Optimization of regularization of attenuation and scatter-corrected /sup 99m/Tc cardiac SPECT studies for defect detection using hybrid images
Author:
Affiliation:
1. Med. Sch., Massachusetts Univ., Worcester, MA, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Nuclear Energy and Engineering,Nuclear and High Energy Physics
Link
http://xplorestaging.ieee.org/ielx5/23/20355/00940164.pdf?arnumber=940164
Cited by 19 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. DEMIST: A Deep-Learning-Based Detection-Task-Specific Denoising Approach for Myocardial Perfusion SPECT;IEEE Transactions on Radiation and Plasma Medical Sciences;2024-04
2. Observer studies of image quality of denoising reduced-count cardiac single photon emission computed tomography myocardial perfusion imaging by three-dimensional Gaussian post-reconstruction filtering and deep learning;Journal of Nuclear Cardiology;2023-12
3. Comparison of post reconstruction- and reconstruction-based deep learning denoising methods in cardiac SPECT;Biomedical Physics & Engineering Express;2023-09-13
4. Anatomically guided reconstruction improves lesion quantitation and detectability in bone SPECT/CT;Nuclear Medicine Communications;2023-02-21
5. Comparison of deep learning-based denoising methods in cardiac SPECT;EJNMMI Physics;2023-02-08
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