Optimal k-space sampling for dynamic contrast-enhanced MRI with an application to MR renography

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...

Full description

Saved in:
Bibliographic Details
Published inMagnetic resonance in medicine Vol. 61; no. 5; pp. 1242 - 1248
Main Authors Song, Ting, Laine, Andrew F., Chen, Qun, Rusinek, Henry, Bokacheva, Louisa, Lim, Ruth P., Laub, Gerhard, Kroeker, Randall, Lee, Vivian S.
Format Journal Article
LanguageEnglish
Published Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.05.2009
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary: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. Magn Reson Med, 2009. © 2009 Wiley‐Liss, Inc.
Bibliography:National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
ArticleID:MRM21901
ark:/67375/WNG-W1SBXQTS-G
National Institutes of Health (NIH) - No. R01 DK063183; No. R01 DK067523
istex:0C16B20CF227581535335860A5803CF80C87C908
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Undefined-1
ObjectType-Feature-3
content type line 23
ISSN:0740-3194
1522-2594
DOI:10.1002/mrm.21901