun Kim.
Journal of Magnetic Resonance Imaging, 2011, May, 33:1218-1223

26. Local in-vivo shimming using adaptive passive shim positioning. Sejung Yang, Hahnsung Kim, Min-Oh Ghim, Byung-Uk Lee, Dong-Hyun Kim.
Magnetic Resonance Imaging. 2011, April, 29(3):401-407.

2010
25. Three Dimension Double Inversion Recovery gray matter imaging using Compressed Sensing. Sung-Min Gho, Yoonho Nam, Sang-Young Zho, Eung Yeop Kim, Dong-Hyun Kim.
Magnetic Resonance Imaging. 2010, December, 28:1395-1402.

24. Respiratory motion compensated magnetic resonance cholangiopancreatography at 3.0T.Sang-Young Zho, Jaeseok Park, Jin-Young Choi, Dong-Hyun Kim.
Journal of Magnetic Resonance Imaging. 2010, September, 32:726-732.

23. In vivo multislice mapping of myelin water content using T2* decay. Dosik Hwang, Dong-Hyun Kim, Yiping P. Du.
Neuroimage. 2010, August, 52:198-204.

2009
22. Improved Shim Method Based on the Minimization of the Maximum Off-resonance Frequency for Balanced SSFP. Jongho Lee, Michael Lustig, Dong-Hyun Kim, John M. Pauly.
Magnetic Resonance in Medicine. 2009, June 61:1500-1506 (Published online: Mar 25, 2009).

21. Gradient Moment Compensated Magnetic Resonance Spectroscopic Imaging. Dong-Hyun Kim, Meng Gu, Daniel M. Spielman.
Magnetic Resonance in Medicine. 2009, February 61:457-461.

20. Triple-Layer Appearance of Brodmann Area 4 at Thin-Section Double Inversion-Recovery MR Imaging. Kim EY, Kim DH, Chang JH, Yoo E, Lee JW, Park HJ.
Radiology. 2009, February 250(2):515-22.

19. Fast 3D 1H MRSI of the Corticospinal Tract in Pediatric Brain. Dong-Hyun Kim, Meng Gu, Charles Cunningham, Albert Chen, Fiona Baumer, Orit A. Glenn, Daniel B. Vigneron, Daniel M. Spielman, Anthony James Barkovich.
Journal of Magnetic Resonance Imaging. 2009 January;29:1-6 (Published online: Dec 18 2008).

2008
18. Measuring fractional anisotropy of the corpus callosum using diffusion tensor imaging: mid-sagittal versus axial imaging planes. Eung Yeop Kim, Hae-Jeong Park, Dong-Hyun Kim, Seung-Koo Lee, Jinna Kim.
Korean journal of Radiology (SCIE). Oct 2008;9: 391-395

17. In Vivo 1H MRS of Amniotic Fluid and Fetal Lung at 1.5T: Technical Challenges. Dong-Hyun Kim, Kiarash Vahidi, Aaron B. Caughey, Fergus V. Coakley, Daniel B. Vigneron, John Kurhanewicz, Ben Mow, Bonnie N. Joe.
Journal of Magnetic Resonance Imaging, 2008 October 28:1033-1038 (Published online: Sep 26 2008)

16. Reproducibity study of whole-brain 1H spectroscopic imaging with automated quantification. Meng Gu, Dong-Hyun Kim, Dirk Mayer, Edith V. Sullivan, Adolf Pfefferbaum, Daniel M. Spielman.
Magnetic Resonance in Medicine. 2008 September 60:542-547. (Published online: Aug 25 2008 11:02AM)

15. Fast parallel spiral chemical shift imaging at 3 Tesla using iterative SENSE reconstruction. Mayer D, Kim DH, Spielman DM, Bammer R.
Magnetic Resonance in Medicine. 2008 April 59(4):891-897. (Published online: Mar 27 2008 12:13PM)

14. Diffusion-weighted imaging of the fetal brain in vivo. Kim DH, Chung S, Vigneron DB, Barkovich AJ, Glenn OA.
Magnetic Resonance in Medicine. 2008 January 59:216-220. (Published online: November 29 2007)
2007
13. Visualization of maturation of the corpus callosum during childhood and adolescence using T2 relaxometry.Kim EY, Kim DH, Yoo E, Park HJ, Golay X, Lee SK, Kim DJ, Kim J, Kim DI.
International Journals of Developmental Neuroscience. 2007 Oct;25:409-414.

