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Contact Information

Ran Klein, PhD


ORCID logo https://orcid.org/0000-0002-4357-3779

Ran Klein

Clinician Investigator, Clinical Epidemiology Program
Ottawa Hospital Research Institute
Imaging Physicist, Nuclear Medicine
The Ottawa Hospital
Assistant Professor, Department of Medicine
University of Ottawa
Adjunct Professor, Department of Systems and Computer Engineering
Carleton University
Adjunct Professor, Department of Physics
Carleton University

Research Interests

Medical imaging with the a focus on:
  • Image segmentation
  • Automatic lesion detection
  • PET lesion synthesis
  • Image perception
  • Quantification of physiologic function using dynamic imaging
  • Motion detection and correction
  • Quantitative SPECT
Now Hiring graphic Now hiring Master's, Doctorate and Post-Doctorate trainees with experience and interest in medical imaging, machine learning, PET, software development and psychophysics. If interested please reach out by mail with a personalized statement of interest.

Specific opportunities:
   - Sept 2022 - Predicting Kidney Failure in the Chronic Kidney Disease Clinic

Brief Biography

Ran Klein holds a PhD in Electrical Engineering and is Imaging Physicist at The Ottawa Hospital, Department of Nuclear Medicine. He was previously a Research Associate at the University of Ottawa Heart Institute, National Cardiac PET Centre, where he also managed the Cardiac Imaging Core Lab. He has over 15 years research experience in Nuclear Medicine that produced over 100 publications and abstracts. His research is focused on extracting quantitative, physiologic information from cardiac images. His greatest impact has been on quantification of myocardial blood flow using rubidium-82 positron emission tomography which is applied clinically internationally. His research has resulted in commercially available software for image analysis (FlowQuant). Ran’s work on an automated rubidium-82 infusion system is currently being commercialized by Jubilant-DraxImage, Montreal, Quebec. His current interests include quantitative medical imaging and computer aided diagnosis. He is an assistant professor at the University of Ottawa, Department of Medicine, and is also an adjunct professor at Carleton University, Department of Systems and Computer Engineering and at the Department of Physics.  

Selected Publications

  1. Salman O*, Klein R, Anatomical Region Identification in Medical x-ray Computed Tomography (CT) Scans: Development and Comparison of Alternative Data-Analysis and Vision-Based Methods, Neural Computing and Applications [Online First 2020]
  2. Gabrani-Juma H*, Zuckier LS, Klein R, Development and validation of the Lesion Synthesis Toolbox and the Perception Study Tool for quantifying observer limits-of-detection of lesions in positron emission tomography, J Med Imaging, [Online First 2020]
  3. Manwell S*, Klein R, Xu To, deKemp RA, Clinical comparison of the Positron Emission Tracking (PeTrack) algorithm with the Real-Time Position Management System for respiratory gating in cardiac positron emission tomography, Med Phys, [In Press 2020].
  4. Currie G, Hawk KE, Rohrer E, Vial A, Klein R, Machine Learning and Deep Learning in Medical Imaging: Intelligent Imaging, J Med Image and Rad Sci, 2019;450(4):477-87.
  5. Klein R, Razavi S*, Memon R*, Zuckier L, An electronic 99mTc-DTPA Glomerular Filtration Rate spreadsheet with novel embedded quality assurance features, Nuc Med Comm. 2019;40(1):30-40.
  6. Ocneanu A*, deKemp R, Renaud JM, Adler A, Beanlands RSB, Klein R, Optimally repeatable kinetic model variant for myocardial blood flow measurements with 82Rb PET. Computational and Mathematical Methods in Nuclear Medicine, 2017: 6810626, 11 pages.
  7. Klein R, Ocneanu A*, Renaud JM, Ziadi MC, Beanlands RSB, deKemp RA, Consistent tracer administration profile improves test-retest repeatability of myocardial blood flow quantification with 82Rb dynamic PET imaging, J Nucl Cardiol, [In press].
  8. Gabrani-Juma H*, Clarkin OJ, Pourmoghaddas A, Driscoll B, Wells RG, deKemp RA, Klein R, Validation of a multimodality flow phantom and its application for assessment of dynamic SPECT and PET technologies, IEEE-Trans Med Imag, 2017;36(1):132-41.
  9. Hunter CRRN, Klein R, Beanlands RS, deKemp RA, Patient Body Motion Effects on the Quantification of Regional Myocardial Blood Flow with Dynamic PET Imaging, Med Phys, 2016;43(4):1829-40.
  10. deKemp RA, Renaud JM, Klein R, Beanlands RS, Radionuclide tracers for myocardial perfusion imaging and blood flow quantification. Cardiol Clinics, 2016;34(1):37-46.
  11. Wells RG, Timmins R, Klein R, Lockwood J, Marvin B, deKemp RA, Wei L, Ruddy TD, Dynamic SPECT measurement of absolute myocardial blood flow in a porcine model, J Nucl Med, 2014;55(10):1685-91.
  12. Klein R, Hung G-U, Wu T-C, Li D, deKemp RA, Hsu B, Feasibility and Operator Variability of Myocardial Blood Flow and Reserve Measurements with 99mTc-Sestamibi Quantitative Dynamic SPECT-CT Imaging. J. Nucl. Cardiol., 2014;21(6):1075-88.
  13. Klein R, Beanlands RS, Wassenaar RW, Thorn S, Lamoureux M, DaSilva JN, Adler A, deKemp RA, Kinetic model based factor analysis of dynamic sequences of cardiac positron emission tomography. Med. Phys., 2010;37(8):3995-4010.
  14. Klein R, Adler A, Beanlands RS, deKemp RA, Precision-controlled elution of a 82Sr/82Rb generator for cardiac perfusion imaging with positron emission tomography. Phys. Med. Biol., 2007;52(3):659-673.

Diseases, conditions and populations of interest

Research and clinical approaches