Journal article
Application of flow sensitive gradients for improved measures of metabolism using hyperpolarized (13) c MRI
Magnetic resonance in medicine, Vol.75(3), pp.1242-1248
03/2016
DOI: 10.1002/mrm.25584
PMCID: PMC4636474
PMID: 25951611
Abstract
To develop the use of bipolar gradients to suppress partial-volume and flow-related artifacts from macrovascular, hyperpolarized spins.
Digital simulations were performed over a range of spatial resolutions and gradient strengths to determine the optimal bipolar gradient strength and duration to suppress flowing spins while minimizing signal loss from static tissue. In vivo experiments were performed to determine the efficacy of this technique to suppress vascular signal in the study of hyperpolarized [1-(13)C]pyruvate renal metabolism.
Digital simulations showed that in the absence of bipolar gradients, partial-volume artifacts from the vasculature were still present, causing underestimation of the apparent reaction rate of pyruvate to lactate (kP). The addition of a bipolar gradient with b = 32 s/mm(2) sufficiently suppressed the vascular signal without a substantial decrease in signal from static tissue. In vivo results corroborate digital simulations, with similar peak lactate signal to noise ratio (SNR) but substantially different kP in the presence of bipolar gradients.
The proposed approach suppresses signal from flowing spins while minimizing signal loss from static tissue, removing contaminating signal from the vasculature and increasing kinetic modeling accuracy without substantially sacrificing SNR or temporal resolution.
Details
- Title: Subtitle
- Application of flow sensitive gradients for improved measures of metabolism using hyperpolarized (13) c MRI
- Creators
- Jeremy W Gordon - University of Wisconsin–MadisonDavid J Niles - University of Wisconsin–MadisonErin B Adamson - University of Wisconsin–MadisonKevin M Johnson - University of Wisconsin–MadisonSean B Fain - University of Wisconsin–Madison
- Resource Type
- Journal article
- Publication Details
- Magnetic resonance in medicine, Vol.75(3), pp.1242-1248
- DOI
- 10.1002/mrm.25584
- PMID
- 25951611
- PMCID
- PMC4636474
- ISSN
- 0740-3194
- eISSN
- 1522-2594
- Grant note
- R01 DK073680 / NIDDK NIH HHS T32 CA009206 / NCI NIH HHS NIH/NCI T32 CA009206 / NCI NIH HHS P50 AG033514 / NIA NIH HHS 1P50AG033514 / NIA NIH HHS
- Language
- English
- Date published
- 03/2016
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Health and Human Physiology
- Record Identifier
- 9984275058002771
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