Literature DB >> 22836727

Ultrasound elastic tensor imaging: comparison with MR diffusion tensor imaging in the myocardium.

Wei-Ning Lee1, Benoît Larrat, Mathieu Pernot, Mickaël Tanter.   

Abstract

We have previously proven the feasibility of ultrasound-based shear wave imaging (SWI) to non-invasively characterize myocardial fiber orientation in both in vitro porcine and in vivo ovine hearts. The SWI-estimated results were in good correlation with histology. In this study, we proposed a new and robust fiber angle estimation method through a tensor-based approach for SWI, coined together as elastic tensor imaging (ETI), and compared it with magnetic resonance diffusion tensor imaging (DTI), a current gold standard and extensively reported non-invasive imaging technique for mapping fiber architecture. Fresh porcine (n = 5) and ovine (n = 5) myocardial samples (20 × 20 × 30 mm³) were studied. ETI was firstly performed to generate shear waves and to acquire the wave events at ultrafast frame rate (8000 fps). A 2.8 MHz phased array probe (pitch = 0.28 mm), connected to a prototype ultrasound scanner, was mounted on a customized MRI-compatible rotation device, which allowed both the rotation of the probe from -90° to 90° at 5° increments and co-registration between two imaging modalities. Transmural shear wave speed at all propagation directions realized was firstly estimated. The fiber angles were determined from the shear wave speed map using the least-squares method and eigen decomposition. The test myocardial sample together with the rotation device was then placed inside a 7T MRI scanner. Diffusion was encoded in six directions. A total of 270 diffusion-weighted images (b = 1000 s mm⁻², FOV = 30 mm, matrix size = 60 × 64, TR = 6 s, TE = 19 ms, 24 averages) and 45 B₀ images were acquired in 14 h 30 min. The fiber structure was analyzed by the fiber-tracking module in software, MedINRIA. The fiber orientation in the overlapped myocardial region which both ETI and DTI accessed was therefore compared, thanks to the co-registered imaging system. Results from all ten samples showed good correlation (r² = 0.81, p < 0.0001) and good agreement (3.05° bias) between ETI and DTI fiber angle estimates. The average ETI-estimated fractional anisotropy (FA) values decreased from subendocardium to subepicardium (p < 0.05, unpaired, one-tailed t-test, N = 10) by 33%, whereas the corresponding DTI-estimated FA values presented a change of -10% (p > 0.05, unpaired, one-tailed t-test, N = 10). In conclusion, we have demonstrated that the fiber orientation estimated by ETI, which assesses the shear wave speed (and thus the stiffness), was comparable to that measured by DTI, which evaluates the preferred direction of water diffusion, and have validated this concept within the myocardium. Moreover, ETI was shown capable of mapping the transmural fiber angles with as few as seven shear wave propagation directions.

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Year:  2012        PMID: 22836727     DOI: 10.1088/0031-9155/57/16/5075

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


  25 in total

1.  DTI template-based estimation of cardiac fiber orientations from 3D ultrasound.

Authors:  Xulei Qin; Baowei Fei
Journal:  Med Phys       Date:  2015-06       Impact factor: 4.071

2.  Characterization of transverse isotropy in compressed tissue-mimicking phantoms.

Authors:  Matthew W Urban; Manuela Lopera; Sara Aristizabal; Carolina Amador; Ivan Nenadic; Randall R Kinnick; Alexander D Weston; Bo Qiang; Xiaoming Zhang; James F Greenleaf
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2015-06       Impact factor: 2.725

3.  Extracting Cardiac Myofiber Orientations from High Frequency Ultrasound Images.

Authors:  Xulei Qin; Zhibin Cong; Rong Jiang; Ming Shen; Mary B Wagner; Paul Kishbom; Baowei Fei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2013-03-29

4.  Imaging technologies for cardiac fiber and heart failure: a review.

Authors:  Shana R Watson; James D Dormer; Baowei Fei
Journal:  Heart Fail Rev       Date:  2018-03       Impact factor: 4.214

5.  Shear wave vibrometry evaluation in transverse isotropic tissue mimicking phantoms and skeletal muscle.

Authors:  Sara Aristizabal; Carolina Amador; Bo Qiang; Randall R Kinnick; Ivan Z Nenadic; James F Greenleaf; Matthew W Urban
Journal:  Phys Med Biol       Date:  2014-12-21       Impact factor: 3.609

6.  Length and activation dependent variations in muscle shear wave speed.

Authors:  L A Chernak; R J DeWall; K S Lee; D G Thelen
Journal:  Physiol Meas       Date:  2013-05-29       Impact factor: 2.833

7.  Mapped Chebyshev pseudo-spectral method for simulating the shear wave propagation in the plane of symmetry of a transversely isotropic viscoelastic medium.

Authors:  Bo Qiang; John C Brigham; Robert J McGough; James F Greenleaf; Matthew W Urban
Journal:  Med Biol Eng Comput       Date:  2016-05-25       Impact factor: 2.602

8.  Investigation of the effects of myocardial anisotropy for shear wave elastography using impulsive force and harmonic vibration.

Authors:  Matthew W Urban; Bo Qiang; Pengfei Song; Ivan Z Nenadic; Shigao Chen; James F Greenleaf
Journal:  Phys Med Biol       Date:  2015-12-16       Impact factor: 3.609

Review 9.  Acoustic waves in medical imaging and diagnostics.

Authors:  Armen P Sarvazyan; Matthew W Urban; James F Greenleaf
Journal:  Ultrasound Med Biol       Date:  2013-04-30       Impact factor: 2.998

10.  Toward 3-D Echocardiographic Determination of Regional Myofiber Structure.

Authors:  Michelle L Milne; Gautam K Singh; James G Miller; Kirk D Wallace; Mark R Holland
Journal:  Ultrasound Med Biol       Date:  2015-11-14       Impact factor: 2.998

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