Literature DB >> 16906431

Analysis of contrast-enhanced MR images to assess renal function.

N Michoux1, J-P Vallée, A Pechère-Bertschi, X Montet, L Buehler, B E Van Beers.   

Abstract

The image analysis and kinetic modeling methods used in dynamic contrast-enhanced magnetic resonance imaging of the kidney are reviewed. Image analysis includes various techniques of coregistration and segmentation. Few methods have been completely implemented. Nevertheless, the use of coregistration may become a standard to decrease the effect of motion on abdominal images and improve the quality of the renal signals. Kinetic models are classified into three categories: enhancement-based, external and internal representations. Enhancement-based representations are limited to a basic analysis of the tracer concentration curves in the kidneys. Their relationship to the underlying physiology is complex and undefined. However, they can be used to evaluate the split renal function. External representations assess the kidney input and output. An external representation based on the up-slope of the renal enhancement to calculate the renal perfusion is commonly used because of its simplicity. In contrast, external representation based on deconvolution or identification methods remain underexploited. For glomerular filtration, an internal representation based on a two-compartmental model is mostly used. Internal representations based on multi-compartmental models describe the renal function in a more realistic way. Because of their numerical complexity, these models remain rarely used.

Mesh:

Year:  2006        PMID: 16906431     DOI: 10.1007/s10334-006-0045-z

Source DB:  PubMed          Journal:  MAGMA        ISSN: 0968-5243            Impact factor:   2.310


  69 in total

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2.  Movement correction of the kidney in dynamic MRI scans using FFT phase difference movement detection.

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Journal:  J Magn Reson Imaging       Date:  2001-12       Impact factor: 4.813

3.  Mathematical model of renal elimination of fluid and small ions during hyper- and hypovolemic conditions.

Authors:  Christina C Gyenge; Bruce D Bowen; Rolf K Reed; Joel L Bert
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4.  Deconvolution of dynamic contrast-enhanced MRI data by linear inversion: choice of the regularization parameter.

Authors:  Steven Sourbron; Rob Luypaert; Peter Van Schuerbeek; Martine Dujardin; Tadeusz Stadnik; Michel Osteaux
Journal:  Magn Reson Med       Date:  2004-07       Impact factor: 4.668

5.  Efficient method for calculating kinetic parameters using T1-weighted dynamic contrast-enhanced magnetic resonance imaging.

Authors:  Kenya Murase
Journal:  Magn Reson Med       Date:  2004-04       Impact factor: 4.668

6.  Noninvasive measurement of renal hemodynamic functions using gadolinium enhanced magnetic resonance imaging.

Authors:  C L Dumoulin; M H Buonocore; L R Opsahl; R W Katzberg; R D Darrow; T W Morris; C Batey
Journal:  Magn Reson Med       Date:  1994-09       Impact factor: 4.668

7.  Assessment of regional cerebral blood flow by dynamic susceptibility contrast MRI using different deconvolution techniques.

Authors:  R Wirestam; L Andersson; L Ostergaard; M Bolling; J P Aunola; A Lindgren; B Geijer; S Holtås; F Ståhlberg
Journal:  Magn Reson Med       Date:  2000-05       Impact factor: 4.668

8.  Dynamic three-dimensional MR renography for the measurement of single kidney function: initial experience.

Authors:  Vivian S Lee; Henry Rusinek; Marilyn E Noz; Peter Lee; Meera Raghavan; Elissa L Kramer
Journal:  Radiology       Date:  2003-02-28       Impact factor: 11.105

9.  Measurement of single-kidney glomerular filtration rate using a contrast-enhanced dynamic gradient-echo sequence and the Rutland-Patlak plot technique.

Authors:  Nils Hackstein; Jan Heckrodt; Wigbert S Rau
Journal:  J Magn Reson Imaging       Date:  2003-12       Impact factor: 4.813

10.  Functional MR of the kidney.

Authors:  J A Frank; P L Choyke; H A Austin; M E Girton
Journal:  Magn Reson Med       Date:  1991-12       Impact factor: 4.668

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  6 in total

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

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Journal:  NMR Biomed       Date:  2015-03-25       Impact factor: 4.044

3.  Assessment of liver function in primary biliary cirrhosis using Gd-EOB-DTPA-enhanced liver MRI.

Authors:  Henrik Nilsson; Lennart Blomqvist; Lena Douglas; Anders Nordell; Eduard Jonas
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4.  Combined renal MRA and perfusion with a single dose of contrast.

Authors:  Parmede Vakil; James C Carr; Timothy J Carroll
Journal:  Magn Reson Imaging       Date:  2012-04-20       Impact factor: 2.546

Review 5.  Assessment of renal function with dynamic contrast-enhanced MR imaging.

Authors:  Louisa Bokacheva; Henry Rusinek; Jeff L Zhang; Vivian S Lee
Journal:  Magn Reson Imaging Clin N Am       Date:  2008-11       Impact factor: 2.266

6.  Estimates of glomerular filtration rate from MR renography and tracer kinetic models.

Authors:  Louisa Bokacheva; Henry Rusinek; Jeff L Zhang; Qun Chen; Vivian S Lee
Journal:  J Magn Reson Imaging       Date:  2009-02       Impact factor: 4.813

  6 in total

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