图像合成及其在医学图像分析中的应用
Image Synthesis and its Applications in Medical Image Analysis
   Jerry L. Prince
报告人照片   Jerry L. Prince received the B.S. degree from the University of Connecticut in 1979 and the S.M., E.E., and Ph.D. degrees in 1982, 1986, and 1988, respectively, from the Massachusetts Institute of Technology, all in electrical engineering and computer science. He worked at the Brigham and Women's Hospital, MIT Lincoln Laboratories, and The Analytic Sciences Corporation (TASC). Dr. Prince is a Fellow of the IEEE, Fellow of the MICCAI Society, Fellow of the AIMBE, and a member of Sigma Xi.
  Image synthesis methods can take acquired images and produce images with a contrast or modality that was not imaged. Image synthesis can be used to normalize image intensities in MR images, which lack a standard intensity scale. This can be very useful in multi-center trials involving scanners from different manufacturers, hardware, and pulse sequence implementations. Image synthesis can be used to improve multi-modal registration by synthesizing images so that same-modality similarity metrics can be used instead of mutual information. Finally, image synthesis can be used to normalize longitudinal image acquisitions that were acquired over time and have data acquired with different resolutions, pulse sequences, and even scanner strengths. Different image synthesis approaches will be described, starting from a historical perspective and ending with the most modern approaches that are under development today.
报告时间:2017年11月07日09时00分    报告地点:科大中区科大医学楼108室
报名截止日期:2017年11月07日    可选人数:40