Literature DB >> 12722801

Thresholds for detecting and characterizing focal lesions using steady-state MR elastography.

Marvin M Doyley1, John B Weaver, Elijah E W Van Houten, Francis E Kennedy, Keith D Paulsen.   

Abstract

An objective contrast-detail analysis was performed in this study to assess the low contrast detectability of a clinical prototype harmonic magnetic resonance elastographic imaging system. Elastographic imaging was performed on gelatin phantoms containing spherical inclusions of varying size and modulus contrast. The results demonstrate that lesions as small as 5 mm can be detected with a minimum modulus contrast of 14 dB. However, the shear modulus of such small lesions was not accurately recovered. In general, the shear modulus of larger focal lesions was accurately (i.e., within 25% of the true value) recovered. The minimum modulus contrast needed to detect focal lesions was observed to decrease with increasing lesion size.

Mesh:

Year:  2003        PMID: 12722801     DOI: 10.1118/1.1556607

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  18 in total

1.  The performance of steady-state harmonic magnetic resonance elastography when applied to viscoelastic materials.

Authors:  Marvin M Doyley; Irina Perreard; Adam J Patterson; John B Weaver; Keith M Paulsen
Journal:  Med Phys       Date:  2010-08       Impact factor: 4.071

2.  Effects of frequency- and direction-dependent elastic materials on linearly elastic MRE image reconstructions.

Authors:  I M Perreard; A J Pattison; M Doyley; M D J McGarry; Z Barani; E E Van Houten; J B Weaver; K D Paulsen
Journal:  Phys Med Biol       Date:  2010-10-28       Impact factor: 3.609

3.  Digital image elasto-tomography: mechanical property estimation of silicone phantoms.

Authors:  Ashton Peters; J Geoffrey Chase; Elijah E W Van Houten
Journal:  Med Biol Eng Comput       Date:  2007-11-03       Impact factor: 2.602

Review 4.  Pre-clinical MR elastography: Principles, techniques, and applications.

Authors:  P V Bayly; J R Garbow
Journal:  J Magn Reson       Date:  2018-04-26       Impact factor: 2.229

5.  Subzone based magnetic resonance elastography using a Rayleigh damped material model.

Authors:  Elijah E W Van Houten; D vR Viviers; M D J McGarry; P R Perriñez; I I Perreard; J B Weaver; K D Paulsen
Journal:  Med Phys       Date:  2011-04       Impact factor: 4.071

6.  Improved hardware for higher spatial resolution strain-encoded (SENC) breast MRI for strain measurements.

Authors:  Ahmed A Harouni; Jakir Hossain; Michael A Jacobs; Nael F Osman
Journal:  Acad Radiol       Date:  2011-03-25       Impact factor: 3.173

7.  Artificial neural networks for magnetic resonance elastography stiffness estimation in inhomogeneous materials.

Authors:  Jonathan M Scott; Arvin Arani; Armando Manduca; Kiaran P McGee; Joshua D Trzasko; John Huston; Richard L Ehman; Matthew C Murphy
Journal:  Med Image Anal       Date:  2020-04-22       Impact factor: 8.545

8.  An octahedral shear strain-based measure of SNR for 3D MR elastography.

Authors:  M D J McGarry; E E W Van Houten; P R Perriñez; A J Pattison; J B Weaver; K D Paulsen
Journal:  Phys Med Biol       Date:  2011-06-08       Impact factor: 3.609

9.  Brain mechanical property measurement using MRE with intrinsic activation.

Authors:  John B Weaver; Adam J Pattison; Matthew D McGarry; Irina M Perreard; Jessica G Swienckowski; Clifford J Eskey; S Scott Lollis; Keith D Paulsen
Journal:  Phys Med Biol       Date:  2012-10-18       Impact factor: 3.609

10.  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

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