Literature DB >> 21666289

A three-dimensional quality-guided phase unwrapping method for MR elastography.

Huifang Wang1, John B Weaver, Irina I Perreard, Marvin M Doyley, Keith D Paulsen.   

Abstract

Magnetic resonance elastography (MRE) uses accumulated phases that are acquired at multiple, uniformly spaced relative phase offsets, to estimate harmonic motion information. Heavily wrapped phase occurs when the motion is large and unwrapping procedures are necessary to estimate the displacements required by MRE. Two unwrapping methods were developed and compared in this paper. The first method is a sequentially applied approach. The three-dimensional MRE phase image block for each slice was processed by two-dimensional unwrapping followed by a one-dimensional phase unwrapping approach along the phase-offset direction. This unwrapping approach generally works well for low noise data. However, there are still cases where the two-dimensional unwrapping method fails when noise is high. In this case, the baseline of the corrupted regions within an unwrapped image will not be consistent. Instead of separating the two-dimensional and one-dimensional unwrapping in a sequential approach, an interleaved three-dimensional quality-guided unwrapping method was developed to combine both the two-dimensional phase image continuity and one-dimensional harmonic motion information. The quality of one-dimensional harmonic motion unwrapping was used to guide the three-dimensional unwrapping procedures and it resulted in stronger guidance than in the sequential method. In this work, in vivo results generated by the two methods were compared.

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Year:  2011        PMID: 21666289      PMCID: PMC3156002          DOI: 10.1088/0031-9155/56/13/012

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  19 in total

1.  Initial in vivo experience with steady-state subzone-based MR elastography of the human breast.

Authors:  Elijah E W Van Houten; Marvin M Doyley; Francis E Kennedy; John B Weaver; Keith D Paulsen
Journal:  J Magn Reson Imaging       Date:  2003-01       Impact factor: 4.813

2.  Analysis of the phase unwrapping algorithm.

Authors:  K Itoh
Journal:  Appl Opt       Date:  1982-07-15       Impact factor: 1.980

3.  Clustering-based robust three-dimensional phase unwrapping algorithm.

Authors:  Miguel Arevalillo-Herráez; David R Burton; Michael J Lalor
Journal:  Appl Opt       Date:  2010-04-01       Impact factor: 1.980

4.  Magnetic resonance elastography of the brain.

Authors:  Scott A Kruse; Gregory H Rose; Kevin J Glaser; Armando Manduca; Joel P Felmlee; Clifford R Jack; Richard L Ehman
Journal:  Neuroimage       Date:  2007-08-29       Impact factor: 6.556

5.  Elastography: a quantitative method for imaging the elasticity of biological tissues.

Authors:  J Ophir; I Céspedes; H Ponnekanti; Y Yazdi; X Li
Journal:  Ultrason Imaging       Date:  1991-04       Impact factor: 1.578

6.  Optimized motion estimation for MRE data with reduced motion encodes.

Authors:  Huifang Wang; John B Weaver; Marvin M Doyley; Francis E Kennedy; Keith D Paulsen
Journal:  Phys Med Biol       Date:  2008-04-03       Impact factor: 3.609

7.  High-resolution tensor MR elastography for breast tumour detection.

Authors:  R Sinkus; J Lorenzen; D Schrader; M Lorenzen; M Dargatz; D Holz
Journal:  Phys Med Biol       Date:  2000-06       Impact factor: 3.609

8.  MR elastography of breast cancer: preliminary results.

Authors:  Alexia L McKnight; Jennifer L Kugel; Phillip J Rossman; Armando Manduca; Lynn C Hartmann; Richard L Ehman
Journal:  AJR Am J Roentgenol       Date:  2002-06       Impact factor: 3.959

9.  MR elastography as a method for the assessment of myocardial stiffness: comparison with an established pressure-volume model in a left ventricular model of the heart.

Authors:  Arunark Kolipaka; Kiaran P McGee; Philip A Araoz; Kevin J Glaser; Armando Manduca; Anthony J Romano; Richard L Ehman
Journal:  Magn Reson Med       Date:  2009-07       Impact factor: 4.668

10.  Non-invasive measurement of brain viscoelasticity using magnetic resonance elastography.

Authors:  Ingolf Sack; Bernd Beierbach; Uwe Hamhaber; Dieter Klatt; Jürgen Braun
Journal:  NMR Biomed       Date:  2008-03       Impact factor: 4.044

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  5 in total

1.  The Relationship of Three-Dimensional Human Skull Motion to Brain Tissue Deformation in Magnetic Resonance Elastography Studies.

Authors:  Andrew A Badachhape; Ruth J Okamoto; Ramona S Durham; Brent D Efron; Sam J Nadell; Curtis L Johnson; Philip V Bayly
Journal:  J Biomech Eng       Date:  2017-05-01       Impact factor: 2.097

2.  K-space data processing for magnetic resonance elastography (MRE).

Authors:  Nadège Corbin; Elodie Breton; Michel de Mathelin; Jonathan Vappou
Journal:  MAGMA       Date:  2016-11-07       Impact factor: 2.310

3.  Magnetic resonance elastography of the brain using multishot spiral readouts with self-navigated motion correction.

Authors:  Curtis L Johnson; Matthew D J McGarry; Elijah E W Van Houten; John B Weaver; Keith D Paulsen; Bradley P Sutton; John G Georgiadis
Journal:  Magn Reson Med       Date:  2012-09-21       Impact factor: 4.668

4.  In vivo characterization of 3D skull and brain motion during dynamic head vibration using magnetic resonance elastography.

Authors:  Ziying Yin; Yi Sui; Joshua D Trzasko; Phillip J Rossman; Armando Manduca; Richard L Ehman; John Huston
Journal:  Magn Reson Med       Date:  2018-05-17       Impact factor: 4.668

5.  Analysis and improvement of motion encoding in magnetic resonance elastography.

Authors:  Christian Guenthner; Jurgen Henk Runge; Ralph Sinkus; Sebastian Kozerke
Journal:  NMR Biomed       Date:  2018-03-30       Impact factor: 4.044

  5 in total

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