Robust high resolution MRI by spatiotemporal encoding

QUEST Center event
Yes
Speaker
Lucio Frydmann (Weizmann)
Date
03/01/2019 - 15:30 - 14:30Add to Calendar 2019-01-03 14:30:00 2019-01-03 15:30:00 Robust high resolution MRI by spatiotemporal encoding Over the last decade we have introduced and perfected so-called spatiotemporal encoding (SPEN) methodologies to collect multidimensional NMR spectra and images in a single scan. This talk will focus on the new spin physics underlying these methodologies, and on the potential of these techniques to deliver superior imaging information, particularly in comparison with established methods such as spin-echo EPI in the realm of diffusion MRI, and with fast-spin-echo/RARE in multi-shot anatomical MRI. Achievements that will be described include the acquisition of diffusion in vivo images at <100µm in-plane resolutions in challenging preclinical areas, hitherto unavailable characterizations of cancerous tissues in animals and in patients, and sub-mm anatomical measurements in humans with unprecedented acceleration factors.   Nano (206), 9th floor Department of Physics physics.dept@mail.biu.ac.il Asia/Jerusalem public
Place
Nano (206), 9th floor
Abstract

Over the last decade we have introduced and perfected so-called spatiotemporal encoding (SPEN) methodologies to collect multidimensional NMR spectra and images in a single scan. This talk will focus on the new spin physics underlying these methodologies, and on the potential of these techniques to deliver superior imaging information, particularly in comparison with established methods such as spin-echo EPI in the realm of diffusion MRI, and with fast-spin-echo/RARE in multi-shot anatomical MRI. Achievements that will be described include the acquisition of diffusion in vivo images at <100µm in-plane resolutions in challenging preclinical areas, hitherto unavailable characterizations of cancerous tissues in animals and in patients, and sub-mm anatomical measurements in humans with unprecedented acceleration factors.

 

Last Updated Date : 31/12/2018