应影像实验室邀请，12月31日（周五）早上 10:00 –11:00，北京大学 姜明 教授给我院师生做学术报告，具体情况如下：
报告题目：FPGA Acceleration for 3D Low-Dose CT
报告人：北京大学 姜明 教授
北京时间：2021年12月31日（周五）早上 10:00 –11:00
地点：线上报告
腾讯会议 链接：
会议主题：学术报告-北京大学 姜明 教授
会议时间：2021/12/31 10:00-11:00 (GMT+08:00) 中国标准时间 - 北京
点击链接入会，或添加至会议列表：
https://meeting.tencent.com/dm/NoEjzXFHSpDl
#腾讯会议：658-402-560
摘要：
In this presentation, I am to talk about our recent progress on accelerating the image reconstruction for low dose X-ray CT with field-programmable gate array (FPGA) devices. Low-dose CT (LDCT) is to provide CT images of clinical quality with reduced cumulative radiation dose. Iterative image reconstruction methods with effective regularization are used for LDCT but generally induce higher computation load than the conventional filtered back-projection methods. The high computational demand of iterative image reconstruction methods with notably increased reconstruction time precludes its routine clinical application and makes it unacceptable in emergency. FPGA is highly programmable and enables optimizing the usage of computing resources at logic gate level. In our work, we formulate an iterative reconstruction algorithm by the Mumford-Shah regularization functional with beam-based asynchronous parallelism. In the implementation, because of the beam-based approach, we can use the pipelining and tiling techniques to increase the computational efficiency and reduce the memory I/O. The implementation is evaluated with a physical phantom and has image quality comparable with the vendor’s result. Relevant aspects of the asynchronous parallelism and implementation are also discussed. This is a joint work with Yong Cui, William Hsu, Guojie Luo, Linjun Qiao, and Wentai Zhang.
报告人简介：
