Document Detail


Optimal k-space sampling for dynamic contrast-enhanced MRI with an application to MR renography.
MedLine Citation:
PMID:  19230014     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
For time-resolved acquisitions with k-space undersampling, a simulation method was developed for selecting imaging parameters based on minimization of errors in signal intensity versus time and physiologic parameters derived from tracer kinetic analysis. Optimization was performed for time-resolved angiography with stochastic trajectories (TWIST) algorithm applied to contrast-enhanced MR renography. A realistic 4D phantom comprised of aorta and two kidneys, one healthy and one diseased, was created with ideal tissue time-enhancement pattern generated using a three-compartment model with fixed parameters, including glomerular filtration rate (GFR) and renal plasma flow (RPF). TWIST acquisitions with different combinations of sampled central and peripheral k-space portions were applied to this phantom. Acquisition performance was assessed by the difference between simulated signal intensity (SI) and calculated GFR and RPF and their ideal values. Sampling of the 20% of the center and 1/5 of the periphery of k-space in phase-encoding plane and data-sharing of the remaining 4/5 minimized the errors in SI (<5%), RPF, and GFR (both <10% for both healthy and diseased kidneys). High-quality dynamic human images were acquired with optimal TWIST parameters and 2.4 sec temporal resolution. The proposed method can be generalized to other dynamic contrast-enhanced MRI applications, e.g., MR angiography or cancer imaging.
Authors:
Ting Song; Andrew F Laine; Qun Chen; Henry Rusinek; Louisa Bokacheva; Ruth P Lim; Gerhard Laub; Randall Kroeker; Vivian S Lee
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Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine     Volume:  61     ISSN:  1522-2594     ISO Abbreviation:  Magn Reson Med     Publication Date:  2009 May 
Date Detail:
Created Date:  2009-05-25     Completed Date:  2009-07-27     Revised Date:  2011-01-07    
Medline Journal Info:
Nlm Unique ID:  8505245     Medline TA:  Magn Reson Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1242-8     Citation Subset:  IM    
Copyright Information:
(c) 2009 Wiley-Liss, Inc.
Affiliation:
Department of Radiology, New York University School of Medicine, New York, New York 10016, USA. songting@gmail.com
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MeSH Terms
Descriptor/Qualifier:
Aged
Algorithms*
Contrast Media
Female
Gadolinium DTPA / diagnostic use*
Humans
Hypertension, Renal / diagnosis*
Image Enhancement / methods
Image Interpretation, Computer-Assisted / methods*
Imaging, Three-Dimensional / methods*
Kidney / pathology*
Magnetic Resonance Imaging / instrumentation,  methods*
Phantoms, Imaging
Radioisotope Renography / methods
Reproducibility of Results
Sensitivity and Specificity
Grant Support
ID/Acronym/Agency:
R01 DK063183/DK/NIDDK NIH HHS; R01 DK063183-05/DK/NIDDK NIH HHS; R01 DK067523/DK/NIDDK NIH HHS; R01 DK067523-05/DK/NIDDK NIH HHS
Chemical
Reg. No./Substance:
0/Contrast Media; 80529-93-7/Gadolinium DTPA
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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