12. Fast Multi-voxel Two-dimensional Spectroscopic Imaging at 3T. Kim DH, Henry R, Spielman DM.
Magnetic Resonance Imaging. 2007 Oct;25(8):1155-1161.

2006
11. Short echo time magnetic resonance spectroscopic imaging of the neonatal pediatric imaging.Kim DH, Barkovich AJ, Vigneron DB.
American Journal of Neuroradiology. 2006 June-July;27(6):1370-1372.

10. Reducing gradient imperfections for spiral magnetic resonance spectroscopic imaging. Kim DH, Spielman DM.
Magnetic Resonance in Medicine. 2006 July;56(1):198-203.

9. Fast CT-PRESS-based chemical shift imaging at 3 Tesla.Mayer D, Kim DH, Adalsteinsson E, Spielman D.
Magnetic Resonance in Medicine. 2006 May;55(5):974-978.
Prior to 2006
8. In vivo prostate magnetic resonance spectroscopic imaging using two-dimensional J-resolved PRESS at 3 T.Kim DH, Margolis D, Xing L, Daniel B, Spielman D.
Magnetic Resonance in Medicine. 2005 May;53(5):1177-82.

7. High-resolution diffusion-weighted imaging with interleaved variable-density spiral acquisitions. Li TQ, Kim DH, Moseley ME.
Journal of Magnetic Resonance Imaging. 2005 Apr;21(4):468-75.

6. Mapping of the prostate in endorectal coil-based MRI/MRSI and CT: A deformable registration and validation study.Lian J, Xing L, Hunjan S, Dumolin C, Levin J, Lo A, Watkins R, Rohling K, Giaquinto R, Kim DH, Spielman D, Daniel B
Medical Physics, 31(11): 3087-3094, 2004.

5. Self-navigated interleaved spiral (SNAILS): Application to high-resolution diffusion tensor imaging. Liu C, Bammer R, Kim DH, Moseley M.
Magnetic Resonance in Medicine, 52:1388-1396, 2004.

4. Spiral readout gradients for the reduction of motion artifacts in Chemical Shift Imaging. Kim DH, Adalsteinsson E, Spielman D.
Magnetic Resonance in Medicine, 51: 458-463, 2004.

3. Quality assurance of Magnetic Resonance Spectroscopic Imaging-derived metabolic data.Hunjan S, Adalsteinsson E, Kim DH, Harsh GR, Boyer AL, Spielman D, Xing L.
International Journals of Radiation.Oncology.Biology.Physics, 15; 57(4), 1159-1173, 2003.

2. Simple analytic variable density spiral design.Kim DH, Adalsteinsson E, Spielman D.
Magnetic Resonance in Medicine, 50: 214-219, 2003.

1. Regularized higher order in vivo shimming. Kim DH, Glover G, Adalsteinsson E, Spielman D.
Magnetic Resonance in Medicine, 48: 715-722, 2002

