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Editorial: Multimodality imaging in the assessment of ischemic chronic coronary syndrome.

作者信息

Muscogiuri Giuseppe, Guglielmo Marco

机构信息

Department of Radiology, Istituto Auxologico Italiano IRCCS, San Luca Hospital, Milan, Italy.

School of Medicine, University of Milano-Bicocca, Milan, Italy.

出版信息

Front Cardiovasc Med. 2023 Apr 11;10:1146050. doi: 10.3389/fcvm.2023.1146050. eCollection 2023.

DOI:10.3389/fcvm.2023.1146050
PMID:37113705
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10126425/
Abstract
摘要

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3
Cardiac Magnetic Resonance Tissue Characterization in Ischemic Cardiomyopathy.缺血性心肌病的心脏磁共振组织特征。
J Thorac Imaging. 2022 Jan 1;37(1):2-16. doi: 10.1097/RTI.0000000000000621.
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Feasibility of late gadolinium enhancement (LGE) in ischemic cardiomyopathy using 2D-multisegment LGE combined with artificial intelligence reconstruction deep learning noise reduction algorithm.基于 2D 多节段钆延迟增强(LGE)联合人工智能重建深度学习降噪算法评估缺血性心肌病 LGE 的可行性。
Int J Cardiol. 2021 Nov 15;343:164-170. doi: 10.1016/j.ijcard.2021.09.012. Epub 2021 Sep 10.
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Automated left and right ventricular chamber segmentation in cardiac magnetic resonance images using dense fully convolutional neural network.使用密集全卷积神经网络对心脏磁共振图像进行自动左右心室腔分割
Comput Methods Programs Biomed. 2021 Jun;204:106059. doi: 10.1016/j.cmpb.2021.106059. Epub 2021 Mar 21.
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