ShanghaiTech University Knowledge Management System
| Two-Phase Multi-Dose-Level Pet Image Reconstruction with Dose Level Awareness | |
| 2024 | |
| 会议录名称 | PROCEEDINGS - INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING |
| ISSN | 1945-7928 |
| 发表状态 | 已发表 |
| DOI | 10.1109/ISBI56570.2024.10635190 |
| 摘要 | To obtain high-quality positron emission tomography (PET) while minimizing radiation exposure, a range of methods have been designed to reconstruct standard-dose PET (SPET) from corresponding low-dose PET (LPET) images. However, most current methods merely learn the mapping between single-dose-level LPET and SPET images, but omit the dose disparity of LPET images in clinical scenarios. In this paper, to reconstruct high-quality SPET images from multi-dose-level LPET images, we design a novel two-phase multi-dose-level PET reconstruction algorithm with dose level awareness, containing a pre-training phase and a SPET prediction phase. Specifically, the pre-training phase is devised to explore both fine-grained discriminative features and effective semantic representation. The SPET prediction phase adopts a coarse prediction network utilizing pre-learned dose level prior to generate preliminary result, and a refinement network to precisely preserve the details. Experiments on MICCAI 2022 Ultra-low Dose PET Imaging Challenge Dataset have demonstrated the superiority of our method. © 2024 IEEE. |
| 会议录编者/会议主办者 | AI2D Center ; et al. ; Therapanacea ; Thermo Fisher Scientific ; United Imaging Intelligence ; Verasonics |
| 关键词 | Medical imaging Photons Positron emission tomography Dose levels Emission tomography Images reconstruction Low dose Low dose levels Multiple low-dose level PET images Positron emission Positron emission tomography Two phase |
| 会议名称 | 21st IEEE International Symposium on Biomedical Imaging, ISBI 2024 |
| 会议地点 | Athens, Greece |
| 会议日期 | May 27, 2024 - May 30, 2024 |
| URL | 查看原文 |
| 收录类别 | EI |
| 语种 | 英语 |
| 出版者 | IEEE Computer Society |
| EI入藏号 | 20243717025050 |
| EI主题词 | Positrons |
| EISSN | 1945-8452 |
| EI分类号 | 101.1 ; 1301.1.3 ; 1301.2.1 ; 746 Imaging Techniques |
| 原始文献类型 | Conference article (CA) |
| 来源库 | IEEE |
| 文献类型 | 会议论文 |
| 条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/430552 |
| 专题 | 生物医学工程学院_PI研究组_沈定刚组 |
| 通讯作者 | Wang, Yan |
| 作者单位 | 1.Sichuan University, School of Computer Science, Chengdu, China 2.ShanghaiTech University, School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, Shanghai; 201210, China 3.Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China |
| 推荐引用方式 GB/T 7714 | Fei, Yuchen,Luo, Yanmei,Wang, Yan,et al. Two-Phase Multi-Dose-Level Pet Image Reconstruction with Dose Level Awareness[C]//AI2D Center, et al., Therapanacea, Thermo Fisher Scientific, United Imaging Intelligence, Verasonics:IEEE Computer Society,2024. |
| 条目包含的文件 | 下载所有文件 | |||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
修改评论
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。