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Wavelet MRE: Imaging propagating broadband acoustic waves with wavelet-based motion-encoding gradients.
Le, Yuan; Chen, Jun; Rossman, Phillip J; Bolster, Bradley; Kannengiesser, Stephan; Manduca, Armando; Glaser, Kevin J; Sui, Yi; Huston, John; Yin, Ziying; Ehman, Richard L.
Afiliação
  • Le Y; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Chen J; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Rossman PJ; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Bolster B; MR Collaborations, Siemens Medical Solutions USA, Inc., Malvern, Pennsylvania, USA.
  • Kannengiesser S; MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
  • Manduca A; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Glaser KJ; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Sui Y; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Huston J; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Yin Z; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Ehman RL; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Magn Reson Med ; 91(5): 1923-1935, 2024 May.
Article em En | MEDLINE | ID: mdl-38098427
ABSTRACT

PURPOSE:

To demonstrate a novel MR elastography (MRE) technique, termed here wavelet MRE. With this technique, broadband motion sensitivity is achievable. Moreover, the true tissue displacement can be reconstructed with a simple inverse transform.

METHODS:

A wavelet MRE sequence was developed with motion-encoding gradients based on Haar wavelets. From the phase images' displacement was estimated using an inverse transform. Simulations were performed using a frequency sweep and a transient as ground-truth motions. A PVC phantom was scanned using wavelet MRE and standard MRE with both transient (one and 10 cycles of 90-Hz motion) and steady-state dual-frequency motion (30 and 60 Hz) for comparison. The technique was tested in a human brain, and motion trajectories were estimated for each voxel.

RESULTS:

In simulation, the displacement information estimated from wavelet MRE closely matched the true motion. In the phantom test, the MRE phase data generated from the displacement information derived from wavelet MRE agreed well with standard MRE data. Testing of wavelet MRE to assess transient motion waveforms in the brain was successful, and the tissue motion observed was consistent with a previous study.

CONCLUSION:

The uniform and broadband frequency response of wavelet MRE makes it a promising method for imaging transient, multifrequency motion, or motion with unknown frequency content. One potential application is measuring the response of brain tissue undergoing low-amplitude, transient vibrations as a model for the study of traumatic brain injury.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Técnicas de Imagem por Elasticidade Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Técnicas de Imagem por Elasticidade Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article