Anthony G. Christodoulou, PhD

Assistant Professor, Biomedical Sciences

Anthony G. Christodoulou, PhD

Phone:

310-423-6754

Anthony G. Christodoulou, PhD

Assistant Professor, Biomedical Sciences

Professor Anthony G. Christodoulou’s research focus is on magnetic resonance imaging (MRI) physics and image reconstruction, particularly quantitative imaging for cardiovascular and cancer applications. He has authored publications in outlets including Nature Biomedical Engineering, Magnetic Resonance in Medicine, IEEE Signal Processing Magazine, and IEEE Transactions on Medical Imaging. His work on 4D cardiovascular MR (CMR) received the best paper award at the 2011 IEEE Engineering in Medicine and Biology Conference; his recent work on multidimensional quantitative cardiovascular imaging, dubbed MR Multitasking, received the 2016 Society for MR Angiography Best Oral Presentation Award, was a finalist for the 2017 Society for CMR (SCMR) Early Career Award, and received the 2018 SCMR Clinical Seed Grant Award.

  • Undergraduate: University of Southern California, 2008
  • Master's: University of Southern California, 2009
  • Doctorate: University of Illinois at Urbana-Champaign, 2015
  • Imaging
  • Biomedical Imaging Research Institute
  • Clinical Seed Grant Winner, Society for Cardiovascular Magnetic Resonance, 2018
  • Early Career Award Finalist (Translational), Society for Cardiovascular Magnetic Resonance, 2017
  • E. James Potchen Award for Best Oral Presentation, Society for Magnetic Resonance Angiography, 2016
  • Predoctoral Fellowship, American Heart Association, 2011
  • Best Paper Award, IEEE Engineering in Medicine and Biology Conference, 2011

Click here for a list of peer-reviewed publications.

  • AG Christodoulou, JL Shaw, C Nguyen, Q Yang, Y Xie, N Wang, D Li. Magnetic resonance multitasking for motion-resolved quantitative cardiovascular imaging. Nature Biomed Eng. 2018;2(4):215–26. https://doi.org/10.1038/s41551-018-0217-y.
  • JL Shaw, Q Yang, Z Zhou, Z Deng, C Nguyen, D Li, AG Christodoulou. Free-breathing, non-ECG, continuous myocardial T1 mapping with cardiovascular magnetic resonance multitasking. Magn Reson Med. 2019;81(4):2450–63. https://doi.org/10.1002/mrm.27553.
  • Y Chen, JL Shaw, Y Xie, D Li, AG Christodoulou. Deep learning within a priori temporal feature spaces for large-scale dynamic MR image reconstruction: Application to 5-D cardiac MR Multitasking. Med Image Comput Comput Assist Interv. 2019;11765:495–504. https://doi.org/10.1007/978-3-030-32245-8_55

English

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