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.
BEng: iElectrical Engineering , University of Mumbai, India.
PhD: Computer Science, University of Houston, Houston, TX.
DABMP: MRI Physics.
Cardiovascular and Body MRI
Radiology
Accelerated Cine Cardiac MRI Using Deep Learning-Based Reconstruction: A Systematic Evaluation. Journal of Magnetic Resonance Imaging. 2024; 60:640-650.
Kiosk 3R-TA-08 Compressed SENSE 4D Flow vs 2D Phase Contrast Cardiac Magnetic Resonance Flow Validation in Complex Congenital Heart Disease. Critical Reviews in Computed Tomography (Informa). 2024; 26:100531.
Cardiothoracic Magnetic Resonance Angiography. Current Problems in Diagnostic Radiology. 2024; 53:154-165.
Influence of aortic valve morphology on vortical structures and wall shear stress. Medical and Biological Engineering and Computing. 2023; 61:1489-1506.
Left ventricular non-compaction in paediatrics: a novel semi-automated imaging technique bridging imaging findings and clinical outcomes. European Heart Journal-Cardiovascular Imaging. 2023; 24:598-606.
Autonomic Nervous System Monitoring: Cardiac Magnetic Resonance Imaging Data as a Surrogate for Autonomic Data in Children. Cureus. 2022; 14:e32014.
Performance of C-SENSE Accelerated Rapid Liver Shear Stiffness Measurement Using Displacement Wave Polarity-Inversion Motion Encoding: An Evaluation Study. Journal of Magnetic Resonance Imaging. 2022; 56:754-765.
Quantitative abdominal magnetic resonance imaging in children-special considerations. Abdominal Radiology. 2022; 47:3069-3077.
Myocardial Parametric Mapping by Cardiac Magnetic Resonance Imaging in Pediatric Cardiology and Congenital Heart Disease. Circulation: Cardiovascular Imaging. 2022; 15:e012242.
Agreement Between Automated and Clinically Reported Manual ROI-Based MR Elastography Liver Stiffness Measurements in Children and Young Adults. American Journal of Roentgenology. 2022; 218:163-164.