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Radiology and Medical Imaging Research

Bijoy Kundu, PhD

Kundu_Big_Profile3

Bijoy Kundu, PhD

Associate Professor of Radiology and Medical Imaging, Biomedical Engineering
Faculty, Cardiovascular Research Center

BSc, Physics, Bombay University, India, 1990
MSc, Physics, Bombay University, India,  1992
PhD, Physics, Bhabha Atomic Research Center, Mumbai, India, 1998

University of Virginia
Department of Radiology and Medical Imaging
Fontaine Research Park
480 Ray C. Hunt Dr., Rm 183
Charlottesville, VA  22903

bkk5a@virginia.edu
Office Phone: 434-924-0284
Fax: 434-924-9435

Dr. Kundu is currently recruiting graduate students to work in his lab; for more information, contact Dr. Kundu at bkk5a@Virginia.edu.

Research Interests

The general goal of my laboratory is the development and application of novel Positron Emission Tomography (PET) imaging and quantification methods for non-invasive evaluation of metabolism and blood flow from time-resolved PET images of rodent heart in vivo. Imaging the rodent heart is challenging due to the small size of the heart and the limited spatial intrinsic resolution of the microPET scanner. This results in severe partial volume averaging (PV) and spill-over (SP) of radioactivity from the LV blood pool to the myocardium at the early time points and vice-versa at the late time points in a dynamic PET scan of the rodent heart. Rapid heart motion results in further image blur confounding the effects of SP contamination in the image-derived blood input function.

My laboratory focuses on the development of multi-parameter compartment models for simultaneous estimation of the blood input function with SP and PV corrections and the kinetic parameters from dynamic PET images of the heart, for quantifying myocardial glucose (using 18F-FDG) and fatty-acid (using 11C-Palmitate) metabolism and blood flow (using 13N-ammonia) in vivo.  In collaboration with a number of investigators in the School of Medicine at the University of Virginia and University of Texas in Houston, we have assembled a strong team to evaluate the time course of metabolic alterations in the hearts of spontaneously hypertensive rats (SHR) and relate these changes to the development of LVH and HF using advanced PET and MR imaging in vivo and ex vivo molecular and metabolic analysis in conjunction with hemodynamic measurements. The work in my laboratory is funded by the National Institute of Health’s National Heart Lung and Blood Institute.

In addition, my laboratory is also collaborating with faculties in the Departments of Radiology and Neurology at UVA in the development of novel strategies for improved demonstration of functional brain abnormalities from dynamic FDG PET images of human brain using kinetic modeling.

We are also collaborating with faculties in the Department of Radiology at UVA and a group in Spain (Oncovision Inc and ERESA hospital in Valencia), in the development of novel algorithms for automatic segmentation of cancerous breast lesions from the background based on artificial neural networks (ANN) from dynamic FDG breast PET images.

Current Projects
  • 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

More details

Research Labs

Noninvasive Cardiovascular Imaging

In the News

Headed for a Dangerous Change of Heart? Emerging Science seeks to better understand how to prevent irreversible heart damage.

Medical School Researchers Awarded $1.9 Million to Study Heart Failure

Sugar and the Heart

Do Hearts Fail Because They’re Hooked on Blood Sugar?

CV

CV-Bijoy Kumar Kundu (PDF)

Publications
Click here for an updated list of Dr. Kundu’s Google Citations.

