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Damini Dey, PhD

Director, Quantitative Image Analysis Lab, Biomedical Imaging Research Institute

Technical Co-Director, PET/MR Services in the Biomedical Imaging Research Institute

Associate Professor, Biomedical Sciences

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310-423-1517

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310-423-8396

Damini Dey, PhD

Director, Quantitative Image Analysis Lab, Biomedical Imaging Research Institute

Technical Co-Director, PET/MR Services in the Biomedical Imaging Research Institute

Associate Professor, Biomedical Sciences

Quantitative noninvasive cardiac imaging. Machine learning integration of imaging biomarkers. Automated coronary artery analysis from cardiac CT - measurement of total plaque burden and epicardial fat burden. Automated derivation of imaging measures from cardiac images. Improving image quality and image acquisition techniques, and reducing radiation dose in cardiac CT and cardiac PET-CT.

  • Undergraduate: University of Saskatchewan, 1988
  • Master's: University of Calgary, 1992
  • Doctorate: University of Calgary, 1998
  • Post Doctorate: Robarts Research Institute, 2000
  • Faculty 1000, Associate Faculty Member, 2011
  • Faculty Speaker at Nuclear Cardiology and CT Case Review with Experts, 2011
  • Faculty Speaker, Society of Cardiovascular CT Annual Meeting, 2010
  • Fellow, Society of Cardiovascular CT, 2010
  • Society of Cardiovascular CT Basic Sciences and Emerging Technologies Committee, 2010
  • Graduate Research Scholarship, Department of Physics, University of Calgary, Canada, 1998

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Click here for a list of peer-reviewed publications.

  • Motwani M, Dey D, Berman DS, Germano G, Achenbach S, Al-Mallah MH, Andreini D, Budoff MJ, Cademartiri F, Callister TQ, et al. Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis. Eur Heart J. 2017 Feb 14;38(7):500-507.
  • Diaz-Zamudio M, Fuchs TA, Slomka PJ, Arsanjani R, Gransar HG, Germano G, Berman DS, Kaufmann PA, Dey D. Quantitative plaque features from coronary CT Angiography to identify regional ischemia by Single Photon Emission Computed Tomography. Eur Heart J Cardiovasc Imaging. 2017 May 1;18(5):499-507.
  • Hell M, Motwani M, Otaki Y, Cadet S, Gransar H, Miranda-Peats R, Valk J, Slomka PJ, Cheng VY, Rozanski A, Tamarappoo BK, Hayes S, Achenbach S, Berman DS, Dey D. Quantitative global plaque characteristics from coronary computed tomography angiography for the prediction of future cardiac mortality during long-term follow-up. Eur Heart J Cardiovasc Imaging. 2017.
  • Cheng VY, Dey D, Tamarappoo B, Nakazato R, Gransar H, Miranda-Peats R, Ramesh A, Wong ND, Shaw LJ, Slomka PJ, et al. Pericardial fat burden on ECG-gated noncontrast CT in asymptomatic patients who subsequently experience adverse cardiovascular events. JACC Cardiovasc Imaging. 2010 Apr;3(4):352-360.
  • Doris MK, Rubeaux M, Pawade T, Otaki Y, Xie Y, Li D, Tamarappoo BK, Newby D, Berman DS, Dweck MR, Slomka PJ, Dey D. Motion-corrected imaging of the aortic valve with 18F-NaF PET/CT and PET/MR: a feasibility study. J Nucl Med. 2017 May 25. [Epub ahead of print]
  • Dey D, Schepis T, Marwan M, Slomka PJ, Berman DS, Achenbach S. Automated three-dimensional quantification of noncalcified coronary plaque from coronary CT angiography: comparison with intravascular US. Radiology. 2010 Nov;257(2):516-522.

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