Domestic Journal

Publication

Domestic Journal

2021
High Resolution 3D Magnetic Resonance Fingerprinting with Hybrid Radial-Interleaved EPI Acquisition for Knee Cartilage T1, T2 Mapping. Dongyeob Han, Taehwa Hong, Yonghan Lee, Dong-Hyun Kim
Investigative Magnetic Resonance Imaging. 25:141-155. Sep. 2021. https://doi.org/10.13104/imri.2021.25.3.141
2020
Deep Learning in MR Motion Correction: a Brief Review and a New Motion Simulation Tool (view2Dmotion). Seul Lee, Soozy Jung, Kyu-Jin Jung, Dong-Hyun Kim
Investigative Magnetic Resonance Imaging. 24: 196-206. December, 2020. https://doi.org/10.13104/imri.2020.24.4.196
Application of Magnetic Resonance Thermometry (MRT) on Fully Developed Turbulent Pipe Flow using 3T and 7T MRI. Hyung Woo You, Seungchan Baek, Dong-Hyun Kim, Whal Lee, Sukhoon Oh, Wontae Hwang
Journal of the Korean Society of Visualization, Vol. 18, No. 1 (26¡­37), 2020. DOI:http://dx.doi.org/10.5407/jksv.2020.18.1.026
2019
½ÉÃþ½Å°æ¸ÁÀ» ÅëÇÑ ´ÙÁß ¿¡ÄÚ GRE ¿µ»óÀ¸·ÎºÎÅÍ ÀÎÁ¶µÈ FLAIR ¿µ»ó »ý¼º. ¹ÚÁö¿ë, ±èµ¿Çö.
ÀüÀÚ°øÇÐȸ³í¹®Áö 56(4), 2019.4, 93-100
2018
Susceptibility Weighted Imaging of the Cervical Spinal Cord with Compensation of Respiratory-induced Artifact. Hongpyo Lee, Yoonho Nam, Sung-Min Gho, Dongyeob Han, Eung Yeop Kim, Sheen-Woo Lee and Dong-Hyun Kim.
Investigative Magnetic Resonance Imaging. 2018
2017
Dual-Component Analysis for In Vivo T2* Decay of Hyperpolarized 13C Metabolites Eunhae Joe, Joonsung Lee, Hansol Lee, Seungwook Yang, Young-Suk Choi, Eunkyung Wang, Ho-Taek Song, Dong-Hyun Kim.
Investigative Magnetic Resonance Imaging. 21(1): 1-8. March, 2017
2016
Non-invasive in vivo Loss Tangent Imaging: Thermal Sensitivity Estimation at the Larmor Frequency Narae Choi, Min-Oh Kim, Jaewook Shin, Joonsung Lee, Dong-Hyun Kim.
