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 Institutes of Health and the National Science Foundation.

Latest News

  • February 2018: Professor Anastasio is appointed as the next Chair of the NIH BMIT-B Study Section.
  • February 2018: Lab members Yujia Chen, Joe Poudel, Shenghua He, and Weinin Zhou, present their work at the SPIE Medical Imaging Conference.
  • February 2018: Weimin Zhou wins the best poster award at the SPIE Medical Imaging Conference. His work desribed the use of deep learning for Ideal Observer computations. Congratulations!
  • January 2018: Lab members Thomas Matthews and Joe Poudel present their work at the SPIE Photonics West Conference
  • January 2018: WashU launches a new PhD Program in Imaging Science. https://engineering.wustl.edu/departments-faculty/interdisciplinary-degree-programs/imaging-science/Pages/default.aspx
  • December 2017: Professor Anastasio is named a Fellow of the SPIE. https://engineering.wustl.edu/news/Pages/Anastasio-named-Fellow-of-SPIE.aspx
  • Fall 2017: Huifeng Guan, Yang Lou, and Thomas Matthews complete their PhD degrees. Congratulations on your excellent work! All three are headed to the west coast to conduct research in machine learning and medical imaging.