  1. Wilde JH, Sun YY, Simpson SR, Hill ER, Fu Z, Bian EJ, Kinkaid MM, Villanueva P, Weybright AF, Terrell WR, Qureshi Z, Perera SS, Sheppard HS, Stone JR, Kundu BK, Kuan CY, Neumann KD. A positron emission tomography tracer for the imaging of oxidative stress in the central nervous system. Nat Biomed Eng. 2025 Mar 5.
  2. Rugved Chavan, Gabriel Hyman, Zoraiz Qureshi, Nivetha Jayakumar, William Terrell, Megan Wardius, Stuart Berr, David Schiff, Nathan Fountain, Thomas Eluvathingal Muttikkal, Mark Quigg, Miaomiao Zhang and Bijoy K Kundu. An end-to-end deep learning pipeline to derive blood input with partial volume corrections for automated parametric brain PET mapping. IOPscience, 2024.
  3. Jordan N Reed, Faten Hasan, Abhishek Karkar, Dhanush Banka, Jameson Hinkle, Preeti Shastri, Navya Srivastava, Steven C Scherping, Sarah E Newkirk, Heather A Ferris, Bijoy K Kundu, Sibylle Kranz, Mete Civelek, Susanna R Keller. Combined effects of genetic background and diet on mouse metabolism and gene expression. iScience, 2024.
  4. William Terrell, Bijoy Kundu. Determination of unscaled Ki without blood input for human dynamic FDG brain PET. World Molecular Imaging Congress, 2024.
  5. Rugved Sanjay Chavan, Bijoy Kundu. AI framework with 3D CNN-assisted UNETR and RNN for blood input compute with partial volume corrections for automated parametric FDG brain PET mapping. World Molecular Imaging Congress, 2024.
  6. Bijoy Kundu, William Terrell, Zoraiz Qureshi, Rugved Chavan, Sohil Patel, Prem Batchala, Stuart Berr, Shayan Moosa, Mark Quigg, Benjamin Purow, Thomas Eluvathingal Muttikkal and David Schiff. Dynamic FDG PET for multimodal classification of tumor progression from treatment effect in human glioblastoma: Regression, Radiomics and Deep learning. Journal of Nuclear Medicine June 2024, 65 (supplement 2) 241157.
  7. Bijoy Kundu, William Terrell, Rugved Chavan, Megan Wardius, Stuart Berr, Nathan Fountain, Thomas Eluvathingal Muttikkal and Mark Quigg. Interictal dynamic FDG PET in focal epilepsy. Journal of Nuclear Medicine June 2024, 65 (supplement 2) 241167
  8. Ishaque, M., Moosa, S., Urban, L., Kundu, B., Qureshi, Z., Spears, T., Fletcher, P. T., Donahue, J., Patel, S. H., Goldstein, R. B., Finan, P. H., Liu, C., & Elias, W. J. (2024). Bilateral focused ultrasound medial thalamotomies for trigeminal neuropathic pain: a randomized controlled study. Journal of Neurosurgery, 140(6), 1799-1809.
  9. Moosa S, Ramanathan P, Qureshi Z, Kundu B, Quigg M. P15.17.B DYNAMIC FDG PET AS A PREDICTOR OF SURVIVAL IN PATIENTS WITH GLIOMAS. Neuro Oncol. 2023 Sep 8;25(Suppl 2):ii113–4. PMCID: PMC10489548.
  10. Quigg, M. and Kundu, B. (2022), Dynamic FDG-PET demonstration of functional brain abnormalities. Ann Clin Transl Neurol, 9: 1487-1497. https://doi.org/10.1002/acn3.51546
  11. Zoraiz Qureshi, Huayi Peng, Miaomiao Zhang and Bijoy Kundu. Machine learning derived model corrected blood input function from dynamic FDG PET images of rat heart. Journal of Nuclear Medicine August 2022, 63 (supplement 2) 3229.
  12. Yinlin Li and Bijoy K Kundu 2018. An improved optimization algorithm of the three-compartment model with spillover and partial volume corrections for dynamic FDG PET images of small animal hearts in vivo. Phys. Med. Biol. 63 055003
  13. Hamirani Y, Kundu BK*, Zhong M,…,Taegtmeyer H, Bourque J. Noninvasive Detection of Early Metabolic Left Ventricular Remodeling in Systemic Hypertension.  Cardiology  2016; 133(3):157-162. *corresponding author. PMC4677787.
  14. Li Y, Huang T, Zhang X, Zhong M, He J, Keller S, Berr S, Kundu BK*, 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.
  15. Zhang Y, Kundu BK, Zhong M, Huang T, Li J, Chordia MD, Chen MH, Pan D, He J, Shi W, PET imaging detection of macrophages with a formyl peptide receptor antagonist. Nucl Med Biol. 2015 Apr;42(4):381-6. PMC4405787.
  16. Kundu BK, Zhong M, Sen S, Davogustto G, Keller SR, Taegtmeyer H*, Remodeling of glucose metabolism precedes pressure overload-induced left ventricular hypertrophy: review of a hypothesis. Cardiology. 2015;130(4):211-20. PMC4394867. *corresponding author.
  17. Hamirani, Y, Zhong M, McBride A, Bourque J, Kundu BK*, Myocardial Metabolic Remodeling in Hypertension Induced Left Ventricular Hypertrophy, Abstract, J Am Coll Cardiol 2014 April; 62(12):A1011.http://content.onlinejacc.org/article.aspx?articleid=1856118.*corresponding author.
  18. Sen 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, Glucose regulation of load-induced mTOR signaling and ER stress in mammalian heart. J Am Heart Assoc. 2013 May 17;2(3):e004796. PMC3698799. *equal contribution
  19. Zhong M**, Alonso CE, Taegtmeyer H, Kundu BK*. 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. *corresponding author. **First author publication by Min Zhong, PhD who was a graduate student in the Kundu lab.
  20. Zhong M**, 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. *corresponding author. **First author publication by Min Zhong, PhD,  who was a graduate student in the Kundu lab.
  21. Locke LW, Williams MB, Fairchild KD, Zhong M, Kundu BK, Berr SS, 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.
  22. Locke LW**, Berr SS, Kundu BK*, 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.*corresponding author. **Co-advised Landon Locke, PhD, Graduated in 2011.
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