深度学习实现单光子发射计算机断层扫描心肌灌注成像心肌重定向自动化 - Suppr

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超能文献

Deep learning to automate SPECT MPI myocardial reorientation.

作者信息

Hijazi Waseem, Miller Robert J H

机构信息

Department of Cardiac Sciences, University of Calgary, GAA08, 3230 Hospital Drive NW, Calgary, AB, T2N 2T9, Canada.

出版信息

J Nucl Cardiol. 2023 Oct;30(5):1836-1837. doi: 10.1007/s12350-023-03260-0. Epub 2023 Apr 26.

DOI:10.1007/s12350-023-03260-0

PMID:37101018

Abstract

摘要

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本文引用的文献

Comparison of 2D-QCA, 3D-QCA and coronary angiography derived FFR in predicting myocardial ischemia assessed by CZT-SPECT MPI.比较 2D-QCA、3D-QCA 和冠状动脉造影衍生的 FFR 在预测 CZT-SPECT MPI 评估的心肌缺血中的作用。

J Nucl Cardiol. 2023 Oct;30(5):1973-1982. doi: 10.1007/s12350-023-03240-4. Epub 2023 Mar 16.

Developing a framework for evaluating and comparing risk models.开发一个用于评估和比较风险模型的框架。

J Nucl Cardiol. 2023 Feb;30(1):59-61. doi: 10.1007/s12350-022-03036-y. Epub 2022 Dec 27.

Deep Learning Coronary Artery Calcium Scores from SPECT/CT Attenuation Maps Improve Prediction of Major Adverse Cardiac Events.深度学习从 SPECT/CT 衰减图中计算冠状动脉钙评分可提高对主要不良心脏事件的预测能力。

J Nucl Med. 2023 Apr;64(4):652-658. doi: 10.2967/jnumed.122.264423. Epub 2022 Oct 7.

Deep Learning-Based Attenuation Correction Improves Diagnostic Accuracy of Cardiac SPECT.深度学习衰减校正提高心脏 SPECT 诊断准确性。

J Nucl Med. 2023 Mar;64(3):472-478. doi: 10.2967/jnumed.122.264429. Epub 2022 Sep 22.

Deep-learning-based estimation of attenuation map improves attenuation correction performance over direct attenuation estimation for myocardial perfusion SPECT.基于深度学习的衰减图估计比直接衰减估计在心肌灌注 SPECT 的衰减校正性能上有所提高。

J Nucl Cardiol. 2023 Jun;30(3):1022-1037. doi: 10.1007/s12350-022-03092-4. Epub 2022 Sep 12.

Artificial intelligence for disease diagnosis and risk prediction in nuclear cardiology.核医学中用于疾病诊断和风险预测的人工智能。

J Nucl Cardiol. 2022 Aug;29(4):1754-1762. doi: 10.1007/s12350-022-02977-8. Epub 2022 May 4.

"Virtual" attenuation correction: improving stress myocardial perfusion SPECT imaging using deep learning.“虚拟”衰减校正：使用深度学习改善应激心肌灌注 SPECT 成像。

Eur J Nucl Med Mol Imaging. 2022 Jul;49(9):3140-3149. doi: 10.1007/s00259-022-05735-7. Epub 2022 Mar 21.

Post-reconstruction attenuation correction for SPECT myocardium perfusion imaging facilitated by deep learning-based attenuation map generation.基于深度学习的衰减图生成助力SPECT心肌灌注成像的重建后衰减校正。

J Nucl Cardiol. 2022 Dec;29(6):2881-2892. doi: 10.1007/s12350-021-02817-1. Epub 2021 Oct 20.

Artificial Intelligence-Based Image Enhancement in PET Imaging: Noise Reduction and Resolution Enhancement.基于人工智能的 PET 成像图像增强：降噪与分辨率增强。

PET Clin. 2021 Oct;16(4):553-576. doi: 10.1016/j.cpet.2021.06.005.

CT-free attenuation correction for dedicated cardiac SPECT using a 3D dual squeeze-and-excitation residual dense network.使用三维双挤压激发残差密集网络的专用心脏 SPECT 无 CT 衰减校正。

J Nucl Cardiol. 2022 Oct;29(5):2235-2250. doi: 10.1007/s12350-021-02672-0. Epub 2021 Jun 3.

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