Associate Professor of Radiology and Medical Imaging Associate Professor of Biomedical Engineering
Bio
B.S. Physics, Bombay University, 1990M.S. Physics, Bombay University, 1992Ph.D. Physics, Bhabha Atomic Research Center, 1998
"To develop quantitative cardiac PET imaging techniques to address metabolic remodeling in small animal models of myocardial injury & type 2 diabetes."
Bijoy Kumar Kundu, Associate Professor of Biomedical Engineering
Bijoy K. Kundu, PhD, is an Associate Professor in the tenure track in the department of Radiology and Medical Imaging at the University of Virginia, Charlottesville. After completing his PhD in Nuclear Physics from the Bhabha Atomic Research Center, India, he pursued his post-doctoral work at the Indian Institute of Technology, Kanpur, India. He then moved to the Department of Radiology, University of Virginia, as a post-doctoral associate and moved up the faculty ranks. Dr. Kundu is a member of many scientific societies and reviewer of a number of peer-reviewed journals. The goals of his lab are to develop and optimize quantitative cardiac PET imaging techniquesto address the hypothesis of metabolic remodeling in small animal modelsof myocardial injury and type 2 diabetes. His lab is currently funded by a grant from the National Institutes of Health.
Research Interests
Medical and Molecular Imaging
Cardiovascular Engineering
Selected Publications
Noninvasive Detection of Early Metabolic Left Ventricular Remodeling in Systemic Hypertension. Cardiology 2016; 133(3):157-162. *corresponding author. PMC4677787 ABSHamirani Y, Kundu BK*, Zhong M,...,Taegtmeyer H, Bourque J.
Determination of Fatty Acid Metabolism with Dynamic [11C]Palmitate Positron Emission Tomography of Mouse Heart In Vivo. Mol Imaging. 2015 Sep 1;14:516-25. PMID 26462138. *corresponding author. PMC4625801 ABSLi Y, Huang T, Zhang X, Zhong M, He J, Keller S, Berr S, Kundu BK*
PET imaging detection of macrophages with a formyl peptide receptor antagonist. Nucl Med Biol. 2015 Apr;42(4):381-6. PMC4405787 ABSZhang Y, Kundu BK, Zhong M, Huang T, Li J, Chordia MD, Chen MH, Pan D, He J, Shi W
Remodeling of glucose metabolism precedes pressure overload-induced left ventricular hypertrophy: review of a hypothesis. Cardiology. 2015;130(4):211-20. PMC4394867. ABSKundu BK, Zhong M, Sen S, Davogustto G, Keller SR, Taegtmeyer H*,*corresponding author.
Myocardial Metabolic Remodeling in Hypertension Induced Left Ventricular Hypertrophy, Abstract, J Am Coll Cardiol 2014 April; 62(12):A1011. Hamirani, Y, Zhong M, McBride A, Bourque J, Kundu BK*, *corresponding author.
Glucose regulation of load-induced mTOR signaling and ER stress in mammalian heart. J Am Heart Assoc. 2013 May 17;2(3):e004796. PMC3698799. ABSSen S, Kundu BK*, Wu HC*, Hashmi SS, Guthrie P, Locke LW, Matherne GP, Berr SS, Terwelp M, Scott B, Carranza S, Frazier H, Glover DK, Dillman WH, Gambello MJ, Entman ML,Taegtmeyer H
Quantitative PET imaging detects early metabolic remodeling in a mouse model of pressure-overload left ventricular hypertrophy in vivo. J Nucl Med 2013 April;54(4):609-15. PMC3727159. ABSZhong M, Alonso CE, Taegtmeyer H, Kundu BK.
Optimization of a Model Corrected Blood Input Function from Dynamic FDG-PET Images of Small Animal Heart In Vivo. IEEE Trans Nucl Sci. 2013 October; 60(5):3417-3422. PMC3985393. ABSZhong M, Kundu BK
FDG-PET Quantification of Lung Inflammation with Image-Derived Blood Input Function in Mice. Int J Mol Imag, Volume 2011, Article ID 356730, Epub 2011, Dec 10, 2011. PMC3236466. Locke LW, Williams MB, Fairchild KD, Zhong M, Kundu BK, Berr SS.
Image-derived input function from cardiac gated maximum a posteriori reconstructed PET images in mice. Mol Imag Biol. 2011 Apr;13(2):342-347. PMC303677 ABSLocke LW, Berr SS, Kundu BK
Development of improved methods for quantification of metabolism and blood flow from dynamic PET images of rodent and human heart in vivo.
Determine the time course of metabolic alterations in the SHR hearts and relate them to the development of LVH and HF using dynamic PET imaging and kinetic modeling in conjunction with MRI and molecular and metabolic analyses.
Development of novel methods for improved demonstration of function brain abnormalities from dynamic FDG PET images of human brain using kinetic modeling.
Development of algorithms for automatic segmentation of breast lesions based on ANN from dynamic images obtained using a dedicated breast PET scanner.