Review of cardiovascular imaging in The Journal of Nuclear Cardiology in 2014: Part 2 of 2: Myocardial perfusion imaging

Abstract

In this new feature of The Journal of Nuclear Cardiology we will summarize key articles that were published in the Journal in the previous year. In the first article of this 2-part series we concentrated on publications dealing with cardiac positron emission tomography, computed tomography, and neuronal imaging. This review will focus on myocardial perfusion imaging summarizing advances in the field including in diagnosis, prognosis, appropriateness, and safety of testing.

Review of cardiovascular imaging in the Journal of Nuclear Cardiology 2020: positron emission tomography, computed tomography, and magnetic resonance

“…It has been a tradition to summarize some of the key articles that were published each year. [1][2][3][4][5][6][7][8][9][10][11] This review is dedicated to the colleagues and loved ones we lost during the pandemic, and to the bright minds whose vigorous and endless efforts and dedication transcended all obstacles to provide us with these amazing papers. This review will specifically address articles published in the Journal relating to positron emission tomography (PET), cardiac computed tomography (CT), and cardiac magnetic resonance (CMR).…”

Blood flow imaging of high frame rate two‐dimensional vector in cardiovascular ultrasound detection

“…Methods based on machine learning and computer vision have become popular. In the supervised classification method, the method based on support vector machine (SVM) [12], AdaBoost [13], ECOC error correction output coding [14], sequential learning [15], random forest [16] and neural network [17] are adopted. Based on the SVM method, the user is required to provide the first frame of the lumen and non‐inner region of the IVUS sequence to generate an initial likelihood value [18].…”