title: Optimal k-space sampling for dynamic contrast-enhanced MRI with an application to MR renography.
abstract: 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.affiliation: Department of Radiology, New York University School of Medicine, New York, New York 10016, USA. songting@gmail.com
authors.forename: Ting
authors.initials: T
authors.lastname: Song
authors.forename: Andrew F
authors.initials: AF
authors.lastname: Laine
authors.forename: Qun
authors.initials: Q
authors.lastname: Chen
authors.forename: Henry
authors.initials: H
authors.lastname: Rusinek
authors.forename: Louisa
authors.initials: L
authors.lastname: Bokacheva
authors.forename: Ruth P
authors.initials: RP
authors.lastname: Lim
authors.forename: Gerhard
authors.initials: G
authors.lastname: Laub
authors.forename: Randall
authors.initials: R
authors.lastname: Kroeker
authors.forename: Vivian S
authors.initials: VS
authors.lastname: Lee
mesh_terms: D000368:Aged; D000465:Algorithms; D003287:Contrast Media; D005260:Female; D019786:Gadolinium DTPA; D006801:Humans; D006977:Hypertension, Renal / Q000175:diagnosis*; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D007668:Kidney / Q000473:pathology*; D008279:Magnetic Resonance Imaging / Q000295:instrumentation / Q000379:methods*; D019047:Phantoms, Imaging; D011866:Radioisotope Renography / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
chemical_list: D003287:Contrast Media; D019786:Gadolinium DTPA