Investigative Magnetic Resonance Imaging. 20(1): 36-43. March, 2016
Alternating Acquisition Technique for Quantification of in vitro Hyperpolarized [1-13C] Pyruvate Seungwook Yang, Joonsung Lee, Eunhae Joe, Hansol Lee, Ho-Taek Song, Dong-Hyun Kim.
Investigative Magnetic Resonance Imaging. 20(1): 53-60. March, 2016
2015
Determination of Optimal Scan Time for the Measurement of Downstream Metabolites in Hyperpolarized 13C MRSI Hansol Lee, Joonsung Lee, Eunhae Joe, Seungwook Yang, Young-suk Choi, Eunkyung Wang, Ho-Taek Song, Dong-Hyun Kim .
Investigative Magnetic Resonance Imaging, 19(4):212-217, December 2015
2014
Quantitative Conductivity Estimation Error due to Statistical Noise in Complex B1+ Map ½ÅÀç¿í, ÀÌÁؼº, ±è¹Î¿À, ÃÖ³ª·¡, ¼­Áø±Ù, ±èµ¿Çö
´ëÇÑÀÚ±â°ø¸íÀÇ°úÇÐȸÁö, 18(4):303-313. 2014
2012
Background correction using excitation pulse profile for fat and T2* Quantification in 2D Multi-Slice Liver Imaging ³²À±È£, ±èÇѼº, Á¶»ó¿µ, ±èµ¿Çö.
´ëÇÑÀÚ±â°ø¸íÀÇ°úÇÐȸÁö, 16(1):6-15.4¿ù 2012
2011
ÀÚ±â°ø¸í¿µ»óÀ» ÀÌ¿ëÇÑ ±Ý¼ÓÀü±ØÀÇ Á¤È®ÇÑ À§Ä¡ °áÁ¤ Á¶ÀºÇý, ±è¹Î¿À, ÇÏÀ±, ±èµ¿Çö.
´ëÇÑÀÚ±â°ø¸íÀÇ°úÇÐȸÁö, 15:, 4¿ù, 2011
2010
DIR ¿µ»óÀ» ÀÌ¿ëÇÑ ÇÇÁúµÎ²² ÃøÁ¤ : GRAPPAÀÎÀÚ 2¸¦ ÀÌ¿ëÇÑ ºñ±³ ÃÖ³ª·¡, ³²À±È£, ±èµ¿Çö.
´ëÇÑÀÚ±â°ø¸íÀÇ°úÇÐȸÁö, 14:56-63, 6¿ù, 2010
2009
ÆÞ½º¿­À» ÀÌ¿ëÇÑ MR¿µ»óÀÇ Compressed Sensing ¾Ë°í¸®Áò Àû¿ë °í¼º¹Î, ÃÖ³ª·¡, ±èµ¿Çö.
ÀüÀÚ°øÇÐȸ³í¹®Áö Signal Processing, 46:5:1-7, 9¿ù, 2009
2008
Á¡±¸ºÐ ºÐ±¤¼ú ¿©±â ¹æ½Ä°ú ³ª¼±Çü Æǵ¶°æ»ç¸¦ ÀÌ¿ëÇÑ »ïÂ÷¿ø È­È®Àû º¯À§ ¿µ»ó¹ýÀÇ °³¹ß ±èµ¿Çö.
´ëÇÑÀÚ±â°ø¸íÀÇ°úÇÐȸÁö, 12(1) : 27-32, 6¿ù, 2008
2007
Magnetic Resonance Elastography (ÀÚ±â°ø¸íź¼º¹ý) ±èµ¿Çö.¾çÀç¿ø, ±è¸íÁø.
Á¾¼³³í¹® ´ëÇÑÀÚ±â°ø¸íÀÇ°úÇÐȸÁö 11:10-19, 12¿ù, 2007.

