Investigation of Direct and Indirect Approaches of Deep-Learning-Based Attenuation Correction for General Purpose and Dedicated Cardiac SPECT Scanners-Reference-Cited by-同舟云学术

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Investigation of Direct and Indirect Approaches of Deep-Learning-Based Attenuation Correction for General Purpose and Dedicated Cardiac SPECT Scanners

Published:2021-10-16 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
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Author:

Chen Xiongchao¹,Zhou Bo¹,Xie Huidong¹,Shi Luyao¹,Liu Hui¹,Liu Chi¹

Affiliation:

1. Engineering at Yale University,Department of Biomedical,New Haven,USA,CT 06511

Funder

Yale University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9875398/9875424/09875517.pdf?arnumber=9875517

Reference3 articles.

1. CT-free attenuation correction for dedicated cardiac SPECT using a 3D dual squeeze-and-excitation residual dense network;chen;26th Annual Meeting of ASNC,2020

2. Direct Attenuation Correction Using Deep Learning for Cardiac SPECT: A Feasibility Study

3. Deep learning-based attenuation map generation for myocardial perfusion SPECT

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2. Enhancing Convergence Speed in Control of Synchronous Motors Using Model Predictive Control–MPC with Reference Model;Lecture Notes in Networks and Systems;2024

3. Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT;Lecture Notes in Computer Science;2022

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