Biography & Affiliation


Dr. Pednekar received his Baccalaureate in Electrical Engineering in at University of Mumbai in India. He then completed a PhD in Computer Science in 2003 at University of Houston, Texas. He is certified by the American Board of Medical Physics since September 2016 in in MRI Physics. After completing his PhD, Dr. Pednekar joined St. Luke’s Episcopal Hospital, in Houston, Texas, as a Radiology Research Specialist, prior to becoming MRI Clinical Scientist for Philips Healthcare in 2005. He was Senior Imaging Scientist at Texas Children's hospital since 2017 prior to joining Department of Radiology at Cincinnati Children's Hospital as Assistant Professor. Dr. Pednekar is a skilled in cardiovascular MRI, passionately translating technical innovation into clinical practice.

He is an imaging scientist and algorithm developer with decade plus of experience in the field of diagnostic magnetic resonance imaging, guiding technical innovation towards clinical needs and translating them into clinical practice.

Clinical Interests

Cardiovascular and Body MRI

Research Divisions



BEng: iElectrical Engineering , University of Mumbai, India.

PhD: Computer Science, University of Houston, Houston, TX.

DABMP: MRI Physics.


Breath-hold and free-breathing quantitative assessment of biventricular volume and function using compressed SENSE: A clinical validation in children and young adults. Kocaoglu, M; Pednekar, AS; Wang, H; Alsaied, T; Taylor, MD; Rattan, MS. Journal of Cardiovascular Magnetic Resonance. 2020; 22.

Regadenoson Stress Perfusion Cardiac Magnetic Resonance Imaging in Children With Kawasaki Disease and Coronary Artery Disease. Doan, TT; Wilkinson, JC; Loar, RW; Pednekar, AS; Masand, PM; Noel, CV. American Journal of Cardiology. 2019; 124:1125-1132.

Free-breathing Cardiorespiratory Synchronized Cine MRI for Assessment of Left and Right Ventricular Volume and Function in Sedated Children and Adolescents with Impaired Breath-holding Capacity. Pednekar, AS; Jadhav, S; Noel, C; Masand, P. 2019; 1:e180027-e180027.

Two-center clinical validation and quantitative assessment of respiratory triggered retrospectively cardiac gated balanced-SSFP cine cardiovascular magnetic resonance imaging in adults. Pednekar, AS; Wang, H; Flamm, S; Cheong, BY; Muthupillai, R. Journal of Cardiovascular Magnetic Resonance. 2018; 20.

Interleaved susceptibility-weighted and FLAIR MRI for imaging lesion-penetrating veins in multiple sclerosis. Gabr, RE; Pednekar, AS; Kamali, A; Lincoln, JA; Nelson, FM; Wolinsky, JS; Narayana, PA. Magnetic Resonance in Medicine. 2018; 80:1132-1137.

Platform for Automated Real-Time High Performance Analytics on Medical Image Data. Allen, WJ; Gabr, RE; Tefera, GB; Pednekar, AS; Vaughn, MW; Narayana, PA. IEEE journal of biomedical and health informatics. 2018; 22:318-324.

Patient-specific 3D FLAIR for enhanced visualization of brain white matter lesions in multiple sclerosis. Gabr, RE; Pednekar, AS; Govindarajan, KA; Sun, X; Riascos, RF; Ramirez, MG; Hasan, KM; Lincoln, JA; Nelson, F; Wolinsky, JS; et al. Journal of Magnetic Resonance Imaging. 2017; 46:557-564.

GRAPE: a graphical pipeline environment for image analysis in adaptive magnetic resonance imaging. Gabr, RE; Tefera, GB; Allen, WJ; Pednekar, AS; Narayana, PA. International Journal of Computer Assisted Radiology and Surgery. 2017; 12:449-457.

A Framework for Precision Magnetic Resonance Imaging: Initial Results. Gabr, RE; Pednekar, AS; Sun, X; Narayana, PA; IEEE, . (2016) IEEE. 276-279.

Automated Patient-Specific Optimization of Three-Dimensional Double-Inversion Recovery Magnetic Resonance Imaging. Gabr, RE; Sun, X; Pednekar, AS; Narayana, PA. Magnetic Resonance in Medicine. 2016; 75:585-593.