A Multiscale Spatial Transformer U-Net for Simultaneously Automatic Reorientation and Segmentation of 3-D Nuclear Cardiac Images-Reference-Cited by-同舟云学术

A Multiscale Spatial Transformer U-Net for Simultaneously Automatic Reorientation and Segmentation of 3-D Nuclear Cardiac Images

Published:2024-07 Issue:6 Volume:8 Page:632-645
ISSN:2469-7311
Container-title:IEEE Transactions on Radiation and Plasma Medical Sciences
language:
Short-container-title:IEEE Trans. Radiat. Plasma Med. Sci.

Author:

Ni Yangfan¹,Zhang Duo¹,Ma Gege¹,Rao Fan¹^ORCID,Wu Yuanfeng¹,Lu Lijun²^ORCID,Huang Zhongke³,Zhu Wentao¹^ORCID

Affiliation:

1. Research Center for Augmented Intelligence, Zhejiang Laboratory, Hangzhou, China

2. School of Biomedical Engineering and the Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China

3. Department of Nuclear Medicine, Sir Run Run Shaw Hospital, Hangzhou, China

Funder

Research Grants from National Natural Science Foundation of China

Key Research and Development Program of Zhejiang Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7433213/10584410/10488032.pdf?arnumber=10488032

Reference35 articles.

1. PET and SPECT Tracers for Myocardial Perfusion Imaging

2. Advantages and disadvantages of PET and SPECT in a busy clinical practice

3. Quantification of Myocardial Blood Flow in Absolute Terms Using 82Rb PET Imaging

4. Single Photon Emission Computed Tomography (SPECT) Myocardial Perfusion Imaging Guidelines: Instrumentation, Acquisition, Processing, and Interpretation

5. Automated quantification of myocardial ischemia and wall motion defects by use of cardiac SPECT polar mapping and 4-dimensional surface rendering;Lin;J. Nucl. Med. Technol.,2006

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-modality deep learning-based [68Ga]Ga-DOTA-FAPI-04 PET polar map generation: potential value in detecting reactive fibrosis after myocardial infarction;European Journal of Nuclear Medicine and Molecular Imaging;2024-07-26

2. Continuous Max-Flow Augmentation of Self-Supervised Few-Shot Learning on Spect Left Ventricles;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27