Research Advances of Artificial Intelligence in Radionuclide Myocardial Perfusion Imaging
10.3969/j.issn.1005-5185.2023.12.015
- VernacularTitle:人工智能在放射性核素心肌灌注显像中的研究进展
- Author:
Fukai ZHAO
1
;
Jianming LI
Author Information
1. 天津医科大学心血管病临床学院 泰达国际心血管病医院核医学科,天津 300457
- Keywords:
Nuclear cardiology;
Radionuclide;
Myocardial perfusion imaging;
Artificial intelligence;
Review
- From:
Chinese Journal of Medical Imaging
2023;31(12):1316-1322,1341
- CountryChina
- Language:Chinese
-
Abstract:
With the continuous advancement of technology,the application of artificial intelligence in medical imaging has become increasingly widespread,notably revolutionizing the field of nuclear cardiology through the intelligent and precise development of radionuclide myocardial perfusion imaging.Artificial intelligence,particularly machine learning and deep learning,has shown immense potential in handling the voluminous and complex data associated with myocardial perfusion imaging.It plays a pivotal role in reducing image acquisition time and radiation dosage,enhancing image quality,optimizing diagnostic accuracy and automating processing and prognostic assessments.This paper summarizes the applications of artificial intelligence in various aspects of myocardial perfusion imaging,including data collection and processing,attenuation correction,image post-processing,diagnostic reporting and patient prognostic evaluation.The aim is to provide new insights and methodologies for research work,thereby promoting the intelligent and precise advancement of nuclear cardiology.