Patents

Publication

Patents (ÇØ¿ÜÃâ¿ø)

01. Kim DH, Spielman DM, Glover GH, Adalsteinsson E. High order shimming of MRI magnetic fields using regularization, US patent 6,529,002. 2003 02. ±èµ¿Çö, È«Á¾ÀÏ, ÇÑ°ÇÈñ, ±èÅ¿í, ÃÖÇåÁø, ¹Ú½ÂÇÑ, Ç¥¼º·Ä, ¹è¼öÈ£, Á¤ÇÑ. Neural device having via hole connection and using at least one nano-wire, PCT/KR2010/006903, Oct 8, 2010. ¹Ì±¹ Ãâ¿ø 13/055,670, 2011-01-24 03. Dong-Hyun Kim, Min-Oh Kim, Sang-Young Zho. APPARATUS AND METHOD FOR RECONSTRUCTING 3D IMAGE BY USING MAGNETIC RESONANCE IMAGING, ¹Ì±¹ Ãâ¿ø 13/458,659, 2012-04-27 04. Dong-Hyun Kim, Narae Choi, Sungmin Gho, Minoh Kim, Joonsung Lee. APPARATUS AND METHOD FOR CONDUCTIVITY AND SUSCEPTIBILITY RECONSTRUCTION. ¹Ì±¹ Ãâ¿ø 13/886,990, 2013-05-03 05. Dong-Hyun Kim, Minoh Kim, Yoonho Nam, Joonsung Lee, Eunhae Cho. METHOD AND APPARATUS FOR OBTAINING A MAGNETIC RESONANCE SPECTRUM OF A VOXEL IN A MAGNETIC RESONANCE IMAGE. ¹Ì±¹Ãâ¿ø 13/927,427, 2013-06-26. (Áß±¹ Ãâ¿ø: 2014-02-20, 201410057498.5) (EPO Ãâ¿ø: 2013-11-04, 13191445.9) 06. Dong-Hyun Kim, Joon-Sung Lee, Na-rae Choi, KIM Min-Oh. METHOD AND APPARATUS FOR OBTAINING MAIN MEGNETIC FIELD INFORMATION AND RADIO PULSE RELATED INFORMATION IN MAGNETIC RESONANCE SYSTEM WITH DIFFERENT FLIP ANGLES. ¹Ì±¹Ãâ¿ø, 13/943,032, 2013-0716. 07. Dosik Hwang, Jinseong Jang, Donghyun Kim, Min Oh Kim, Narae Choi, Dongyeob Han. MAGNETIC RESONANCE IMAGING APPARATUS AND METHOD FOR OPERATING THE SAME. ¹Ì±¹Ãâ¿ø 14/538,163. 2014-11-11 08. Dosik Hwang, Jinseong Jang, Donghyun Kim, Min Oh Kim, Narae Choi, Dongyeob Han. MAGNETIC RESONANCE IMAGING APPARATUS AND METHOD FOR OPERATING THE SAME. ¹Ì±¹Ãâ¿ø 14/538,217. 2014-11-11 09. Ho-Taek Song, Young-suk Choi, Donghyun Kim, Hansol Lee, Joonsung Lee, Eunhae Joe, Seungwook Yang. Method for predicting prognosis of cancer patient using 13C-magnetic resonance spectroscopy imaging. PCTÃâ¿ø PCT/KR2015/004902. 2015-05-15 10. Lae-hoon Kang, Dong-Hyun Kim, KIM Min-Oh, Dong-yeob Han, Do-Sik Hwang, Yong-sup Park, Jong-buhm Park, Jae-sung Lee. Method and apparatus for quantifying properties of an object through magnetic resonance imaging (mri). Application number: 14/938,123, 2015-11-11

Patents (Çؿܵî·Ï)

01. Donghyun Kim, Jongill Hong, Gunhee Han, Taewook Kim, Heonjin Choi, Seunghan Park, Seongyeol Pyo, Sooho Bae, Han Chung.
Neural device having via hole connection and using at least one nano-wire, PCT/KR2010/006903, Oct 8, 2010.
¹Ì±¹ Ãâ¿ø 13/055,670, 2011-01-24
¹Ì±¹µî·Ï: 8,504,148, 2013-08-06
02. Dong-Hyun Kim, Min-Oh Kim, Sang-Young Zho.
APPARATUS AND METHOD FOR RECONSTRUCTING 3D IMAGE BY USING MAGNETIC RESONANCE IMAGING.
¹Ì±¹ Ãâ¿ø 13/458,659, 2012-04-27
¹Ì±¹µî·Ï 9,116,217, 2015-08-25
03. Dong-Hyun Kim, Joon-Sung Lee, Na-rae Choi, KIM Min-Oh.
METHOD AND APPARATUS FOR OBTAINING MAIN MEGNETIC FIELD INFORMATION AND RADIO PULSE RELATED INFORMATION IN MAGNETIC RESONANCE SYSTEM WITH DIFFERENT FLIP ANGLES.
¹Ì±¹Ãâ¿ø, 13/943,032, 2013-0716.
¹Ì±¹µî·Ï 9,500,733, 2016-11-22
04. Kang Lae-hoon, Kim Dong-hyun, Kim Min-oh, Han Dong-yeob, Hwang Do-sik, Park Yong-sup, Park Jong-buhm, Lee Jae-sung.
Method and apparatus for quantifying properties of an object through magnetic resonance imaging (MRI).
¹Ì±¹Ãâ¿ø, 14/938,123, 2015-11-11.
¹Ì±¹µî·Ï 10,168,405, 2019-1-1

Patents (±¹³»Ãâ¿ø)

