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교수개별소개

Profiles of Faculty

임상뇌과학연구부

Division of Clinical Neuroscience
손영돈 Young Don SON
소속 (Affiliation)
가천대 보건과학대학 의용생체공학과 (Dept. of Biomedical Engineering, Gachon Univ. College of Health Science)
직위 (Position)
부교수 (Associate Professor)
센터명 (Center)
임상뇌과학연구부 정신의학연구센터 (Division of Clinical Neuroscience at Research Center for Psychiatry & Behavioral Sciences)
실험실 (Lab)
멀티모달의료영상 연구실 (Multi-Modality Medical Imaging Lab)
연구실위치 (Location)
가천대학교 간호대학522-1호 ()
key words of Research
의료영상, 뇌과학, 인공지능 (medical imaging, neuroscience, AI)
  • 032-820-4416
  • ydson@gachon.ac.kr
학력 및 경력 (education & experience)

     

2008 Final School: PhD 미 캘리포니아 주립대(UCI) 생체의공학과 (Dept. of Biomedical Engineering, University of California at Irvine)
1999-2002  연구원, Brain Imaging Center, University of California at Irvine
2005-2014  책임연구원, 가천대학교 뇌과학연구원
2014-현재   부교수, 가천대학교

 

 

연구 소개 (Research in brief)

 

 

멀티모달의료영상연구실에서는 영상 및 신호처리에 기반하여 다양한 영상정보를 융합한 다각도의 정보를 통한 진단의 정확도를 높이는 첨단 의료영상진단기술을 개발하는 연구를 수행하고 있다. 이를 이용한 치매, 파킨슨병, 정신분열병, 뇌전증 등 다양한 임상 분야와 연계한 다각적인 융합연구를 추구하고 있다. 특히, 인공지능을 이용한 영상 분석 및 데이터 분석에 대한 연구를 중점적으로 수행하고 있다. 최근에는 로봇비전의 기술 등을 개발하여 의료에 필요한 서비스 로봇 개발에 대한 연구도 수행하고 있다.

 

My Lab (Multi-Modality Medical Imaging Lab) conducts research on developing advanced medical imaging diagnostic technology that increases the accuracy of diagnosis through various image information based on image and signal processing. In particular, we are conducting the research with linking to various clinical diseases such as dementia, Parkinson's disease, schizophrenia, and epilepsy.. Especially, we are applying artificial intelligence to the medical image processing field. In addition, we are recently developing a robot vision technology for medical use.


 

키워드(Key W of Research Field)

 

 

의료영상, 뇌과학, 인공지능

(medical imaging, neuroscience, AI)


 


 Recent Publication (2013 – Present)

 

1. Development of Positron Emission Tomography With Wobbling and Zooming for High Sensitivity and High-Resolution Molecular Imaging. IEEE Trans Med Imaging. (2019)  38(12)::2875-2882.
2. Neural Signature for Auditory Hallucinations in Schizophrenia: A High-Resolution Positron Emission Tomography Study with Fludeoxyglucose. Clin Psychopharmacol Neurosci. (2018) 16(3):324-332.
3. Low white-matter integrity between the left thalamus and inferior frontal gyrus in patients with insomnia disorder. J Psychiatry Neurosci. (2018) 43(4):170195.
4. fMRI brain activation in patients with insomnia disorder during a working memory task. Sleep Breath. (2018) 22(2):487-493.
5. The relationship between excitement symptom severity and extrastriatal dopamine D-2/3 receptor availability in patients with schizophrenia: a high-resolution PET study with [F-18]fallypride. EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE. (2018) 6:529-540.
6. Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting. IEEE Trans Med Imaging. (2018) 37(6):1478-1487.
7. Resting-state functional connectivity of the amygdala in suicide attempters with major depressive disorder. Prog Neuropsychopharmacol Biol Psychiatry. (2017) 77:222-227.
8. A functional connectivity comparison between attention deficit hyperactivity disorder and bipolar disorder in medication-naïve adolescents with mood fluctuation and attention problems. Psychiatry Res Neuroimaging. (2017) 263:1-7.
9. Altered interregional correlations between serotonin transporter availability and cerebral glucose metabolism in schizophrenia: A high-resolution PET study using [11C]DASB and [18F]FDG. Schizophr Res. (2017) 182:55-65.
10. Wobbling and LSF-based maximum likelihood expectation maximization reconstruction for wobbling PET. RADIATION PHYSICS AND CHEMISTRY. (2016) 121:1-9.