CANCELED - OSC Colloquium: Dr. Mark Anastasio

    Date: 
    Thursday, March 26, 2020 - 3:30pm - 5:00pm
    Location: 
    Meinel 307
    Address: 

    1630 E. University Blvd.

    3rd Floor Lobby area

    Registration: 

    Open to campus and public.

    Description: 

    Speaker: Dr. Mark Anastasio

    Topic: Machine learning-enabled imaging science

    Host: Eric Clarkson

    Visit our website for future lecture dates and speaker information: http://www.optics.arizona.edu/news-events/events/colloquium For a list of our archived lectures: http://www.optics.arizona.edu/news-events/events/colloquium/archive

    Abstract(s): 

    Machine learning methods are having a profound impact on the field of imaging.  It has become commonplace to employ learning-based methods to perform various image-based inferences that include signal detection, segmentation, and even image reconstruction.   In this talk, we explore the use of machine learning methods for a different, and perhaps more abstract, purpose in imaging science; namely, the optimization of imaging systems by use of objective measures of image quality (IQ).  It is widely accepted that optimization of medical imaging systems should be guided by task-based measures of IQ. Task-based measures of IQ quantify the ability of an observer to perform a specified task such as detection or estimation of a signal (e.g., a tumor). We will describe supervised learning-based methods for approximating the ideal observer test statistic for binary signal detection and joint signal detection-localization tasks. The use of learned data embeddings for approximating the Hotelling observer will also be discussed. Finally, we introduce an augmented generative adversarial network (GAN) architecture for learning the statistical distributions of objects from raw imaging measurements, which can further enable the optimization of imaging system designs for specific diagnostic tasks.  

    Speaker Bio(s): 

    Dr. Mark Anastasio is the Donald Biggar Willett Professor in Engineering and the Head of the Department of Bioengineering at the University of Illinois at Urbana-Champaign (UIUC). Before joining UIUC in 2019, he was a Professor of Biomedical Engineering at Washington University in St. Louis, where he established one of the nation’s first stand-alone PhD programs in imaging science. Dr. Anastasio’s research accomplishments to the fields of biomedical imaging and image science have been numerous and his general interests broadly address the computational aspects of image formation, modern imaging science, and machine learning.  He has conducted research in the fields of diffraction tomography, X-ray phase-contrast imaging, and ultrasound tomography.  He one of the world’s leading authorities on photoacoustic computed tomography (PACT) and has made numerous and important contributions to development of PACT for over fifteen years.   He has published over 140 peer-reviewed papers in leading imaging and optical science journals and was the recipient of a National Science Foundation (NSF) CAREER Award to develop image reconstruction methods.  He is a Fellow of the American Institute for Medical and Biological Engineering (AIMBE) and the SPIE and currently serves as the Chair of the NIH EITA Study Section.  

    Schedule: 

    Refreshments 3:30pm

    Lecture @ 3:45pm - 5pm