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Signal noise removing method based on reconstruction signal substituting frequency spectrum data

A technology for reconstructing signal and spectrum data, applied in image data processing, sensors, diagnosis, etc., can solve the problems of time-consuming and expensive equipment occupied by observing signals, not being solved well, reducing equipment use efficiency, etc., to avoid high frequency signal loss, image noise removal, high-resolution effects

Inactive Publication Date: 2008-03-05
骆建华
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Problems solved by technology

[0009] (2) Repeated collection of observation signals is time-consuming and takes up equipment time, reducing the efficiency of equipment use
[0013] In fact, so far, there is no transformation that can strictly distinguish the real signal in the observed signal from the noise transformation coefficient, so it is inevitable that there will be more or less signal loss. In short, the core problem of single signal denoising—— The problem of signal distortion is still not well resolved

Method used

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  • Signal noise removing method based on reconstruction signal substituting frequency spectrum data
  • Signal noise removing method based on reconstruction signal substituting frequency spectrum data
  • Signal noise removing method based on reconstruction signal substituting frequency spectrum data

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Embodiment Construction

[0064] In order to understand the technical content of the present invention more clearly, the following examples are given in detail.

[0065] Before elaborating the overall working process and working principle of the present invention, in order to clarify its technical meaning, it is first necessary to introduce the singular spectrum model as follows:

[0066] According to the singular spectrum analysis theory (see literature: Luo Jianhua and Yuemin Zhu, MR image Reconstruction From truncated k-space using a layer singular point extraction technique. IEEE Transactions on Nuclear Science, 2004.1, Vol.51, No.1; 157: 169) , any signal f(x) can be expressed as a weighted sum of singular functions, namely:

[0067] f ( x ) = Σ q = 1 Q a q w b ...

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Abstract

The method comprises: extracting the singular point and singular value from the observed signal g(x); using the singular point and singular value to construct the relevant singular function; using the frequency spectrum zero-setting threshold preset by the system to construct the noise-removing function and permutation function; according to said result, using the reconstructed signal substitution method to get the noise-removed signals.

Description

technical field [0001] The invention relates to the technical field of signal and medical image processing, in particular to the field of magnetic resonance imaging fidelity signal denoising, and specifically refers to a signal denoising method based on reconstructed signal instead of spectrum data. Background technique [0002] With the continuous development of modern medical technology, magnetic resonance imaging (MRI) technology has become an indispensable means in the field of medical imaging detection. Among them, the magnetic resonance signal space (raw data space) is called K space, which is Fourier The space is transformed, the K space is sampled to the signal and then the modulus is taken after the inverse Fourier transform, and the nuclear magnetic resonance (MR) image is obtained. [0003] Common image signals contain various noises, and noise can be divided into additive noise and multiplicative noise. The magnitude of multiplicative noise is proportional to the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R33/54G01R33/56A61B5/055
CPCG06T5/002G06T5/10G06T5/001G06T5/70
Inventor 骆建华
Owner 骆建华
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