RSL Imaging Seminars

Image-Guided Therapy: Nanodelivery, Ablation, Immunotherapy and Transfection

This seminar has been recorded.  Please click the title above to view.

Cathy Ferrara PhD, UC Davis Bioengineering

November 9, 2016.  Glazer Learning Center, Lucas P083

 


Imaging Magnetism: A Window to Tissue Molecular and Microstructural Composition

This seminar has been recorded.  Please click the title above to view.

Chunlei Liu, UC Berkeley 

January 25, 2017. Li Ka Shing 120

Abstract

Our body can be weakly (~0.01ppm) magnetized by the strong magnetic field of MRI scanners. This magnetization originates from the magnetic susceptibility of biomolecules and certain trace metals; it is further influenced by cellular architecture of tissue. Until very recently, the spatial distribution of the magnetization and the corresponding magnetic susceptibility inside our body could not be measured, as traditional magnetometers only measure the magnetic field outside the body. I will present recent developments in MRI that have overcome this limitation and began to allow the mapping of magnetic susceptibility in 3D space. It will be shown that magnetic susceptibility mapping not only provides a means to produce high-resolution MR images, but also offers quantitative information of the molecular contents and cellular architectures of both healthy and diseased tissues. For example, it allows the quantification of tissue iron stores, calcification in tumors, myelination in white matter, aggregation of  b-amyloid in Alzheimer’s disease and the dynamic conversion between oxy- and deoxyhemoglobin. Further, quantifying magnetic susceptibility anisotropy allows the mapping of the orientations of axonal fibers, myofibers and collagens. Applications in the brain, heart, liver, kidney and knee joints will be discussed.     

Bio

Chunlei Liu received a PhD in Electrical Engineering from Stanford University. Until 2016, He was Associate Professor of Radiology at Duke University. He is currently an Associate Professor in the Department of Electrical Engineering and Computer Sciences, and Helen Wills Neuroscience Institute at the University of California, Berkeley.     

 


Computational Imaging  

This seminar has been recorded.  Please click the title above to view.

Gordon Wetzstein, Stanford EE 

February 15, 2017. Li Ka Shing 120

Abstract:

Virtual reality is a new medium that provides unprecedented user experiences. Eventually, VR/AR systems will redefine communication, entertainment, education, collaborative work, simulation, training, telesurgery, and basic vision research. In all of these applications, the primary interface between the user and the digital world is the near-eye display. While today’s VR systems struggle to provide natural and comfortable viewing experiences, next-generation computational near-eye displays have the potential to provide visual experiences that are better than the real world. In this talk, we explore the frontiers of VR systems engineering.

 



Breast Imaging 

Wendy B DeMartini, Stanford Radiology 

Wednesday, June 21, 2017 10:00-11:00 AM Li Ka Shing 130