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Portrait of Babak Saboury
Babak Saboury, MD, MPH, DABR, DABNM

Lead Radiologist, Positron Emission Tomography/Magnetic Resonance Imaging (PET/MRI)
Chief Clinical Data Science Officer



MD, Tehran University of Medical Sciences
MPH, Tehran University of Medical Sciences


Email: babak.saboury@nih.gov
Phone: 301-827-2625

Portrait of Babak Saboury
Babak Saboury, MD, MPH, DABR, DABNM

Lead Radiologist, Positron Emission Tomography/Magnetic Resonance Imaging (PET/MRI)
Chief Clinical Data Science Officer


Radiology and Imaging Sciences


MD, Tehran University of Medical Sciences
MPH, Tehran University of Medical Sciences


Email: babak.saboury@nih.gov
Phone: 301-827-2625


Dr. Babak Saboury is a radiologist and nuclear medicine physician, dual-board certified by ABR and ABNM and board eligible in clinical informatics by ABPM with extensive clinical expertise in oncoradiology, particularly MRI and PET image interpretation, as well as targeted radionuclide therapy.


Dr. Saboury is a physician-scientist in the Department of Radiology and Imaging Sciences at the NIH Clinical Center. He joined the University of Pennsylvania (UPenn) in 2009 and during his four-year tenure there, he gained advanced expertise in modern molecular imaging with a focus on Positron Emission Tomography (PET) and novel quantitative techniques for the development of translational imaging biomarkers as the Director of the Quantitative Imaging Biomarker Laboratory of Abass Alavi.

In 2014, he joined The University of Maryland as a combined radiology and nuclear medicine track resident physician training with visionaries in both fields, Eliot Siegel and Vaskin Dilsizian, and stayed there as an attending radiologist and nuclear medicine physician until 2019 when he accepted his clinical appointment at the NIH.

His clinical residency at the University of Maryland exposed him to the full breadth and depth of clinical radiology and nuclear medicine sharpening his expertise and skills as a physician. This rigorous training prepared him to address the most complicated aspects of clinical radiology and nuclear medicine. On the other hand, working at UPenn with the world-renowned pioneers of molecular imaging and PET carefully attuned his scientific mind. He is the author of more than 60 peer-reviewed papers, with more than 100 presentations at national and international meetings. Dr. Saboury is a Professor of Computer Science and Electrical Engineering (adjunct) at the University of Maryland, Baltimore County (UMBC).

As an oncoradiologist, nuclear medicine and clinical informatics physician, he is the lead radiologist for PET/MRI and the Chief Clinical Data Science Officer for RADIS.

Major Areas of Research:

  • Immuno-Imaging, multi-modality image-based inflammation detection and quantification, translational novel PET tracer development, immunoPET,
  • Precision Targeted Radionuclide Therapy by Multiscale Dosimetry and Targeted Radionuclide Treatment planning (inSilico Lab),
  • Osteoradiomics: Bone imaging from photon-counting CT to 18F-NaF PET,
  • Radiophenomics: Imaging phenotype; discovering the hidden spatial pattern of pathologies (example of ongoing projects: Pheochromocytoma and Paraganglioma [PPGL], Erdheim-Chester Disease [ECD], Familial Tumoral Calcinosis [FTC]),
  • Clinical Informatics: Healthcare Systems Dynamic, Simulation and Modeling,
  • PET/MRI: motion resistant imaging and advanced quantification,
  • Imaging Biomarkers: Design, Development, Validation, and Implementation,
  • Critical appraisal of AI in medical imaging: metrology and beyond.

Peer-reviewed Articles

Saboury B, Morris MA, Farhadi F, Nikpanah M, Werner TJ, Jones EC, Alavi A. Reinventing Molecular Imaging with Total-Body PET, Part I: Technical Revolution in Evolution. PET Clin. 2020.

Saboury B, Morris MA, Nikpanah M, Werner TJ, Jones EC, Alavi A. Reinventing Molecular Imaging with Total-Body PET, Part II: Clinical Applications. PET Clin. 2020.

Saboury B, Morris MA, Borja AJ, Alavi A. The Future of PET-MR Imaging Beyond “PET plus MRI”: Initial Failure of Utilization Potential and Pathways to Success. Advances in Clinical Radiology. 2020.

Rice S, Saboury B (co-first author), Houshmand S, Salavati A, Kalbasi A, Goodman CR, Werner TJ, Vujaskovic Z, Simone CB, Alavi A. Quantification of global lung inflammation using volumetric 18F-FDG PET/CT parameters in locally advanced non-small-cell lung cancer patients treated with concurrent chemoradiotherapy: a comparison of photon and proton radiation therapy. Nuclear medicine communications. 2019.

Saboury B, Parsons MA, Moghbel M, Rubello D, Brothers A, Torigian DA, Werner TJ, Houshmand S, Basu S, Lam MG, Alavi A. Quantification of aging effects upon global knee inflammation by 18F-FDG-PET. Nucl Med Commun. 2016.

Saboury B, Salavati A, Brothers A, Basu S, Kwee TC, Lam MG, Hustinx R, Louis E, Torigian DA, Alavi A. FDG PET/CT in Crohn's disease: correlation of quantitative FDG PET/CT parameters with clinical and endoscopic surrogate markers of disease activity. Eur J Nucl Med Mol Imaging. 2014.

Torigian DA, Zaidi H, Kwee TC, Saboury B, Udupa JK, Cho ZH, Alavi A. PET/MR Imaging: Technical Aspects and Potential Clinical Applications. Radiology. 2013

Alavi A, Saboury B, Basu S. Imaging the infected heart. Sci Transl Med. 2011.

Basu S, Kwee TC, Torigian D, Saboury B, Alavi A. Suboptimal and inadequate quantification: an alarming crisis in medical applications of PET. Eur J Nucl Med Mol Imaging. 2011.

Book Chapters

Access to Imaging Technology in Global Health. Morris, M.A., Saboury, B. In “Radiology in Global Health”. Springer International Publishing, 2019. ISBN:978-3-319-98484-1.

Positron emission tomography: Blood flow and metabolic imaging. Shalini, N., Saboury, B., Newberg, A., Papanicolaou, A.C., and Alavi A. In “The Oxford Handbook of Functional Brain Imaging in Neuropsychology and Cognitive Neurosciences”. Oxford University Press, 2017.  ISNN: 0190621400.

Modern Quantitative Techniques for PET/CT/MR Hybrid Imaging. By Saboury, B., Moghbel, M., Basu, S., Alavi, A. In “Molecular Imaging”, 2012. ISBN: 978-953-51-0359-2


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This page last updated on 03/05/2021

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