博士论文答辩：面向X光CT图像重建的数据驱动方法研究
日期：2023/08/17 - 2023/08/17
博士论文答辩：面向X光CT图像重建的数据驱动方法研究
主讲人：Zhipeng Li, Ph.D. candidate at UM-SJTU Joint Institute
时间：2023年8月17日（周四）上午9:00
地点：密西根学院龙宾楼403会议室
讲座摘要
X-ray computed tomography (CT) is a popular imaging modality in clinics, and technical advances in CT such as low-dose CT (LDCT) and dual-energy CT (DECT) open up new applications for this imaging modality. This dissertation investigates incorporating data-driven techniques into the model-based image reconstruction (MBIR) and decomposition (MBID) frameworks for LDCT and DECT, respectively. First, an MBID method using unsupervised data-driven priors is proposed for image-domain material decomposition in DECT. Second, an MBID method using supervised data-driven priors is proposed to further improve decompositions. Third, a deep learning-based MBIR method is proposed to obtain high-quality reconstructed images in LDCT.