Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Multi-scale Adaptive Transformer for Image Deblurring in Magnetic Particle | |
Fan Yang1,2,3![]() ![]() ![]() ![]() ![]() ![]() | |
2024-05 | |
会议名称 | IEEE International Symposium on Biomedical Imaging |
会议日期 | 2024-5 |
会议地点 | Athens,Greece |
出版者 | IEEE |
摘要 | Magnetic particle imaging (MPI) is a novel medical imaging technology, which uses the nonlinear magnetization response of super-paramagnetic iron oxide (SPIOs) to describe the distribution of SPIOs in the target region. X-space method is a widely used image reconstruction method of MPI, which directly reconstruct in spatial domain. However, due to its inherent limitation of disregarding the physical properties of real systems, native X-space reconstructed MPI images are usually very blurry which limits the subsequent clinical use. In this study, we propose a novel multi-scale adaptive transformer (MSA-transformer) for image deblurring and recover the detail information. We perform experiments on both simulated datasets and real data to evaluate of our method. The experimental result shows, our method outperforms existing methods including methods used in MPI and some prevalent restoration methods used in computer vision. |
收录类别 | EI |
七大方向——子方向分类 | 医学影像处理与分析 |
国重实验室规划方向分类 | AI For Science |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/57481 |
专题 | 中国科学院分子影像重点实验室 |
通讯作者 | Hui Hui |
作者单位 | 1.CAS Key Laboratory of Molecular Imaging, Institute of Automation 2.Beijing Key Laboratory of Molecular Imaging 3.University of Chinese Academy of Sciences 4.Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology 5.School of Engineering Medicine School of Biological Science and Medical Engineering, Beihang University |
推荐引用方式 GB/T 7714 | Fan Yang,Liwen Zhang,Jiaxin Zhang,et al. Multi-scale Adaptive Transformer for Image Deblurring in Magnetic Particle[C]:IEEE,2024. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
ISBI24_paper_873.pdf(759KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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