The role of artificial intelligence in cardiovascular magnetic resonance imaging

IF 5.6 2区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
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引用次数: 0

Abstract

Cardiovascular magnetic resonance (CMR) imaging is the gold standard test for myocardial tissue characterization and chamber volumetric and functional evaluation. However, manual CMR analysis can be time-consuming and is subject to intra- and inter-observer variability. Artificial intelligence (AI) is a field that permits automated task performance through the identification of high-level and complex data relationships. In this review, we review the rapidly growing role of AI in CMR, including image acquisition, sequence prescription, artifact detection, reconstruction, segmentation, and data reporting and analysis including quantification of volumes, function, myocardial infarction (MI) and scar detection, and prediction of outcomes. We conclude with a discussion of the emerging challenges to widespread adoption and solutions that will allow for successful, broader uptake of this powerful technology.
人工智能在心血管磁共振成像中的作用。
心血管磁共振(CMR)成像是心肌组织特征描述、心腔容积和功能评估的金标准检测方法。然而,手动 CMR 分析可能非常耗时,而且受观察者内部和观察者之间差异的影响。人工智能(AI)是一个通过识别高层次复杂数据关系实现任务自动执行的领域。在这篇综述中,我们回顾了人工智能在 CMR 中迅速发展的作用,包括图像采集、序列处方、伪影检测、重建、分割以及数据报告和分析(包括容量量化、功能、心肌梗死(MI)和瘢痕检测以及预后预测)。最后,我们还讨论了广泛采用这项强大技术所面临的新挑战,以及如何成功、更广泛地采用这项技术的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Progress in cardiovascular diseases
Progress in cardiovascular diseases 医学-心血管系统
CiteScore
10.90
自引率
6.60%
发文量
98
审稿时长
7 days
期刊介绍: Progress in Cardiovascular Diseases provides comprehensive coverage of a single topic related to heart and circulatory disorders in each issue. Some issues include special articles, definitive reviews that capture the state of the art in the management of particular clinical problems in cardiology.
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