Signal antinoise method based on partial frequency spectrum data signal reconfiguration

A spectrum data and signal reconstruction technology, applied in the field of magnetic resonance imaging fidelity signal noise removal, medical imaging detection, can solve the problems of reducing equipment use efficiency, signal loss, time-consuming observation signal and equipment occupation time, etc.

Inactive Publication Date: 2007-11-07
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
In fact, so far, there is no transformat

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  • Signal antinoise method based on partial frequency spectrum data signal reconfiguration
  • Signal antinoise method based on partial frequency spectrum data signal reconfiguration
  • Signal antinoise method based on partial frequency spectrum data signal reconfiguration

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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] The present invention collects the complete k-space data from the actual magnetic resonance equipment, and then takes out part of the spectrum data, and its phase encoding range is -N / 2~N / 2-1, wherein N is the phase encoding number of the complete K-space data, And use the complex singular spectrum analysis imaging method (CSSA method) of partial spectral data to reconstruct the magnetic resonance image, and then achieve the purpose of denoising, so this method is called partial spectral data signal reconstruction denoising method (DSRPSD, Denoising by Signal Reconstruction from Partial Spectrum Data).

[0066] Before elaborating the overall working process and working principle of the present invention, in order to clarify its technical meaning more clearly, the following definitions need to be given at first:

[0067] Definition 1: ...

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Abstract

The invention relates to signal noise removing method based on parts of frequency spectrum data signal reconstruction. It includes the following steps: collecting intact K spatial data G(kx, ky) from magnetic resonance imaging scanner; taking out parts of frequency spectrum data to reconstruct many observing signals; utilizing multiple observing signal averaging to process image signal noise removing. The invention combines the advantages of the multiple and single observing signal noise removing method that it can save scanning time, increase signal noise ratio. This method is effective and practical, has stable and reliable working performance, can be used in general signal noise removing.

Description

technical field [0001] The invention relates to the technical field of medical imaging detection, in particular to the field of magnetic resonance imaging fidelity signal denoising, and specifically refers to a signal denoising method based on partial spectral data signal reconstruction. 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 magnitude o...

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Application Information

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IPC IPC(8): G01R33/54
CPCG06T5/002G06T2207/30016G06T5/10G06T2207/10072
Inventor 骆建华朱跃敏
Owner 骆建华
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