Literature DB >> 22127916

DCE-MRI of the human kidney using BLADE: a feasibility study in healthy volunteers.

Florian Lietzmann1, Frank G Zöllner, Ulrike I Attenberger, Stefan Haneder, Henrik J Michaely, Lothar R Schad.   

Abstract

PURPOSE: To evaluate the degree of motion compensation in the kidney using two different sampling methods, each in their optimized settings: A BLADE k-space acquisition technique and a routinely used kidney perfusion acquisition scheme (TurboFLASH).
MATERIALS AND METHODS: Dynamic contrast enhanced magnetic resonance examinations were performed in 16 healthy volunteers on a 3 Tesla MR-system with two parameterizations of the BLADE sequence and the standard reference acquisition scheme. Signal intensity enhanced time curves were analyzed with a mathematical model and a widely published separable compartment model on cortex regions to assess robustness versus motion artifacts.
RESULTS: BLADE-measurements with a strip-width of 32 lines constituted the smallest mean values for the sum of squared errors (6065 ± 4996) compared with the measurement with a strip-width of 64 lines (13849 ± 14079) or the standard TurboFLASH (11884 ± 8076). Calculations concerning goodness of the fit of the applied compartment model yielded an overall average of the Akaike Fit Error of 732 ± 141 for BLADE (646 ± 149 for a strip-width of 32 lines, 816 ± 53 for 64 lines) and 1626 ± 303 for the TurboFLASH (TFL) sequence.
CONCLUSION: We demonstrated that renal dynamic contrast enhanced magnetic resonance imaging using BLADE k-space sampling with a strip-width of 32 is significantly less sensitive to motion than a widely published Turbo-Flash sequence with nearly similar parameters.
Copyright © 2011 Wiley Periodicals, Inc.

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Year:  2011        PMID: 22127916     DOI: 10.1002/jmri.23509

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  8 in total

1.  Estimating nonrigid motion from inconsistent intensity with robust shape features.

Authors:  Wenyang Liu; Dan Ruan
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

2.  Automatic 2D registration of renal perfusion image sequences by mutual information and adaptive prediction.

Authors:  Vincenzo Positano; Ilaria Bernardeschi; Virna Zampa; Martina Marinelli; Luigi Landini; Maria Filomena Santarelli
Journal:  MAGMA       Date:  2012-09-19       Impact factor: 2.310

3.  UMMPerfusion: an open source software tool towards quantitative MRI perfusion analysis in clinical routine.

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Journal:  J Digit Imaging       Date:  2013-04       Impact factor: 4.056

4.  Quantitative high-resolution renal perfusion imaging using 3-dimensional through-time radial generalized autocalibrating partially parallel acquisition.

Authors:  Katherine L Wright; Yong Chen; Haris Saybasili; Mark A Griswold; Nicole Seiberlich; Vikas Gulani
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Review 5.  [Quantitative perfusion imaging in magnetic resonance imaging].

Authors:  F G Zöllner; T Gaa; F Zimmer; M M Ong; P Riffel; D Hausmann; S O Schoenberg; M Weis
Journal:  Radiologe       Date:  2016-02       Impact factor: 0.635

Review 6.  Image registration in dynamic renal MRI-current status and prospects.

Authors:  Frank G Zöllner; Amira Šerifović-Trbalić; Gordian Kabelitz; Marek Kociński; Andrzej Materka; Peter Rogelj
Journal:  MAGMA       Date:  2019-10-09       Impact factor: 2.310

7.  Quantitative renal perfusion measurements in a rat model of acute kidney injury at 3T: testing inter- and intramethodical significance of ASL and DCE-MRI.

Authors:  Fabian Zimmer; Frank G Zöllner; Simone Hoeger; Sarah Klotz; Charalambos Tsagogiorgas; Bernhard K Krämer; Lothar R Schad
Journal:  PLoS One       Date:  2013-01-07       Impact factor: 3.240

8.  Simultaneous measurement of kidney function by dynamic contrast enhanced MRI and FITC-sinistrin clearance in rats at 3 tesla: initial results.

Authors:  Frank G Zöllner; Daniel Schock-Kusch; Sandra Bäcker; Sabine Neudecker; Norbert Gretz; Lothar R Schad
Journal:  PLoS One       Date:  2013-11-18       Impact factor: 3.240

  8 in total

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