The Christodoulou Laboratory develops and translates novel magnetic resonance imaging (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.
The Christodoulou Laboratory is supported by funding from the National Institute of Biomedical Imaging and Bioengineering and the National Heart, Lung, and Blood Institute—both of the National Institutes of Health. Interested graduate students and postdoctoral scientists are encouraged to investigate our work and contact us with inquiries about positions.
The Christodoulou Laboratory is affiliated with the Cedars-Sinai Biomedical Imaging Research Institute and the Department of Biomedical Sciences.
Our long-term research goal is to enable comprehensive quantification of multiple MR biomarkers in a single, short “push-button” scan that simultaneously quantifies multiple biomarkers—for any organ and for a wide range of diseases. Our first major step toward this goal, “MR Multitasking,” redesigns the quantitative MRI process to allow fast, accurate and repeatable motion-resolved quantitative imaging—enabling non-ECG, free-breathing quantification of multiple tissue parameters at once, even in the heart and abdomen."
Anthony G. Christodoulou, PhD
Breakthrough Research Areas
- Motion-resolved quantitative imaging
- Multiparameter mapping in the heart
- Multidimensional cancer imaging
- Physics-based deep learning image reconstruction
Meet Our Team
Learn more about the scientists, faculty members, investigators and other healthcare professionals of the Christodoulou Laboratory, whose dedicated efforts lead to groundbreaking discoveries.
Christodoulou AG, Shaw JL, Nguyen C, Yang Q, Xie Y, Wang N, Li D.
Nat Biomed Eng. 2018 Apr;2(4):215-226.
Shaw JL, Yang Q, Zhou Z, Deng Z, Nguyen C, Li D, Christodoulou AG.
Magn Reson Med. 2019 Apr;81(4):2450-2463.
Wang N, Gaddam S, Wang L, Xie Y, Fan Z, Yang W, Tuli R, Lo S, Hendifar A, Pandol S, Christodoulou AG, Li D.
Magn Reson Med. 2020 Aug;84(2):928-948.
Chen Y, Shaw JL, Xie Y, Li D, Christodoulou AG.
Med Image Comput Comput Assist Interv. 2019 Oct;11765:495-504.