메뉴 바로가기
주메뉴 바로가기
컨텐츠 바로가기

연구

Research

임상뇌과학연구부

Division of Clinical Neuroscience
김응엽 Eung Yeop KIM
소속 (Affiliation)
가천대 의과대학 영상의학과 (Dept. of Radiology, Gachon Univ. College of Medicine)
직위 (Position)
교수 (Professor)
센터명 (Center)
임상뇌과학연구부 치매파킨슨연구센터 (Research Center for Dementia & Parkinson Disease at Division of Clinical Neuroscience)
실험실 (Lab)
()
연구실위치 (Location)
가천대 의과대학 8층 808호 ()
key words of Research
파킨슨병 영상 (Imaging of Movement Disorders)
  • 032-458-2755
  • neurorad@gachon.ac.kr, neurorad@gilhospital.com
학력 및 경력 (education & experience)

     

Final School: MD, PhD 한양대학교 의과대학 영상의학과 (Dept. of Radiology, Hanyang Univ. College of Medicine)
1996~2000 영상의학과 전공의, 삼성서울병원
2003~2005 영상의학과 전임의, 삼성서울병원
2005~2010 영상의학과 조교수, 세브란스병원
2010~2012 영상의학과 부교수, 세브란스병원
2013~2017 영상의학과 부교수, 가천대학교 의과대학
2017~현재 영상의학과 교수, 가천대학교 의과대학

 

 

연구 소개 (Research in brief)

 

최근 고령화 사회로 진입하면서 인지기능 장애 등 퇴행성 뇌질환 환자군이 증가하고 있다. 조기 진단 및 치료가 병의 진행을 늦출 수 있는 대책이지만, 아직까지 유용한 영상 진단 기술이 부족한 현실이다. 영상 진단 기술 중 MRI는 비침습적이며 방사선 노출로 인한 위험이 없으므로, 보다 정확한 진단기술 개발에 적합하다. 최근 영상 기술의 개발 및 인공 지능 알고리듬의 발전으로 이를 이용한 진단기술 연구를 수행 중이다.

 

With the entry into an aging society, the number of patients with degenerative brain diseases such as cognitive impairment is increasing. However, although early diagnosis and treatment may slow the progress of the diseases, there is still a lack of useful imaging technology for this purpose. MRI seems to be the most suitable for developing an accurate diagnostic technique among other imaging diagnostic techniques since it is non-invasive and has no risk of radiation exposure. Now, I am conducting the research on diagnostic technology using MRI with help of recent developments in imaging technology and artificial intelligence algorithms.


 

키워드(Key W of Research Field)

 

 

파킨슨병 영상

(Imaging of Movement Disorders)


 


 Recent Publication (2013 – Present)

 

