Multi-scale deformable transformer for multi-contrast knee MRI super-resolution
Zou, Beiji1,2; Ji, Zexin1,2; Zhu, Chengzhang1,2,4; Dai, Yulan1,2; Zhang, Wensheng3; Kui, Xiaoyan1,2
发表期刊BIOMEDICAL SIGNAL PROCESSING AND CONTROL
ISSN1746-8094
2023
卷号79页码:11
通讯作者Kui, Xiaoyan(xykui@csu.edu.cn)
摘要Background and objective: Magnetic resonance imaging can present the precise anatomic structure in clinical applications. Nevertheless, due to the limited scanning equipment cost, scanning time and so on, high -resolution knee MR images are difficult to obtain. So the super-resolution technique is developed to improve the image quality. Unfortunately, conventional CNN-based methods cannot explicitly learn the long-range dependencies in images and simply integrate the auxiliary contrast without considering the characteristics of medical images. To tackle this issue, our approach aims to adaptively capture and fuse the significant auxiliary information of the multi-contrast images to improve the knee magnetic resonance image quality.Methods: We propose a multi-scale deformable transformer network (MSDT) for multi-contrast knee magnetic resonance imaging super-resolution. First, we aggregate multi-scale patch embedding from the multi-contrast knee MR images to effectively preserve the local contextual details and global structure information. Then, the deformable transformer architecture is designed to learn the data-dependent sparse attention of the knee MR image, which can adaptively obtain the high-frequency foreground details according to the image content.Results: The proposed method is evaluated on the fastMRI dataset under 2x and 4x enlargements. Our MSDT achieves higher PSNR of 31.98 and SSIM of 0.713 at 2x upsampling factor and PSNR of 30.38 and SSIM of 0.615 at 4x upsampling factor. Moreover, our method can generate clear tissue structures and fine details.Conclusions: The experimental results show superior performance in comparison to the state-of-the-art super -resolution methods. This indicates that the MSDT can effectively reconstruct the high-quality knee MR images.
关键词Magnetic resonance imaging Multi-contrast reconstruction Super-resolution Transformer Convolutional neural network
DOI10.1016/j.bspc.2022.104154
关键词[WOS]IMAGE SUPERRESOLUTION ; ALGORITHM ; NETWORK
收录类别SCI
语种英语
资助项目National Key R&D Program of China[2018AAA0102100] ; National Natural Science Foundation of China[62177047] ; Key Research and Development Program of Hunan Province[2022SK2054] ; Scientific and Technological Innovation Leading Plan of High-tech Industry of Hunan Province[2020GK2021] ; Interna-tional Science and Technology Innovation Joint Base of Machine Vision and Medical Image Processing in Hunan Province[2021CB1013] ; Natural Science Foundation of Hunan Province[2022JJ30762] ; 111 project[B18059]
项目资助者National Key R&D Program of China ; National Natural Science Foundation of China ; Key Research and Development Program of Hunan Province ; Scientific and Technological Innovation Leading Plan of High-tech Industry of Hunan Province ; Interna-tional Science and Technology Innovation Joint Base of Machine Vision and Medical Image Processing in Hunan Province ; Natural Science Foundation of Hunan Province ; 111 project
WOS研究方向Engineering
WOS类目Engineering, Biomedical
WOS记录号WOS:000862722500008
出版者ELSEVIER SCI LTD
引用统计
被引频次:6[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/50414
专题精密感知与控制研究中心_人工智能与机器学习
通讯作者Kui, Xiaoyan
作者单位1.Cent South Univ, Sch Comp Sci & Engn, Changsha 410083, Peoples R China
2.Cent South Univ, Hunan Engn Res Ctr Machine Vis & Intelligent Med, Changsha 410083, Peoples R China
3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
4.Cent South Univ, Coll Literature & Journalism, Changsha 410083, Peoples R China
推荐引用方式
GB/T 7714
Zou, Beiji,Ji, Zexin,Zhu, Chengzhang,et al. Multi-scale deformable transformer for multi-contrast knee MRI super-resolution[J]. BIOMEDICAL SIGNAL PROCESSING AND CONTROL,2023,79:11.
APA Zou, Beiji,Ji, Zexin,Zhu, Chengzhang,Dai, Yulan,Zhang, Wensheng,&Kui, Xiaoyan.(2023).Multi-scale deformable transformer for multi-contrast knee MRI super-resolution.BIOMEDICAL SIGNAL PROCESSING AND CONTROL,79,11.
MLA Zou, Beiji,et al."Multi-scale deformable transformer for multi-contrast knee MRI super-resolution".BIOMEDICAL SIGNAL PROCESSING AND CONTROL 79(2023):11.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zou, Beiji]的文章
[Ji, Zexin]的文章
[Zhu, Chengzhang]的文章
百度学术
百度学术中相似的文章
[Zou, Beiji]的文章
[Ji, Zexin]的文章
[Zhu, Chengzhang]的文章
必应学术
必应学术中相似的文章
[Zou, Beiji]的文章
[Ji, Zexin]的文章
[Zhu, Chengzhang]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。