2024年12月05日 星期四 登录 EN

学术活动
Computational Imaging and Computational Radiotherapy
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报告人:
Jiulong Liu, Associate Professor, Academy of Mathematics and Systems Science, Chinese Academy of Sciences
题目:
Computational Imaging and Computational Radiotherapy
时间地点:
16:00-17:00 April 11 (Thursday) , Lecture hall on the first floor of Siyuan Building
摘要:

Cancer has long been one of the major threats to human health. As radiotherapy been one of the key effective methods for cancer treatment, the global demand for radiotherapy technology is experiencing a significant surge. Medical imaging, medical image analysis, and radiotherapy planning are fundamental computational tasks of radiotherapy and they directly impact the accuracy of radiotherapy.  Concurrently, the progress in medical imaging modalities and radiation therapy planning has given rise to various applied mathematical challenges, including large-scale inverse problems, nonconvex and nonsmooth optimization problems, etc.  Over the past years, I have developed a series of image processing and reconstruction methods for high-dimensional medical imaging, contributing to the enhancement of accuracy in radiotherapy planning. Recently, our research has delved into radiotherapy problems with the mentioned challenges. In this presentation, I will introduce some mathematic methods for high-resolution, dynamic imaging, multimodal medical imaging, and medical image analysis to develop more accurate radiotherapy dose distributions that are interpretable for the rumors. Through the synergy of imaging techniques and image analysis, I will also introduce introduce some of our nonconvex, nonsmooth, and stochastic optimization methods that aim to efficiently and stably solve the Flash radiotherapy planning and Robust radiotherapy planning problems, showcasing the corresponding planning results.