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Model Independent MRE Data Analysis
For the diagnosing modality called MRE (magnetic resonance elastography), the displacement vector of a wave propagating in a human tissue can be measured. The average of the local wavelength from this measured data could be an index for the diagnosing, because the local wave length becomes larger wh...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3638697/ https://www.ncbi.nlm.nih.gov/pubmed/23653669 http://dx.doi.org/10.1155/2013/912920 |
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author | Yoshikawa, Kogo Nakamura, Gen |
author_facet | Yoshikawa, Kogo Nakamura, Gen |
author_sort | Yoshikawa, Kogo |
collection | PubMed |
description | For the diagnosing modality called MRE (magnetic resonance elastography), the displacement vector of a wave propagating in a human tissue can be measured. The average of the local wavelength from this measured data could be an index for the diagnosing, because the local wave length becomes larger when the tissue is stiffer. By assuming that the local form of the wave is given approximately as multiple complex plane waves, we identify the real part of the complex linear phase of the strongest plane wave of this multiple complex plane waves, by first applying the FBI transform (Fourier-Bros-Iagolnitzer transform) with an appropriate size of Gaussian window and then taking the maximum of the modulus of the transform with respect to the Fourier variable. The real part of the linear phase is nothing but the real inner product of the wave vector and the position vector. Similarly the imaginary part of the linear phase describes the attenuation of the wave and it is given as a real inner product of a real vector and the position vector. This vector can also be recovered by our method. We also apply these methods to design some denoising and filtering for noisy MRE data. |
format | Online Article Text |
id | pubmed-3638697 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-36386972013-05-07 Model Independent MRE Data Analysis Yoshikawa, Kogo Nakamura, Gen Comput Math Methods Med Research Article For the diagnosing modality called MRE (magnetic resonance elastography), the displacement vector of a wave propagating in a human tissue can be measured. The average of the local wavelength from this measured data could be an index for the diagnosing, because the local wave length becomes larger when the tissue is stiffer. By assuming that the local form of the wave is given approximately as multiple complex plane waves, we identify the real part of the complex linear phase of the strongest plane wave of this multiple complex plane waves, by first applying the FBI transform (Fourier-Bros-Iagolnitzer transform) with an appropriate size of Gaussian window and then taking the maximum of the modulus of the transform with respect to the Fourier variable. The real part of the linear phase is nothing but the real inner product of the wave vector and the position vector. Similarly the imaginary part of the linear phase describes the attenuation of the wave and it is given as a real inner product of a real vector and the position vector. This vector can also be recovered by our method. We also apply these methods to design some denoising and filtering for noisy MRE data. Hindawi Publishing Corporation 2013 2013-04-04 /pmc/articles/PMC3638697/ /pubmed/23653669 http://dx.doi.org/10.1155/2013/912920 Text en Copyright © 2013 K. Yoshikawa and G. Nakamura. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Yoshikawa, Kogo Nakamura, Gen Model Independent MRE Data Analysis |
title | Model Independent MRE Data Analysis |
title_full | Model Independent MRE Data Analysis |
title_fullStr | Model Independent MRE Data Analysis |
title_full_unstemmed | Model Independent MRE Data Analysis |
title_short | Model Independent MRE Data Analysis |
title_sort | model independent mre data analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3638697/ https://www.ncbi.nlm.nih.gov/pubmed/23653669 http://dx.doi.org/10.1155/2013/912920 |
work_keys_str_mv | AT yoshikawakogo modelindependentmredataanalysis AT nakamuragen modelindependentmredataanalysis |