￭ 학력 및 경력 

2007 공학박사(전기 및 전자공학과), 한국과학기술원

2006-2012 선임연구원, 가천대학교 뇌과학연구원

2012-2013 조교수, 을지대학교

2013-현재 부교수, 교수, 가천대학교

￭ 소개

뇌영상센터에서는 in-vivo MRI 분야에 적용하는 기술 개발을 목표로 다양한 연구를 수행하고 있다.

특히 우리 영상센터는 뇌신경 과학의 기초과학 분야와 임상 연구분야에 고루 통용될 수 있는 기술 개발을 목표로 하고 있으며, 이를 위해 가천대학교와 길병원의 기초연구 및 임상전문가들로부터 직접적인feedback을 받아 이를 연구에 적극적으로 반영하고 있다.

연구, 진단 및 치료에 사용하기 위한 최종적인 프로토콜 개발을 위해 우리 연구센터에서는MRI의 기초적인 하드웨어, MR sequence 및 methodology, MR 영상 재구성 기법, 영상 후 처리 및 분석 기법 개발 등을 모두 아우르는 연구분야에 대한 연구를 수행하고 있으며 이 과정에서 기초적인 알고리즘의 개발과 테스트,이후 최적화 단계 및 임상응용에 이르기까지 개발의 전 과정에서 포괄적인 연구를 수행하고 있다.

￭ 키워드

MRI, 신경과학, 난치성 뇌질환, 뉴로이미징, 영상처리, 영상분석 

￭ 최근연구업적(2020-현재) 

1.Taewoo Nam, EunwooLee, Daniel Hernandez, Sung Suk Oh, YoungSeungJo, Jun-Young Chung*, Kyoung-Nam Kim*, “Development of triple-tunable radio frequency coil using geometrical overlap configuration of birdcage coil”, AIP Advances, 15:105222, 2025.

2.Daniel Hernandez, Taewoo Nam, Eunwoo Lee, Yeji Han, Yeunchul Ryu, Jun-Young Chung*, Kyoung-Nam Kim*, “Simulation Design of an Elliptical Loop-Microstrip Array for Brain Lobe Imaging with an 11.74 Tesla MRI System”, Sensors (Basel), 25:4021, 2025.

3.S Pittaluga, O Dormicchi, L Mauro, G Pizzigoni, D Ventura, Young Seung Jo, Jun-Young Chung*, Woo-Kyung Kim*, “Commissioning and operation of 11.74T human MRI magnet for Gachon university gil medical center, South Korea”, Superconductor 4.Science and Technology, 38:3:035004, 2025

Changheun Oh, Jun-Young Chung*, Yeji Han*, “Domain transformation learning for MR image reconstruction from dual domain input”, Computers in Biology and Medicine, Mar:170:108098, 2024.

5.Seon Yeong Shin, Yeji Han*, Jun-Young Chung*, “A 2D-GRAPPA Algorithm with a Boomerang Kernel for 3D MRI Data Accelerated along Two Phase-Encoding Directions”, Sensors (Basel), 23(1):93, 2023.

6.Sang-Han Choi, Yeunchul Ryu*, Jun-Young Chung*, “Baseline Correction of the Human 1H MRS(I) Spectrum Using T2* Selective Differential Operators in the Frequency Domain”, Metabolites (Basel), 12(12):1257, 2022.

7.Jeung-Hoon Seo, Young-Seung Jo, Chang-Hyun Oh*, Jun-Young Chung*, “A New Combination of Radio-Frequency Coil Configurations Using High-Permittivity Materials and Inductively Coupled Structures for Ultrahigh-Field Magnetic Resonance Imaging”, Sensors (Basel), 22(22):8968, 2022.

8.Changheun Oh, Jun-Young Chung*, Yeji Han*, An end-to-end recurrent neural network for radial MR image reconstruction”, Sensors (Basel), 22(19):7277, 2022.

9.Jeung-Hoon Seo, Yeunchul Ryu*, Jun-Young Chung*, “Simulation Study of Radio Frequency Safety and the Optimal Size of a Single-Channel Surface Radio Frequency Coil for Mice at 9.4 T Magnetic Resonance Imaging”, Sensors (Basel), 22(11):4274, 2022.

10.Jeung-Hoon Seo, Yeji Han*, Jun-Young Chung*, “A Comparative Study of Birdcage RF Coil Configurations for Ultra-High Field Magnetic Resonance Imaging”, Sensors (Basel), 22(5):1741, 2022.

11.Jeung-Hoon Seo, Jun-Young Chung*, “A Preliminary Study for Reference RF Coil at 11.7 T MRI: Based on Electromagnetic Field Simulation of Hybrid-BC RF Coil According to Diameter and Length at 3.0, 7.0 and 11.7 T”, Sensors (Basel), 22(4):1512, 2022.

12.Junghyun Song, Dongchan Kim, Yeji Han, Jun-Young Chung*, “Comparative analysis of the kernel types in generalized autocalibrating partially parallel acquisition algorithms for accelerated three‐dimensional magnetic resonance spectroscopic imaging data”, Int J Imaging Syst Technol., 32(1):163–177, 2022.

13.Sang-Han Choi, Jun-Young Chung, Dae-Hun Kang, Kyoung-Min Lee, “New analysis method for functional brain imaging: White noise removed T2* variation mapping using multi-echo EPI”, J Neurosci. Methods, 15;359:109218, 2021.

14.Jun Yeon Won, Haewook Park, Seungeun Lee, Jeong-Whan Son, Yina Chung, Guen Bae Ko, Kyeong Yun Kim, Junghyun Song, Seongho Seo, Yeunchul Ryu, Jun-Young Chung, and Jae Sung Lee, “Development and Initial Results of a Brain PET Insert for Simultaneous 7-Tesla PET/MRI Using an FPGA-Only Signal Digitization Method”, IEEE TRANSACTIONS ON MEDICAL IMAGING, 40(6), 2021.

15.Sang-Young Kim, Junghyun Song, Jong-Hyun Yoon, Kyoung-Nam Kim, Jun-Young Chung*, Young Noh*, “Voxel-wise partial volume correction method for accurate estimation of tissue sodium concentration in 23 Na-MRI at 7T”, NMR Biomed., 34(2):e4448, 2021.

16.Changheun Oh, Dongchan Kim, Jun-Young Chung, Yeji Han, HyunWook Park, “A k-space-to-image reconstruction network for MRI using recurrent neural network”, Med Phys., 48(1):193-203, 2021.