ECE Research Seminar Series - Towards Color Computed Tomography: Opportunities and Challenges in Spectral Computed Tomography
Description
The Electrical and Computer Engineering department will be hosting a seminar featuring Dr. Patrick La Riviere, Ph. D., Associate Professor in the Department of Radiology at the University of Chicago. The topic of the seminar will be, Towards Color Computed Tomography: Opportunities and Challenges in Spectral Computed Tomography
Abstract
Energy-sensitive computed tomography (CT) imaging has the potential to improve materialidentification in vivo, allowing natural calcium and injected iodine to be readily discriminated, enablingdifferent types of kidney stones to be classified, and potentially paving the way for multiple contrastagents to be used simultaneously. Such energy-sensitive CT imaging introduces new demands forsystem designers and new challenges and opportunities for algorithm developers. While the idea ofspectral computed tomography (CT) is nearly as old as CT itself, we will review the recent hardwaredevelopments that have finally brought it into the clinic, as well as emerging technologies based onphoton counting. We will focus primarily on the algorithmic challenges and opportunities that arise inthese technologies, such as the need to engage fully with the non-linear nature of CT acquisition, and theopportunities afforded in working with multi-channel image volumes.
Speakers Biography
Patrick J. La Riviere received the A.B. degree in physics from Harvard University in 1994 and Ph.D. degree from the Graduate Programs in Medical Physics in the Department of Radiology at the University of Chicago in 2000. In between, he studied the history and philosophy of physics while on the Lionel de Jersey-Harvard scholarship to Cambridge University. He is currently an Associate Professor in the Department of Radiology at the University of Chicago, where his research interests include the tomographic reconstruction in computed tomography, x-ray fluorescence computed tomography, and computational microscopy. In 2005, he received the IEEE Young Investigator Medical Imaging Scientist Award, given to a young investigator within 6 years of the Ph.D. for significant contributions to medical imaging research. He is an author of more than 75 peer-reviewed articles and peer-reviewed conference proceedings and 8 book chapters