CASIA OpenIR  > 中国科学院分子影像重点实验室
Multi-scale Adaptive Transformer for Image Deblurring in Magnetic Particle
Fan Yang1,2,3; Liwen Zhang1,2; Jiaxin Zhang1,2,3; Zechen Wei1,2,3; Xin Yang1,2; Jie Tian4,5; Hui Hui1,2,3
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
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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