报告题目：Research Activities in Biomedical Optics & in vivo Photodiagnosis at University of Lorraine
报告时间：3月14日下午15：00
报告地点：武汉光电国家实验室A302
主讲人：法国洛林大学Walter Blondel教授
邀请人：朱䒟教授
Abstract:
The talk will consist of a short presentation of the “Université de Lorraine” and of the research activities carried out in CRAN laboratory. Then, he will focuse on our Multi-modality optical spectro-imaging for in vivo tissue diagnosis field of interest through an overview of 3 main research projects in progress: (i) Fluorescence and White Light Panoramic Cystoscopy applied to bladder cancer detection, (ii) Multiple excitation AutoFluorescence & Diffuse Reflectance Spectroscopy applied to skin cancer margin delineation and (iii) Multimodality teledermatologic imaging applied to medical teleconsultation of skin chronic wounds. Finally, the opportunity of possible scientific collaboration should be discussed namely in the frame of the Chinese-French GDRI “Photonet”.
Biography:
Walter Blondel was born in Nancy (France) in 1968. He received the electrical engineering degree from the Ecole Supérieure d’Ingénieurs ESIGELEC in Rouen in 1991, the M.Sc. degree in optoelectronics from Hertsfordshire University in Hatfield (U.K.) in 1992, and the Ph.D. degree in biological and medical engineering from the University Henri Poincaré (France) in 2000.
He is currently a Full Professor at University of Lorraine (UL) in Nancy, Director of the Master’s degree “BioSciences and Health Engineering” at the faculty of medicine and joint Head of the “Health Biology Signal” Department as well as coordinator of the “Radiation – Tissue Interactions” Group at the Research Center in Automatic Control (CRAN, UMR 7039), a joint research laboratory with UL and CNRS (French National Center for Scientific Research).
He teaches biomedical instrumentation, signal and image processing, and light-tissue interactions at Master level. His current research interests are in the field of in vivo optical characterization of biological tissues using UV-Vis-NIR spectroscopies and imaging (instrumentations, experimental validations) including light-tissue interaction modelling (simulation, parameter estimation, inverse problem solving), multidimensional spectroscopic data processing (feature extraction and supervised classification) and image processing (registration, mosaicking).
