Biomedical Imaging Physics and Instrumentation Laboratory
Research Field
Jyh-Cheng Chen received the BS degree in physics from National Central University, Taiwan, in 1983, and the MS degree in physics and PhD degree in optical sciences from the University of Arizona, USA in 1988 and 1995, respectively. In 1995, he joined the Opto-Electronics and System Laboratories, Industrial Technology Research Institute, Taiwan, as a research associate working on semiconductor laser packaging. In 1996, he became a member of the faculty of Division of Radiological Science and Technology, Department of Medical Technology, National Yang-Ming University (NYMU), Taiwan. In 1998, he became an associate professor of Institute of Radiological Sciences, NYMU, Taiwan. Since 2005, he has been a professor in the Department of Biomedical Imaging and Radiological Sciences (BIRS), NYMU, Taiwan, teaching and pursuing his research in areas of molecular imaging physics and instrumentation. During 2012-2015, He had been the Chairman of the Department of BIRS, NYMU, Taiwan. Since 2017, he has been a distinguished professor of Department of BIRS, NYMU. His research interests include image processing, analysis, reconstruction, radiomics, AI. He is using microPET/SPECT/CT to do image reconstruction, processing, and analysis for animal molecular imaging studies. He has also designed homemade microCT, FMT/CT, XLCT, and PET/CT animal imaging systems. He has published over 100 peer-reviewed journal papers, a number of book chapters and owns several patents. He received NYMU Teacher’s Academic Excellence Award, and a few other research awards including Taiwan Innovation Award in 2019 & 2023. He is a member of IEEE, SNMMI, and FASMI. He serves on the editorial board of International Journal of Biomedical Imaging, guest editors of special issues in Computerized Medical Imaging and Graphic and Electronics and reviewer for more than 15 SCI journals. He has served in the program committees of several international conferences. He served as the editor-in-chief of ANMMI.
Our lab has been conducting the research on the AI image processing/analysis, optimization techniques, and the algorithms for cone-beam CT (CBCT) reconstruction. In addition, we also do software development, hardware design, and incorporate our research work into commercialized CBCT systems.
For easy access to our research, some of our work (e.g. AI model training for fast CT imaging) will be deployed as web service in the future.
Tumor Detection In Clinical Applications
Prototyping of the Biomedical Imaging Systems
Objective Image Quality Assessment
Image Processing and Analysis
Preclinical Molecular Imaging
Advanced Image analysis and Radiomics
AI Based Algorithm Development
TAF-3871 Approved Laboratory
Certificates of the National Innovation Award, 2019 and 2023.
National Yang-Ming University’s teacher’s academic excellence award, 2007-2023.
Best paper award at 2010 International Workshop on Image Analysis, Aug. 2010, France
Listed in “Who’s Who in the World, 23rd Edition and 24th Edition”, A Marquis who’s who Publication, 2006, p 435 and 2007, USA
First place in Scientific Exhibits, “A Stationary 3D SPECT Brain Imaging System,” at the Society of Nuclear Medicine Annual Meeting, June 1991.
He received the BS degree in physics from National Central University, Taiwan, in 1983, and the MS degree in physics and PhD degree in optical sciences from the University of Arizona, USA in 1988 and 1995, respectively.
2 Vacancies
Job Description
We are looking for a passionate and driven student to join our team as an intern, focusing on combining PET and MRI data to improve imaging precision and quality. You will have the opportunity to collaborate with seasoned researchers in developing innovative approaches that combine both imaging modalities for enhanced reconstruction and analysis.
Responsibilities:
- Aid in the design and development of deep learning models.
- Perform preclinical real experiments in PET/MRI scanner.
- Create datasets in the GATE simulation.
- Calculate quantitative values in the images.
- Actively participate in discussions and meetings.
Preferred Intern Education Level
Undergraduate students, Master's students, and Ph.D. students
Skill sets or Qualities
The ideal candidate should have a background in one or more of the following fields: Deep learning techniques, programming (e.g., Python, MATLAB), Medical Imaging, Medical Devices, Nuclear Medicine, and Molecular imaging.