Automatic image registration of optoacoustic tomography and magnetic resonance imaging based on deep learning

doi:10.1117/12.2655214

	Automatic image registration of optoacoustic tomography and magnetic resonance imaging based on deep learning
	Hu, Yexing1 ; Lafci, Berkan 2,3; Luzgin, Artur 2,3; Wang, Hao 2,3; Klohs, Jan 3; Deán-Ben, Xose Luis 2,3; Ni, Ruiqing 3,4; Razansky, Daniel 2,3; Ren, Wuwei1
	2022
会议录名称	PROCEEDINGS OF SPIE - THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING
ISSN	0277-786X
卷号	12461
发表状态	已发表
DOI	10.1117/12.2655214
摘要	Multi-spectral optoacoustic tomography (MSOT) combines rich contrast of optical imaging and high resolution of ultrasound, and becomes an attractive biomedical research tool in the last decade. Aligning MSOT images with anatomical map provided by magnetic resonance imaging (MRI) can potentially enhance the interpretation of optoacoustic signal which mainly reflects molecular and functional information. Therefore, developing an automated algorithm of image registration between MSOT and MRI is crucial. Existing MSOT-MRI registration algorithms mostly relied on manual segmentation, which requires user-dependent experience. Herein, we developed a fully automated algorithm for MSOT-MRI registration based on deep learning (DL). This workflow consists of DL-based segmentation and image transformation. We have experimentally demonstrated the accuracy and computational efficiency of the method, paving the way towards high-throughput MSOT data analysis in close future. © 2022 SPIE. All rights reserved.
关键词	Brain mapping Computational efficiency Deep learning Image enhancement Image registration Image segmentation Magnetism Photons Resonance Tomography Automated algorithms Automatic image registration Brain imaging Deep learning High resolution Images registration Imaging resolutions Multi-spectral Optical imaging Optoacoustic tomography
会议名称	1st Conference on Biomedical Photonics and Cross-Fusion, BPC 2022
会议地点	Shanghai, China
会议日期	August 21, 2022 - August 23, 2022
收录类别	EI
语种	英语
出版者	SPIE
EI入藏号	20224713137933
EI主题词	Magnetic resonance imaging
EISSN	1996-756X
EI分类号	461.1 Biomedical Engineering ; 461.4 Ergonomics and Human Factors Engineering ; 701.2 Magnetism: Basic Concepts and Phenomena ; 723.2 Data Processing and Image Processing ; 746 Imaging Techniques ; 931.1 Mechanics ; 931.3 Atomic and Molecular Physics
原始文献类型	Conference article (CA)
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/251430
专题	信息科学与技术学院_PI研究组_任无畏组信息科学与技术学院_硕士生
通讯作者	Ni, Ruiqing; Razansky, Daniel; Ren, Wuwei
作者单位	1.School of Information Science and Technology, ShanghaiTech University, Shanghai; 201210, China; 2.Institute of Pharmacology and Toxicology, Institute for Biomedical Engineering, Faculty of Medicine, University of Zurich, Zurich; 8052, Switzerland; 3.Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich; 8093, Switzerland; 4.Institute for Regenerative Medicine, University of Zurich, Zurich; 8952, Switzerland
第一作者单位	信息科学与技术学院
通讯作者单位	信息科学与技术学院
第一作者的第一单位	信息科学与技术学院
推荐引用方式 GB/T 7714	Hu, Yexing,Lafci, Berkan,Luzgin, Artur,et al. Automatic image registration of optoacoustic tomography and magnetic resonance imaging based on deep learning[C]:SPIE,2022.