Anthony Christodoulou, PhD

About

Prof. Christodoulou received his Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign (UIUC) and B.S. and M.S. degrees in Electrical Engineering from the University of Southern California (USC). Before joining the UCLA Department of Radiological Sciences in 2023, he was faculty in Medicine and Bioengineering at UCLA, as well as Associate Professor of Biomedical Sciences and Director of Magnetic Resonance Technology Innovations at Cedars-Sinai Medical Center (CSMC).

Dr. Christodoulou's lab develops and translates novel MRI techniques through innovations in MR physics, machine learning, and image reconstruction. Our primary focus is on multidimensional quantitative imaging methods for the diagnosis, risk prediction, and treatment monitoring of cardiovascular diseases and cancer.

Education and Degree(s)

Ph.D. in Electrical and Computer Engineering
- University of Illinois at Urbana-Champaign (UIUC)
M.S. in Electrical Engineering
- University of Southern California (USC)
B.S. in Electrical Engineering
- University of Southern California (USC)

Publications

For a complete list of publications, please refer to Google Scholar, PubMed, or Dimensions.

Christodoulou AG, Shaw JL, Nguyen C, Yang Q, Xie Y, Wang N, Li D.
Magnetic resonance multitasking for motion-resolved quantitative cardiovascular imaging.
Nature Biomed Eng. 2018 Apr;2(4):215-226.
Shaw JL, Yang Q, Zhou Z, Deng Z, Nguyen C, Li D, Christodoulou AG.
Free-breathing, non-ECG, continuous myocardial T1 mapping with cardiovascular magnetic resonance multitasking.
Magn Reson Med. 2019 Apr;81(4):2450-2463.
Chen Y, Shaw JL, Xie Y, Li D, Christodoulou AG.
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 and Comput Assist Interv (MICCAI), 2019;11765:495-504.
Christodoulou AG, Lingala SG.
Accelerated dynamic magnetic resonance imaging using learned representations: A new frontier in biomedical imaging.
IEEE Signal Process Mag. 2020 Jan;37(1):83-93.
Ma S, Nguyen C, Han F, Deng Z, Binesh N, Moser F, Christodoulou AG†, Li D†.
Three-dimensional simultaneous brain T1, T2, and ADC mapping with MR Multitasking.
Magn Reson Med. 2020 Jul;84(1):72-88. †Contributed equally.
Wang N, Gaddam S, Wang L, Xie Y, Fan Z, Yang W, Tuli R, Lo S, Hendifar A, Pandol S, Christodoulou AG†, Li D†.
Six‐dimensional quantitative DCE MR Multitasking of the entire abdomen: Method and application to pancreatic ductal adenocarcinoma.
Magn Reson Med. 2020 Aug;84(2):928-948. †Contributed equally.
Han P, Zhang R, Wagner S, Xie Y, Cingolani E, Marbán E, Christodoulou AG†, Li D†.
ECG-less, free-breathing myocardial ECV mapping in small animals at high heart rates using motion-resolved CMR multitasking: a feasibility study in a HFpEF rat model.
J Cardiovasc Magn Reson. 2021 Feb;23:8. †Contributed equally.
Ma S, Wang N, Fan Z, Kaisey M, Sicotte NL, Christodoulou AG†, Li D†.
Three‐dimensional whole‐brain simultaneous T1, T2, and T1ρ quantification using MR Multitasking: Method and initial clinical experience in tissue characterization of multiple sclerosis.
Magn Reson Med. 2021 Apr;85(4):1938-1952. †Contributed equally.
Wang N, Xie Y, Fan Z, Ma S, Saouaf R, Guo Y, Shiao SL, Christodoulou AG†, Li D†.
Five‐dimensional quantitative low‐dose Multitasking dynamic contrast-enhanced MRI: Preliminary study on breast cancer.
Magn Reson Med. 2021 Jun;85(6):3096-3111. †Contributed equally.
Serry FM, Ma S, Mao X, Han F, Xie Y, Han H, Li D, Christodoulou AG.
Dual flip-angle IR-FLASH with spin history mapping for B1+ corrected T1 mapping: Application to T1 cardiovascular magnetic resonance multitasking.
Magn Reson Med. 2021 Dec;86(6):3182-3191.
Ma S, Wang N, Xie Y, Fan Z, Li D, Christodoulou AG.
Motion-robust quantitative multiparametric brain MRI with motion-resolved MR multitasking.
Magn Reson Med. 2022 Jan;87(1):102-119.
Wang N, Cao T, Han F, Xie Y, Zhong X, Ma S, Kwan A, Fan Z, Han H, Bi X, Noureddin M, Deshpande V, Christodoulou AG†, Li D†.
