Welcome to the Computational Imaging Science Laboratory!


The Computational Imaging Science Laboratory (CISL) performs research in computational and theoretical image science and pursues the advancement of emerging imaging methods.

Our research is helping to establish a diverse range of emerging computed imaging modalities that include X-ray phase-contrast imaging, photoacoustic tomography, X-ray computed tomography, and ultrasound tomography.  We are also working to advance imaging science through the integration of data-driven, machine learning, and physics-based approaches for image formation, image quality assessment, and imaging system optimization. These projects address important needs in clinical medicine and basic biomedical research, such as improved imaging methods for the early detection and management of cancer, vascular diseases, brain injuries, and characterization of biomaterials.

Research in the CISL is conducted within the School of Engineering and Applied Science (SEAS) and Mallinckrodt Institute of Radiology at Washington University in St. Louis. Students in the CISL come from the BME, CSE, and ESE departments, and receive an interdisciplinary training in modern imaging science that involves applied mathematics, algorithms, and high performance (i.e., GPU) programming.

The CISL is directed by Professor Mark Anastasio and funded by the National Institute of Health and the National Science Foundation.

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