01. ÀÚ±â°ø¸íź¼º¹ýÀ» À§ÇÑ Çǵå¹é ±â´ÉÀ» °¡Áø À¯Ã¼¿¡ ÀÇÇÑ ±¸µ¿ÀåÄ¡
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22. Àڱ⠰ø¸í ¿µ»óÀ» ÅëÇØ ´ë»óüÀÇ ¼Ó¼ºÀ» Á¤·®È­Çϱâ À§ÇÑ ¹æ¹ý ¹× ÀåÄ¡
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Ãâ¿ø¹øÈ£: 10-2015-0140613, Ãâ¿øÀÏÀÚ: 2015.10.06
23. Àڱ⠰ø¸í ½ÅÈ£·ÎºÎÅÍ Àü±â Àüµµµµ¸¦ ȹµæÇÏ´Â ¹æ¹ý ¹× ÀåÄ¡
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Ãâ¿ø¹øÈ£: 10-2017-0035237, Ãâ¿øÀÏÀÚ: 2017.03.21
24. ÀÚ±â°ø¸í¿µ»ó ¼öÃÊÈ­ Áöµµ ȹµæ ¹æ¹ý ¹× ½Ã½ºÅÛ
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Ãâ¿ø¹øÈ£: 10-2018-0155502, Ãâ¿øÀÏÀÚ: 2018.12.05
25. ÀÚ±â°ø¸í¿µ»ó ¼öÃÊÈ­ Áöµµ¸¦ »ç¿ëÇÑ ÀçÈ°Ä¡·á Æò°¡¹æ¹ý
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Ãâ¿ø¹øÈ£: 10-2019-0177444, Ãâ¿øÀÏÀÚ: 2019.12.30
26. ÀÚ±â°ø¸í¿µ»óÀ» ÀÌ¿ëÇÑ ´ë³ú ¹Ì¼¼ÃâÇ÷ ŽÁö ÀåÄ¡ ¹× ¹æ¹ý
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Ãâ¿ø¹øÈ£: 10-2021-0037561, Ãâ¿øÀÏÀÚ: 2021.03.23
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Ãâ¿ø¹øÈ£: 10-2021-0165765, Ãâ¿øÀÏÀÚ: 2021.11.26

Patents (±¹³»µî·Ï)