Free-breathing multitasking multi-echo MRI for whole-liver water-specific T1, proton density fat fraction, and R2* quantification.
Magn Reson Med. 2022 Jan;87(1):120-137. †Contributed equally.
Cao T, Ma S, Wang N, Gharabaghi S, Xie Y, Fan Z, Hogg E, Wu C, Han F, Tagliati M, Haacke EM, Christodoulou AG†, Li D†.
Three-dimensional simultaneous brain mapping of T1, T2, T2* and magnetic susceptibility with MR Multitasking.
Magn Reson Med. 2022 Mar;87(3):1375-1389. †Contributed equally.
Mao X, Lee H-L, Hu Z, Cao T, Han F, Ma S, Serry FM, Fan Z, Xie Y, Li D, Christodoulou AG.
Simultaneous multi-slice cardiac MR Multitasking for motion-resolved, non-ECG, free-breathing T1–T2 mapping.
Front Cardiovasc Med. 2022 Mar;9:833257.
Chen Z, Xie Y, Li D, Christodoulou AG.
Data-Consistent non-Cartesian deep subspace learning for efficient dynamic MR image reconstruction.
IEEE Int Symp Biomed Imaging (ISBI), 2022.
Han P, Cheema K, Lee H-L, Zhou Z, Cao T, Ma S, Wang N, Han H, Christodoulou AG†, Li D†.
Whole-brain steady-state CEST at 3 T using MR Multitasking.
Magn Reson Med. 2022 May;87(5):2363-2371. †Contributed equally.
Han P, Chen J, Xiao J, Han F, Hu Z, Yang W, Cao M, Ling DC, Li D, Christodoulou AG†, Fan Z†.
Single projection driven real-time multi-contrast (SPIDERM) MR imaging using pre-learned spatial subspace and linear transformation.
Phys Med Biol. 2022 Jun;67(13):135008. †Contributed equally.
Cao T, Wang N, Kwan AC, Lee H-L, Mao X, Xie Y, Nguyen K-L, Colbert CM, Han F, Han P, Han H, Christodoulou AG†, Li D†.
Free-breathing, non-ECG, simultaneous myocardial T1, T2, T2*, and fat-fraction mapping with motion-resolved cardiovascular MR multitasking.
Magn Reson Med. 2022 Oct;88(4):1748-1763. †Contributed equally.
Han P, Cheema K, Cao T, Lee H-L, Han F, Wang N, Han H, Xie Y, Christodoulou AG†, Li D†.
Free-breathing 3D CEST MRI of human liver at 3.0 T.
Magn Reson Med. 2023 Feb;89(2):738-745. †Contributed equally.
Sheagren CD, Cao T, Patel JH, Chen Z, Lee H-L, Wang N, Christodoulou AG, Wright GA.
Motion-compensated T1 mapping in cardiovascular magnetic resonance imaging: a technical review.
Front Cardiovasc Med. 2023 Sept;10:1160183.
Chen Z, Stapleton MC, Xie Y, Li D, Wu YL†, Christodoulou AG†.
Physics-informed deep learning for T2-deblurred superresolution turbo spin echo MRI.
Magn Reson Med. 2023 Dec;90(6):2362-2374. †Contributed equally.
Christodoulou AG, Cruz G, Arami A, Weingärtner S, Artico J, Peters D, Seiberlich N.
The future of cardiovascular magnetic resonance: All-in-one vs. real-time (Part 1).
J Cardiovasc Magn Reson. 2024 Jun;26(1):100997.
Cao T, Hu Z, Mao X, Chen Z, Kwan AC, Xie Y, Berman DS, Li D, Christodoulou AG.
Alternating low-rank tensor reconstruction for improved multiparametric mapping with cardiovascular MR Multitasking.
Magn Reson Med. 2024 Oct;92(4):1421-1439.
Hu Z, Chen Z, Cao T, Lee H-L, Xie Y, Li D, Christodoulou AG.
Generalizable, sequence-invariant deep learning image reconstruction for subspace-constrained quantitative MRI.
Magn Reson Med. 2025 Jul;94(1):89-104.
Chen Z, Hu Z, Xie Y, Li D, Christodoulou AG.
Repeatability-encouraging self-supervised learning reconstruction for quantitative MRI.
Magn Reson Med. 2025 Aug;94(2):797-809.
Mao X, Chen Z, Hu Z, Lee H-L, Kwan AC, Cokic I, Cao T, Han F, Xie Y, Li D, Christodoulou AG.
All-in-one cardiac MRI: Unified non-contrast-enhanced and contrast-enhanced imaging for a continuous-acquisition examination.
Radiol Cardiothorac Imaging. 2025 Oct;7(5):e240383.

Honors and Awards

Fellow, Society for Cardiovascular Magnetic Resonance (SCMR), 2022
Clinical Seed Grant Winner, Society for Cardiovascular Magnetic Resonance (SCMR), 2018
Early Career Award Finalist (Translational), Society for Cardiovascular Magnetic Resonance (SCMR), 2017
E. James Potchen Award for Best Oral Presentation, Society for Magnetic Resonance Angiography (SMRA), 2016
Best Paper Award, IEEE Engineering in Medicine and Biology Conference (EMBC), 2011