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国际著名计算神经科学专家,美国University of Texas教授、系主任Prof. Jianzhong Su5月23日来校讲学


  学术报告题目:An Inverse Problem In Diffusive Optical Tomography And Its Globally Convergent Reconstruction Method
  主 讲 人:Prof. Jianzhong Su
  时 间:2012年5月23日下午4:30-6:30
  地 点:F电2
  Prof. Jianzhong Su概况:
   国际著名教授和计算神经科学专家,美国University of Texas教授、系主任。1984年在上海交通大学获得应用数学硕士学位,1990年在美国University of Minnesota获得数学博士学位。主持三项在研的美国自然科学基金项目,主持了两个国际学术会议。研究领域:计算神经科学,动力系统,生物数学。

  报告摘要: In this talk, we present both the theory and experimental applications of a Globally Convergent Method (GCM) for an inverse problem in Diffusion Optical Tomography. The method is for a coefficient inverse problem for an elliptic partial differential equation with an unknown potential, an important problem at the core of Near-Infrared laser imaging technology for cancer and stroke detections. The GCM reconstruction method fundamentally differs from other current methods based on the Newton's method or any optimization scheme. GCM does not require a relative precise first guess and hence it is capable in dealing with complex media and realistic geometry for biomedical applications. Several sets of measurements are generated by placing the light source at some designated locations. Mathematically, we first prove a global convergence theorem for the numerical reconstruction method. Then we use this method in experiments of an optical phantom emulating rat brain suffering a stroke. We present the experimental setup of optical measurements and report accurate images and their physical parameters of hidden interior objects inside an optical phantom, which are reconstructed based on light intensity data collected on the surface.


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