01. Àڱ⠰ø¸í ź¼º ±â¹ýÀ» À§ÇÑ ±¸µ¿ÀåÄ¡. ±èµ¿Çö,Á¶¿õÈñ,±è±ÔÇö,±èÇѼº,Á¶»ó¿µ,±è¸íÁø, ƯÇãÁ¦ 10-0894307È£, µî·ÏÀÏ: 2009-4-14 02. ÀÚ±â°ø¸í¿µ»ó¿¡¼­ È£Èí¿¡ ÀÇÇÑ µ¿Àû ÀÚÀå º¯µ¿ÀÇ ½Ç½Ã°£ °¨Áö ¹× º¸Á¤ ¹æ½Ä. ±èµ¿Çö, ±èÇѼº,±è¹Î¿À,¾ç½Â¿í. ƯÇãÁ¦ 10-1072421È£, µî·ÏÀÏ: 2011-10-05/ 03. MRI¿ë ±Íµ¤°³. ±èµ¿Çö, ±èÇѼº, ±è¹Î¿À, ¾ç¼¼Á¤, ¾ç½Â¿í, Á¶¿õÈñ. ƯÇãÁ¦ 10-1118547, µî·ÏÀÏ: 2012-02-14 (°ü·ÃÃâ¿ø: 2009-0074727) 04. µÎ°³¾È¸é ¸ðµ¨¸µ ÀåÄ¡¿Í ±× ¹æ¹ý ¹× µÎ°³¾È¸é ¼ºÇü ½Ã¹Ä·¹ÀÌ¼Ç ÀåÄ¡. ±èµ¿Çö, ÀÌ»óÀ±, ÃÖ³ª·¡, ȲÁø±Ô. ƯÇãÁ¦ 10-1146796, µî·ÏÀÏ: 2012-05-09 (°ü·ÃÃâ¿ø: 2010-0112470) 05. °üÅë ºñ¾ÆȦ ¿¬°áÀ» Æ÷ÇÔÇÏ°í Àû¾îµµ ÇϳªÀÇ ³ª³ë¿ÍÀ̾ ÀÌ¿ëÇÏ´Â ½Å°æ¼ÒÀÚ. ±èµ¿Çö (30%), È«Á¾ÀÏ, ÇÑ°ÇÈñ, ±èÅ¿í, ÃÖÇåÁø, ¹Ú½ÂÇÑ, Ç¥¼º¿­, ¹è¼öÈ£, Á¤ÇÑ. ƯÇãÁ¦ 10-1168939, µî·ÏÀÏ: 2012-07-20 (°ü·Ã Ãâ¿ø¹øÈ£: 2010-0044044. Ãâ¿øÀÏÀÚ:2010-05-11). 06. ÀÚ±â°ø¸í¿µ»óÀ» ÀÌ¿ëÇÑ »ïÂ÷¿ø ¿µ»ó º¹¿øÀåÄ¡ ¹× ¹æ¹ý. ±èµ¿Çö, ±è¹Î¿À, Á¶»ó¿µ. ƯÇãÁ¦ 10-1253024, µî·ÏÀÏ: 2013-04-03 (°ü·Ã Ãâ¿ø¹øÈ£: 2011-0043029, Ãâ¿øÀÏÀÚ: 2011-05-06). 07. ÀÚ±â°ø¸í¿µ»óÀ» ºÐ¼®ÇÏ´Â ¹æ¹ý, ÀåÄ¡ ±×¸®°í ÀÚ±â°ø¸í¿µ»óÀ» ºÐ¼®Çϱâ À§ÇÑ ÇÁ·Î±×·¥ÀÌ ±â·ÏµÈ ±â·Ï¸Åü. ±èµ¿Çö, ¹ÚÀç¼®, ±èÀÀ¿±, ¾ç½Â¿í. ƯÇãÁ¦ 10-1284388, µî·ÏÀÏ: 2013-07-03 (°ü·Ã Ãâ¿ø¹øÈ£: 2011-0109808, Ãâ¿øÀÏÀÚ: 2011-10-26). 08. µµÀüÀ² ¹× ÀÚÈ­À² º¹¿ø ÀåÄ¡ ¹× ¹æ¹ý°ú ÀÌ¿¡ °üÇÑ ±â·Ï¸Åü. ±èµ¿Çö, ÃÖ³ª·¡, °í¼º¹Î, ±è¹Î¿À, ÀÌÁؼº. ƯÇãÁ¦ 10-1359134, µî·ÏÀÏ: 2014-01-28 (°ü·ÃÃâ¿ø¹øÈ£: 2012-0157394, Ãâ¿øÀÏÀÚ: 2012-12-28) 09. ÀÚ±â°ø¸í¿µ»ó ȹµæ ÀåÄ¡ ¹× ¹æ¹ý. ±èµ¿Çö, ³²À±È£, Çѵ¿¿±. ƯÇãÁ¦ 