title: Model independent MRE data analysis.
abstract: 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.
authors: Hokkaido University, Sapporo 060-0810, Japan. y4kw@math.sci.hokudai.ac.jp
authors: Kogo
authors: K
authors: Yoshikawa
authors: Gen
authors: G
authors: Nakamura
mesh_terms: D019295:Computational Biology; D054459:Elasticity Imaging Techniques / Q000706:statistics & numerical data*; D005583:Fourier Analysis; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D016014:Linear Models; D015233:Models, Statistical; D019047:Phantoms, Imaging; D059629:Signal-To-Noise Ratio
references: IEEE Trans Biomed Eng. 2003 Jul;50(7):908-15
references: 12848359
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