[SEMİNER] High-Res Diffusion MRI / Imaging and Analysis Strategies for Rapid MRI

Tarih: 20.03.2012
Yer: Kandilli

High-Res Diffusion MRI / Magnetic Particle Imaging  

Emine Ülkü Sarıtaş

 

Imaging and Analysis Strategies for Rapid MRI

Tolga Çukur

 

High-Resolution Diffusion MRI / Magnetic Particle Imaging

Abstract: Diffusion MRI is a magnetic resonance imaging (MRI) method that provides information about random microscopic motion of water molecules in biological tissues. I will present advanced pulse sequence methods to overcome the problems associated with and enable high-resolution diffusion MRI of targeted regions. In the second part of my talk, I will introduce magnetic particle imaging (MPI): a new and powerful imaging modality with high contrast, high resolution and high sensitivity in detecting the spatial distribution of magnetic tracers in animals and human body. With application ranging from in vivo stem cell tracking to angiography, MPI promises superior contrast and sensitivity over existing medical imaging modalities.

 

Imaging and Analysis Strategies for Rapid MRI

Abstract: Recent hardware developments have opened a venue for reducing the relatively long scan times that typically constrain the spatiotemporal resolution of MRI. As a result, there has been growing interest in rapid imaging and analysis methods that take full advantage of these advances. In the first part of the talk, I will present fast imaging strategies that employ state-of-the-art steady-state pulse sequences and efficient parallel-imaging/compressed-sensing reconstructions. In the second part, I will describe sophisticated post-processing algorithms devised for rapid event-related fMRI. In addition to advancing our understanding of the visual system, these models can also be utilized for reliably decoding brain activity, i.e., mind reading.

 

Emine Ülkü Sarıtaş graduated with a B.S. degree in Electrical & Electronics Engineering from Bilkent University in 2002. She received her Ph.D. degree in Electrical Engineering at Stanford University in 2009, working under the supervision of Prof. Dwight Nishimura on high-resolution diffusion magnetic resonance imaging. She is currently a postdoctoral fellow in Prof. Steven Conolly’s Imaging Systems Lab in the Department of Bioengineering at the University of California, Berkeley. Her current research focuses on the development of magnetic particle imaging techniques, as well as their safety and image reconstruction algorithms.

 

Tolga Çukur graduated from Bilkent University in 2003 with a B.S. degree in Electrical Engineering. He continued his studies at Stanford University under the supervision of Prof. Dwight G. Nishimura, and received his Ph.D. degree in Electrical Engineering in 2009. He is currently a postdoctoral fellow in Prof. Jack L. Gallant’s lab in the Helen Wills Neuroscience Institute at the University of California, Berkeley. His research interests include rapid data acquisition, image reconstruction, and statistical analysis strategies for magnetic resonance imaging (MRI), with a broad range of applications including angiographic, cardiac, cellular, and functional imaging. His current work focuses on building quantitative models of the human visual system during natural stimulation, using functional MRI measurements. 

20 March 2012
Time: 15.00 - 17.00; 
@ Room AZ-19, BME-TAM Bldg,  BU Kandilli Campus