人工智能在心脏磁共振成像中的应用进展

Application of Artificial Intelligence in Cardiac Magnetic Resonance Imaging

心血管成像技术正在迅速增长,临床医生和研究人员也有比以往更多的机会参与开发和评价新的图像分析算法。心血管影像数据库的规模和维度不断扩大,这促使人们对应用强大的深度学习方法来分析这些数据产生了浓厚的兴趣。尽管目前存在技术和逻辑方面的挑战,但机器学习,特别是深度学习,必将对心血管成像未来的科学实践产生重大影响。在此做一综述,便于大家理解当前和未来机器学习和深度学习在日益丰富的心血管成像领域中的应用。

Cardiovascular imaging technology is growing rapidly, and clinicians and researchers have more opportunities than ever to participate in the development and evaluation of new image analysis algorithms. The growing size and dimension of cardiovascular databases has led to an interest in using powerful deep learning methods to analyze these data. Despite current technical and logical challenges, the machine learning, particularly deep learning, will have a significant impact on the future scientific practice of cardiovascular imaging. Here, we provide an overview to help you understand the current and future applications of machine learning and deep learning in the increasingly rich field of cardiovascular imaging.