Eddy Solomon1
1Department of Radiology, New York University, United States
Synopsis
This talk will discuss a relatively new MRI methodology called
SPatio-temporal ENcoding (SPEN). SPEN is a highly robust method overcoming
B0-inhomogeneities and heterogeneous chemical shift environments, and hence
presents advantages in multiple diffusion studies. Attention will be focused on
the physical basis employed to quantify diffusion experiments using SPEN and recent
substantial advantages will be discussed in terms of both anatomical image
qualities and diffusional information vis-à-vis EPI.
Target Audience
Beginning
or advanced researchers interested in getting to know a promising alternative imaging
method for measuring diffusion in challenging body regions.Abstract
Diffusion-weighted (DW) MRI is a powerful modality for studying
microstructure in normal and pathological tissues [1]. In most cases, and
certainly in clinical applications, echo planar imaging (EPI) [2] is the method
of choice for performing rapid in vivo
diffusion measurements. Still, SE-EPI is prone to display several image
artifacts; particularly with respect to chemical shift offsets, geometric distortions and blurring
derived from field inhomogeneities. Those limitations have led to searches of other single-scan “ultrafast” MRI
methods capable to overcome motion and local field heterogeneities during an
experiment that aims to measure μm-sized random displacements.
In this educational talk, we will discuss the physical principles of novel
single-shot techniques based on SPatio-temporal ENcoding (SPEN), originally
developed by Pro. Lucio Frydman for acquiring
arbitrary 2D NMR spectra, which can overcome B0 and
local field heterogeneities. SPEN’s principles differ from conventional Fourier
Transform (FT) methods, allowing it to operate at higher effective bandwidths
than SE-EPI, providing a significant reduction in image distortions arising
from field inhomogeneities, eddy currents, and common heterogeneous chemical
environments [3]. The talk will cover the formalism for analyzing diffusion experiments based SPEN data, which takes
into account the concomitant effects of adiabatic pulses, imaging as well as
diffusion gradients, and of the cross-terms between them [4]. Moreover, attention will center on SPEN’s
capability to reduce the effects of heterogeneities by operating in a so‐called “full refocusing” mode, whereby spin
echoes refocusing T2* effects arise throughout the
course of the data acquisition—rather than at a single time instant. Resolution
improvements will also be exemplified as a result of SPEN’s built‐in capability
to target restricted FOVs, free from folding artifacts, all of which are
relevant for high definition diffusion experiments. Finally, multiple examples
of successful diffusion experiments will be discussed such as DWI and DTI in
human and rodent brains, characterization of breast cancer, dynamics of
placental flow during pregnancy, and real-time imaging of small animals in high
and ultrahigh magnetic fields.Acknowledgements
No acknowledgement found.References
[1] P.J. Basser, D.K. Jones, Diffusion-tensor MRI: theory, experimental
design and data analysis – a technical review. NMR Biomed., 15 (2002), pp.
456-467
[2] M.K. Stehling, R. Turner, P. Mansfield, Echo-planar imaging: magnetic
resonance imaging in a fraction of a second. Science, 254 (1991), pp. 43-50
[3] N Ben-Eliezer, M Irani, L Frydman. Super-resolved spatially encoded
single-scan 2D MRI. Magn Reson Med. 2010 Jun;63(6):1594-600. doi: 10.1002/mrm.22377
[4] E Solomon, N Shemesh and L Frydman. Diffusion weighted MRI by spatiotemporal encoding: analytical description
and in vivo validations. J Magn Reson. 2013 Jul; 232:76-86. doi.org/10.1016/j.jmr.2013.02.014