M-CERSI Lecture: Performance Test Methods for Near-infrared Fluorescence Imaging

Wednesday, March 7, 2018
3:00 p.m.-4:00 p.m.
Ann Anonsen
301 405 0285

Performance Test Methods for Near-infrared Fluorescence Imaging


You are invited to attend the March lecture of FDA’s 2018 CERSI Lecture Series (link is external) on Wednesday, March 7, 2018, at 3:00 – 4:00 pm EST via webinar. University of Maryland CERSI is the host and their guest speaker is Dr. Yu Chen, Associate Professor in the Fischell Department of Bioengineering who will present on: "Performance Test Methods for Near-onfrared Fluorescence Imaging.”  Additional information is provided below




Remote Access Information


Remote Access link for the lecture is at: https://collaboration.fda.gov/cersiconferences (link is external)


FOR QUESTIONS:  Contact Amal Manseur at Amal.Manseur@fda.hhs.gov


Lecture Abstract

Near-infrared fluorescence (NIRF) imaging using exogenous contrast agents such as indocyanine green has gained much attention as a tool for enhancing visualization of vasculature and other biological structures during surgical procedures.  Innovative molecular imaging techniques based on NIRF imaging are also in the clinical translation pipeline.  In order to address the emerging need for standardization of these technologies, it is necessary to develop and validate test methods suitable for objective, quantitative assessment of device performance. Towards this goal, we identify a cohesive battery of image quality characteristics that are consistent with prior medical imaging standards and describe best practices for phantom design, measurement, and calculation of specific performance metrics.  Using an NIRF imaging system providing excitation at 780 nm and detection above 830 nm, we implement these methods to evaluate spatial resolution, depth of field, sensitivity, linearity, uniformity, field of view, and spectral crosstalk.  These measurements are performed using fluorophore-doped multi-well plate and high turbidity planar phantoms, as well as a USAF 1951 resolution target.  Finally, we discuss the utility of objective, quantitative, target-based testing approaches as well as how NIRF imaging standards can be formulated to accommodate a diversity of device-agent combination products.




Dr. Yu Chen received his BS in Physics from Peking University in 1997 and his PhD in Bioengineering from the University of Pennsylvania in 2003. From 2003-2007, he pursued his postdoctoral training at MIT. He became an Assistant Professor of the Fischell Department of Bioengineering at the University of Maryland in College Park in 2007 and became an Associate Professor since 2014. He served as the Associate Chair and Director of Graduate Program in 2016. He has mentored 8 PhD students and 7 postdoctoral fellows. He received Teaching Excellence Award from the Fischell Department of Bioengineering of the University of Maryland in 2011, and the National Science Foundation (NSF) CAREER Award in 2012. Dr. Chen has published 1 book, 16 book chapters, and 86 peer-reviewed journal publications. He has been an associate editor of Medical Physics, a guest editor of IEEE Journal of Selected Topics on Quantum Electronics, Journal of Innovative Optical Health Sciences, Neurophotonics, and an Editorial Board member of Scientific Reports. He is a member of IEEE, SPIE, and the Optical Society of America (OSA). He has served as conference program co-chair and general co-chair for OSA Conference on Lasers and Electro-Optics (CLEO): Applications and Technologies, and scientific committee co-chair of Annual World Congress of the Society of Brain Mapping and Therapeutics (SBMT).


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