Srini Tridandapani

Srini Tridandapani (S’86-M’95-SM’12) received the B.E. degree from Anna University, Chennai, India, and the M.S.E.E. and Ph.D. degrees from the University of Washington, Seattle, WA, USA, all in electrical engineering. After postdoctoral training in computer science at the University of California, Davis, CA, USA, he was an Assistant Professor of electrical and computer engineering at Iowa State University. He then took the bold plunge into medical school and received the M.D. degree followed by residency training in radiology from the University of Michigan, Ann Arbor, MI, USA. He subsequently received a Masters degree in clinical and translational research and an M.B.A. from Emory University, Atlanta, GA, USA. He received clinical fellowships in cardiothoracic imaging and abdominal imaging also from Emory University. A board-certified radiologist, he is a Professor and Vice Chair for Imaging Informatics, Department of Radiology, at University of Alabama, Birmingham, AL, USA and an Adjunct Professor with the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA. This work was performed while he was on the faculty of the Department of Radiology and Imaging Sciences at Emory University. His current research involves the development of novel gating strategies for optimizing cardiac computed tomography and innovative tools to increase quality and patient safety in medical imaging.

Associated articles

JTEHM, Articles, Published Articles
An Adaptive Seismocardiography (SCG)-ECG Multimodal Framework for Cardiac Gating Using Artificial Neural Networks
To more accurately trigger data acquisition and reduce radiation exposure of coronary computed tomography angiography (CCTA), a multimodal framework utilizing both electrocardiography (ECG) and seismocardiography (SCG) for CCTA prospective gating is presented. Relying upon a three-layer artificial neural network that... Read more
JTEHM, Articles, Published Articles
Elucidating the Hemodynamic Origin of Ballistocardiographic Forces: Towards Improved Monitoring of Cardiovascular Health at Home
The ballistocardiogram (BCG), a signal describing the reaction forces of the body to cardiac ejection of blood, has recently gained interest in the research community as a potential tool for monitoring the mechanical aspects of cardiovascular health for patients at... Read more
JTEHM, Articles, Published Articles
Near Real-Time Implementation of An Adaptive Seismocardiography — ECG Multimodal Framework for Cardiac Gating
   Early Access Note: Early Access articles are new content made available in advance of the final electronic or print versions and result from IEEE’s Preprint or Rapid Post processes. Preprint articles are peer-reviewed but not fully edited. Rapid Post articles are... Read more
JTEHM, Articles, Published Articles
Seismocardiography-Based Cardiac Computed Tomography Gating Using Patient-Specific Template Identification and Detection
    To more accurately trigger cardiac computed tomography angiography (CTA) than electrocardiography (ECG) alone, a sub-system is proposed as an intermediate step toward fusing ECG with seismocardiography (SCG). Accurate prediction of quiescent phases is crucial to prospectively gating CTA, which is... Read more
JTEHM, Articles
Combining Optical Character Recognition with Paper ECG Digitization
Objective: We propose a MATLAB-based tool to convert electrocardiography (ECG) waveforms from paper-based ECG records into digitized ECG signals that is vendor-agnostic. The tool is packaged as an open source standalone graphical user interface (GUI) based application. Methods and procedures:... Read more