Two novel methods for detecting cardiac quiescent phases from B-mode echocardiography using a correlation-based frame-to-frame deviation measure were developed. Accurate knowledge of cardiac quiescence is crucial to the performance of many imaging modalities, including computed tomography coronary angiography (CTCA).
See complete bios of the authors in the full version of this article.
Mr. Wick is currently pursuing a Ph.D. from the Georgia Institute of Technology. His current research is focused on digital signal processing of cardiac signals, with applications for motion analysis and tracking.
Dr. McClellan has been a Professor in the School of Electrical and Computer Engineering at Georgia Tech, where he presently holds the John and Marilu McCarty Chair. He is a co-author of the texts Number Theory in Digital Signal Processing, Computer Exercises for Signal Processing, DSP First: A Multimedia Approach, and Signal Processing First.
Mr. Ravichandran was a postdoctoral fellow in the Department of Radiology and Imaging Sciences at Emory University, Atlanta, from 2011 to 2012. His primary research interests are in the areas of development of signal and image processing algorithms, analysis of biomedical data and, architectural implementation of signal processing algorithms.
Dr. Tridandapani is a board-certified radiologist, and is a faculty member in the Department of Radiology and Imaging Sciences at Emory University and an Adjunct Professor in the School of Electrical and Computer Engineering at Georgia Institute of Technology. His research involves the development of novel gating strategies for optimizing cardiac computed tomography and tools to increase patient safety in medical imaging.