Title
Generating Super Stimulated-Echoes in MRI and Their Application to Hyperpolarized C-13 Diffusion Metabolic Imaging.
Abstract
Stimulated-echoes in MR can be used to provide high sensitivity to motion and flow, creating diffusion and perfusion weighting as well as T1 contrast, but conventional approaches inherently suffer from a 50% signal loss. The super stimulated-echo, which uses a specialized radio-frequency (RF) pulse train, has been proposed in order to improve the signal while preserving motion and T1 sensitivity. This paper presents a novel and straightforward method for designing the super stimulated-echo pulse train using inversion pulse design techniques. This method can also create adiabatic designs with an improved response to RF transmit field variations. The scheme was validated in phantom experiments and shown in vivo to improve signal-to-noise ratio (SNR). We have applied a super stimulated-echo to metabolic MRI with hyperpolarized 13C-labeled molecules. For spectroscopic imaging of hyperpolarized agents, several repetition times are required but only a single stimulated-echo encoding is feasible, which can lead to unwanted motion blurring. To address this, a super stimulated-echo preparation scheme was used in which the diffusion weighting is terminated prior to the acquisition, and we observed a SNR increases of 60% in phantoms and 49% in vivo over a conventional stimulated-echo. Experiments following injection of hyperpolarized [1-13C] -pyruvate in murine transgenic cancer models have shown improved delineation for tumors since signals from metabolites within tumor tissues are retained while those from the vasculature are suppressed by the diffusion preparation scheme.
Year
DOI
Venue
2012
10.1109/TMI.2011.2168235
IEEE Trans. Med. Imaging
Keywords
Field
DocType
encoding,magnetization,radio frequency,signal to noise ratio,imaging,modulation,sensitivity,cancer,shape
Weighting,Imaging phantom,Modulation,Radio frequency,Pulse (signal processing),Pulse wave,Nuclear magnetic resonance,Mathematics,Encoding (memory)
Journal
Volume
Issue
ISSN
31
2
0278-0062
Citations 
PageRank 
References 
0
0.34
0
Authors
7
Name
Order
Citations
PageRank
Peder E. Z. Larson153.86
Adam B. Kerr294.06
Galen Reed3312.59
Ralph E. Hurd400.34
John Kurhanewicz5818.45
John M. Pauly660052.05
Daniel B Vigneron7418.17