1. Kim EY (correspondence)
Do the magic angle effects or susceptibility effects affect the visualization of nigrosome 1?
AJNR Am J Neuroradiol 2020 in press
2. Asaduddin M, Do W-J, Kim EY, Park S-H (Co-correspondence)
Mapping cerebral perfusion from time-resolved contrast-enhance MR angiographic data
Magn Reson Imaging 2019;61:143-148
3. Sung YH, Kim EY (correspondence)
Is high-spatial-resolution diffusion MRI applicable for the diagnosis of Parkinson’s disease?
Radiology 2019;292(1):267-268
4. Roh HG, Kim EY, Kim IS, Lee HJ, Park JJ, Lee SB, Choi JW, Jeon YS, Park M, Kim SU, Kim HJ
A novel collateral imaging method derived from time-resolved dynamic contrast-enhanced MR angiography in acute ischemic stroke: a pilot study. AJNR Am J Neuroradiol 2019;40:946-953
5. Kim EY, Sung YH, Lee J (correspondence) Nigrosome 1 imaging: Technical considerations and clinical applications. Br J Radiol 2019;92(1101):20180842
6. Kang M, Chung DH, Kim NR, Cho HY, Ha SY, Lee S, An J, Seok JY, Yie GT, Yoo CJ, Lee SG, Kim EY, Kim WK, Son S, Sym SJ, Shin DB, Hwang HY, Kim EY, Lee KC. Intraoperative frozen cytology of central nervous system neoplasms: an ancillary tool for frozen diagnosis. J Pathol Transl Med 2019;53(2):104-111
7. Sung YH, Lee J, Nam Y, Shin H-G, Noh Y, Hwang KH, Lee H, Kim EY (correspondence)
Initial diagnostic workup of Parkinsonism: Dopamine transporter positron emission tomography versus susceptibility map-weighted imaging at 3T ParkinsonismRelat Disord 2019;62(5):171-178 doi: 10.1016/j.parkreldis.2018.12.019
8. Yoon J, Gong E, Chatnuntawech I, Bilgic B, Lee J, Jung W, Ko J, Jung H, Setsompop, K, Zaharchuk G, Kim EY, Lee J. Quantitative susceptibility mapping using deep neural network: QSMnet. Neuroimage 2018;179:199-206
9. Kim H, Park S, Kim EY, Park J. Retrospective multi-phase non-contrast-enhanced magnetic resonance angiography (ROMANCE MRA) for robust angiogram separation in the presence of cardiac arrhythmia. Mag Reson Med 2018;80:976-989
10. Lee JY, Kwon HJ, Park SJ, Yoo C, Kim YY, Kim EY (correspondence). Signal alteration in the optic nerve head on 3D T2-weighted MRI: a potential neuroimaging sign of glaucomatous optic neuropathy. Curr Eye Res 2018;43(3):397-405
11. Kim EY, Sung YH, Shin H-G, Noh Y, Nam Y, Lee J. Diagnosis of early-stage idiopathic Parkinson’s disease using high-resolution quantitative susceptibility mapping with a histogram analysis in the substantia nigra at 3T. J Clin Neurol 2018;14(1):90-97
12. Sung YH, Lee J, Nam Y, Shin H-G, Noh Y, Shin DH, Kim EY (correspondence). Differential involvement of nigral subregions in idiopathic Parkinson’s disease.Hum Brain Mapp 2018;39(1):542-553
13. Shin DH, Kim EY (correspondence). Regarding “Perfusion MR Imaging using a 3D pulsed continuous arterial spin-labeling method for acute cerebral infarction classified as branch atheromatous disease involving the lenticulostriate artery territory”. AJNR Am J Neuroradiol 2017;38(12):E103
14. Shin DH, Kang MJ, Kim JW, Shin DJ, Park HM, Sung YH, Kim EY. The impact of discrepancy between measured versus stated weight on hemorrhagic transformation and clinical outcomes after intravenous alteplase thrombolysis. Cerebrovasc Dis 2017;44(5-6):241-247
15. Lee H, Kim EY, Sohn CH, Park J. Rapid whole-brain gray matter imaging using single-slab three-dimensional dual-echo fast spin echo: a feasibility study. Magn Reson Med 2017;78(5):1691-1699
16. Kim YH, Yie G-T, Kim NR, Jeon IS, Cho HY, Seok JY, Kim EY, Lee KC. Pediatric intracerebral histiocytic sarcoma with rhabdoid feature case report and literature review. Neuropathology 2017;37(6):560-568
17. Shin DH, Klotz E, Kim EY (correspondence). Single Subcortical Infarct: Pathomechanism Assessed by Thin-section Computed Tomography Perfusion. J Stroke Cerebrovasc Dis 2017;26(7):1440-1448
18. Heo JH, Kim K, Yoo J, Kim YD, Nam HS, Kim EY. Computed tomography-based thrombus imaging for the prediction of recanalization after reperfusion therapy in stroke. Journal of Stroke 2017;19(1):40-49
19. Nam Y, Gho S-M, Kim D-H, Kim EY, Lee J (co-correspondence). Imaging of Nigrosome 1 in Substantia Nigra at 3T Using Multiecho Susceptibility Map-weighted Imaging (SMWI). J Magn Reson Imaging 2017;46(2):528-536
20. Park S, Kim EY, Sohn C-H, Park J. Dynamic Contrast-enhanced MR angiography exploiting subspace projection for robust angiogram separation. IEEE Trans Med Imaging 2017;36(2): 584-595
21. Lee J, Nam YH, Choi JY, Kim EY, Oh SH, Kim D. Mechanism of T2* Anisotropy and Gradient Echo Myelin Water Imaging. NMR Biomed 2017;30(4)
22. Kim EY, Shin DH, Noh Y, Goh BH, Lee Y-B (correspondence). Comparison of imaging selection criteria for intra-arterial thrombectomy in acute ischemic stroke with advanced CT. Eur Radiol 2016;26(9):2974-2981
23. Lee D, Jin KH, Kim EY, Park S-H, Ye JC. Acceleration of MR parameter mapping using annihilating filter-based low-rank Hankel matrix (ALOHA). Magn Reson Med 2016;76(6)1848-1864
24. Han PK, Ye JC, Kim EY, Choi SH, Park S-H. Whole-brain perfusion imaging with balanced steady-state free precession arterial spin labeling. NMR in Biomedicine 2016;29(3):264-274
25. Sung YH, Noh Y, Lee J, Kim EY (correspondence). Drug-induced Parkinsonism versus Idiopathic Parkinson’s Disease: Utility of Nigrosome 1 Imaging at 3T. Radiology 2016;279(3):849-858
26. Heo JH, Song D, Nam HS, Kim EY, Kim YD, Lee KY, Lee KJ, Yoo J, Kim YN, Lee BC, Yoon BW, Kim JS; EUREKA Investigators. Effect and safety of rosuvastatin in acute ischemic stroke. J Stroke 2016;18(1):87-95
27. Kim YD, Nam HS, Kim SH, Kim EY, Song D, Kwon I, Yang S-H, Lee K, Yoo J, Lee HS, Heo JH
Time-dependent Thrombus Resolution after Tissue-type plasminogen activator in Stroke Patients and Mice. Stroke 2015;46(7):1877-1882
28. Noh Y, Sung YH, Lee J, Kim EY (correspondence) (Cover page). Nigrosome 1 Imaging at 3T MRI for the Diagnosis of Early-stage Idiopathic Parkinson’s Disease: Assessment of Diagnostic Accuracy and Agreement on Imaging Asymmetry and Clinical Laterality. AJNR Am J Neuroradiol 2015;36(11):2010-2016
29. Na DG, Sohn C-H, Kim EY (correspondence). Imaging-based management of acute ischemic stroke patients: current neuroradiological perspectives. Korean J Radiol 2015;16(2):372-390