10-1418170, µî·ÏÀÏ: 2014-07-03 (°ü·ÃÃâ¿ø¹øÈ£: 2012-0137104, Ãâ¿øÀÏÀÚ: 2012.11.29) 10. Àڱ⠰ø¸í ¿µ»ó¿¡¼­ ÁöÁú¿¡ ÀÇÇÑ ¿Ö°îÀ» Á¦°ÅÇϱâ À§ÇÑ ¹æ¹ý ¹× ÀåÄ¡. ±èµ¿Çö, ÀÌÁؼº, ±è¹Î¿À, ³²À±È£, Á¶ÀºÇý. ƯÇãÁ¦ 10-1351584, µî·ÏÀÏ: 2014-01-08 (°ü·ÃÃâ¿ø¹øÈ£: 2012-0107489, Ãâ¿øÀÏÀÚ: 2012-09-26) 11. »óÀÌÇÑ ¼÷ÀÓ°¢À» °®´Â Àڱ⠰ø¸í ¿µ»ó ½Ã½ºÅÛ¿¡¼­ ÁÖÀÚÀå Á¤º¸ ¹× ¶óµð¿À ÆÞ½º °ü·Ã Á¤º¸¸¦ ȹµæÇϱâ À§ÇÑ ¹æ¹ý ¹× ÀåÄ¡. ±èµ¿Çö, ÀÌÁؼº, ÃÖ³ª·¡, ±è¹Î¿À. ƯÇãÁ¦ 10-1458557, µî·ÏÀÏ: 2014-10-30. (°ü·ÃÃâ¿ø¹øÈ£: 2013-0018238, Ãâ¿øÀÏÀÚ: 2013-02-20) 12. Àڱ⠰ø¸í ¿µ»óÀÇ º¹¼¿¿¡ ´ëÇÑ MR ½ºÆåÆ®·³À» ȹµæÇÏ´Â ¹æ¹ý ¹× ÀåÄ¡. ±èµ¿Çö, ±è¹Î¿À, ³²À±È£, ÀÌÁؼº, Á¶ÀºÇý. ƯÇãÁ¦ 10-1471979, µî·ÏÀÏ: 2014-12-05. (°ü·Ã Ãâ¿ø¹øÈ£: 2013-0018237, Ãâ¿øÀÏÀÚ: 2013-02-20) 13. 13C-ÀÚ±â°ø¸íºÐ±¤¿µ»óÀ» ÀÌ¿ëÇÑ ¾Ï ȯÀÚÀÇ Ä¡·á ¿¹Èĸ¦ ¿¹ÃøÇÏ´Â ¹æ¹ý. ¼ÛÈ£Åà ÃÖ¿µ¼÷ ±èµ¿Çö ÀÌÇÑ¼Ö ÀÌÁؼº Á¶ÀºÇý ¾ç½Â¿í, ƯÇãÁ¦ 10-1516634, µî·ÏÀÏ:2015-4-24. (°ü·Ã Ãâ¿ø¹øÈ£: 10-2014-0086318, Ãâ¿øÀÏÀÚ: 2014.07.09) 14. Àڱ⠰ø¸í ¿µ»ó ÃÔ¿µ ÀåÄ¡ ¹× ¹æ¹ý. ±èµ¿Çö ¾ç½Â¿í ÀÌÁؼº Á¶ÀºÇý ÀÌÇÑ¼Ö ÃÖ¿µ¼÷ ¼ÛÈ£ÅÃ, ƯÇãÁ¦ 10-1535385, µî·ÏÀÏ:2015-07-02. (°ü·Ã Ãâ¿ø¹øÈ£: 10-2014-0073772, Ãâ¿øÀÏÀÚ: 2014.06.17) 15. Àڱ⠰ø¸í ¿µ»óÀÇ B1 ¸Ê »ý¼º ÀåÄ¡ ¹× ¹æ¹ý. ±èµ¿Çö, ±è¹Î¿À. ƯÇãÁ¦ 10-1623690, µî·ÏÀÏ: 2016-05-17. (°ü·Ã Ãâ¿ø¹øÈ£: Ãâ¿ø¹øÈ£: 10-2015-0090716, Ãâ¿øÀÏÀÚ: 2015.06.25) 16. Àڱ⠰ø¸í ½ÅÈ£·ÎºÎÅÍ Àü±â Àüµµµµ¸¦ ȹµæÇÏ´Â ¹æ¹ý ¹× ÀåÄ¡. ±èµ¿Çö, ½ÅÀç¿í. ƯÇãÁ¦ 10-1883095, µî·ÏÀÏ: 2018-07-23. (°ü·Ã Ãâ¿ø¹øÈ£: 10-2017-0035237, Ãâ¿øÀÏÀÚ: 2017.03.21)