World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
81
Citations
24586
World Ranking
492
National Ranking
168

Research.com Recognitions

  • 2020 - Fellow, National Academy of Inventors
  • 2017 - SPIE Fellow
  • 2012 - Member of the National Academy of Engineering For development of algorithms and technologies for MRI, CT, and hybrid X-ray/MRI imaging.
  • 2007 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Norbert J. Pelc is affiliated with Stanford University in the United States. Their research primarily spans the fields of Medicine and Engineering, with a strong interdisciplinary focus on Radiology, Nuclear Medicine and Imaging, and Biomedical Engineering. Additional areas of study include Pulmonary and Respiratory Medicine, Oral Surgery, and Radiation.

The scientist's work encompasses a range of topics within medical imaging, particularly relating to advanced X-ray and CT imaging, radiation dose management, and imaging techniques and applications. Key areas of focus are:

  • Advanced X-ray and CT Imaging
  • Radiation Dose and Imaging
  • Medical Imaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Digital Radiography and Breast Imaging
  • Dental Radiography and Imaging
  • Ultrasound and Hyperthermia Applications

Frequent publication venues for their work include:

  • Medical Physics
  • Journal of Medical Imaging
  • Medical Imaging 2022: Physics of Medical Imaging
  • Medical Imaging 2020: Physics of Medical Imaging
  • arXiv (Cornell University)

Norbert J. Pelc has collaborated extensively with several researchers, including:

  • Adam Wang
  • Sen Wang
  • Debashish Pal
  • Zhye Yin
  • Yirong Yang

Among notable recent publications are:

  • "Principles and applications of multienergy CT: Report of AAPM Task Group 291" (2020), Medical Physics
  • "How CT happened: the early development of medical computed tomography" (2021), Journal of Medical Imaging
  • "Spectral Photon Counting CT: Imaging Algorithms and Performance Assessment" (2020), IEEE Transactions on Radiation and Plasma Medical Sciences
  • "Acoustic Attenuation: Multifrequency Measurement and Relationship to CT and MR Imaging" (2020), IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
  • "A Methodology to Train a Convolutional Neural Network-Based Low-Dose CT Denoiser With an Accurate Image Domain Noise Insertion Technique" (2022), IEEE Access

The scientist has received several recognitions, including:

  • Fellow, National Academy of Inventors (2020)
  • SPIE Fellow (2017)
  • Member of the National Academy of Engineering (2012) for the development of algorithms and technologies for MRI, CT, and hybrid X-ray/MRI imaging
  • Fellow of the Indian National Academy of Engineering (INAE) (2007)

Best Publications

  • Photon-counting CT: Technical Principles and Clinical Prospects.

    Martin J. Willemink;Mats Persson;Amir Pourmorteza;Norbert J. Pelc

  • Generalized image combinations in dual KVP digital radiography.

    L. A. Lehmann;R. E. Alvarez;A. Macovski;W. R. Brody

  • Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL) : application with fast spin-echo imaging

    Scott B. Reeder;Angel R. Pineda;Zhifei Wen;Ann Shimakawa

  • Phase contrast cine magnetic resonance imaging.

    N J Pelc;R J Herfkens;A Shimakawa;D R Enzmann

  • Multicoil Dixon chemical species separation with an iterative least-squares estimation method.

    Scott B. Reeder;Zhifei Wen;Huanzhou Yu;Angel R. Pineda

  • Concomitant gradient terms in phase contrast MR: Analysis and correction

    Matt A. Bernstein;Xiaohong Joe Zhou;Jason A. Polzin;Kevin F. King

  • Encoding strategies for three‐direction phase‐contrast MR imaging of flow

    Norbert J. Pelc;Matt A. Bernstein;Ann Shimakawa;Gary H. Glover

  • Unaliasing by fourier-encoding the overlaps using the temporal dimension (UNFOLD), applied to cardiac imaging and fMRI.

    Bruno Madore;Gary H. Glover;Norbert J. Pelc

  • Time-resolved three-dimensional phase-contrast MRI.

    Michael Markl;Frandics P. Chan;Marcus T. Alley;Kris L. Wedding

  • Normal flow patterns of intracranial and spinal cerebrospinal fluid defined with phase-contrast cine MR imaging.

    D R Enzmann;N J Pelc

  • Rapid calculation of T1 using variable flip angle gradient refocused imaging.

    Evan K. Fram;Robert J. Herfkens;G.Allan Johnson;Gary H. Glover

  • Analysis of T2 limitations and off-resonance effects on spatial resolution and artifacts in echo-planar imaging

    Farhad Farzaneh;Stephen J. Riederer;Norbert J. Pelc

  • Comparison of linear and circular polarization for magnetic resonance imaging

    G.H Glover;C.E Hayes;N.J Pelc;W.A Edelstein

  • Quantitative magnetic resonance flow imaging.

    Pelc Nj;Sommer Fg;Li Kc;Brosnan Tj

  • AN ALGORITHM FOR THE REDUCTION OF METAL CLIP ARTIFACTS IN CT RECONSTRUCTIONS

    G. H. Glover;N. J. Pelc

  • An algorithm for the reduction of metal clip artifacts in CT reconstructions

    Gary H. Glover;Norbert J. Pelc

  • Brain motion : measurement with phase-contrast MR imaging

    D R Enzmann;N J Pelc

  • Noise Due to Photon Counting Statistics in Computed X-Ray Tomography

    David A. Chesler;Stephen J. Riederer;Norbert J. Pelc

  • The noise power spectrum in computed X-ray tomography.

    S J Riederer;Norbert J Pelc;D A Chesler

  • Field map estimation with a region growing scheme for iterative 3-point water-fat decomposition

    Huanzhou Yu;Scott B. Reeder;Ann Shimakawa;Jean H. Brittain

  • Time-resolved 3-dimensional velocity mapping in the thoracic aorta: visualization of 3-directional blood flow patterns in healthy volunteers and patients.

    Michael Markl;Mary T Draney;Michael D Hope;Jonathan M Levin

  • Cerebrospinal fluid flow measured by phase-contrast cine MR.

    Dieter R. Enzmann;Norbert J. Pelc

Frequent Co-Authors

Gary H. Glover
Gary H. Glover Stanford University
Rebecca Fahrig
Rebecca Fahrig Siemens Healthcare (United States)
Robert J. Herfkens
Robert J. Herfkens Stanford University
Michael Markl
Michael Markl Northwestern University
John M. Pauly
John M. Pauly Stanford University
Roland Bammer
Roland Bammer Monash University
Garry E. Gold
Garry E. Gold Stanford University
Sandy Napel
Sandy Napel Stanford University

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