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Motion Estimation Method for Movie MRI Image Sequences Based on Single Signal Feature Distance and Cross-correlation Transform Optical Flow Algorithm

A technology of film nuclear magnetic resonance and single-play signal, which is applied in image enhancement, image analysis, image data processing, etc., and can solve problems such as difficult to find in nuclear magnetic resonance imaging and difficulty in motion estimation

Active Publication Date: 2018-07-03
HARBIN INST OF TECH
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Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that it is difficult to find dense corresponding feature points in nuclear magnetic resonance imaging technology, and the motion estimation of movie nuclear magnetic resonance images is more difficult than that of marked nuclear magnetic resonance images. Motion Estimation Method for Movie MRI Image Sequences Based on Signal Feature Distance and Cross-Correlation Transform Optical Flow Algorithm

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  • Motion Estimation Method for Movie MRI Image Sequences Based on Single Signal Feature Distance and Cross-correlation Transform Optical Flow Algorithm
  • Motion Estimation Method for Movie MRI Image Sequences Based on Single Signal Feature Distance and Cross-correlation Transform Optical Flow Algorithm
  • Motion Estimation Method for Movie MRI Image Sequences Based on Single Signal Feature Distance and Cross-correlation Transform Optical Flow Algorithm

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specific Embodiment approach 1

[0033] Specific Embodiment 1: The method for motion estimation of movie nuclear magnetic resonance image sequences based on single-cast signal feature distance and cross-correlation transformation optical flow algorithm in this embodiment is specifically prepared according to the following steps:

[0034] Step 1. Use spatial quadrature filters (SQFs) to extract the three features of the single-cast signal, such as local phase, local orientation, and local amplitude, from the movie MRI image, and combine the three features to construct a three-dimensional single-cast signal feature matrix; and three kinds of features are independent of each other; wherein, setting any two adjacent images in the movie nuclear magnetic resonance image sequence is I 1 and I 2 The movie MRI image is specifically the most commonly used and common MRI examination method in medical diagnosis.

[0035]The two-dimensional analytical signal is an extension of the one-dimensional analytical signal. The o...

specific Embodiment approach 2

[0056] Specific embodiment 2: The difference between this embodiment and specific embodiment 1 is that in step 1, the spatial orthogonal filter consists of 1 even-order filter h e (x) and 2 odd order filters h o1 (x) and h o2 (x) composition; wherein, x=(x, y) is the coordinate of any point pixel in the movie nuclear magnetic resonance image. Other steps and parameters are the same as those in Embodiment 1.

specific Embodiment approach 3

[0057] Embodiment 3: The difference between this embodiment and Embodiment 1 or 2 is that in step 1, spatial quadrature filters (spherical quadrature filters, SQFs) are used to extract the local phase, local orientation and local amplitude of the monophonic signal. The specific process of constructing the three-dimensional single-cast signal feature matrix by combining the three features is as follows: image 3 :

[0058] (1), because the high-frequency information can reflect the details of the image, the Butterworth high-pass filter is used; the formula in the frequency domain is as follows:

[0059]

[0060] Among them, ω c is the cut-off frequency of the filter; n is the order of the Butterworth high-pass filter; H e ( ) is an even-order filter in the frequency domain obtained after Fourier transform;

[0061] (2) The odd filter is calculated by the even filter, and the calculation formula in the frequency domain is as follows:

[0062]

[0063] ω=[ω x ,ω y ] ...

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Abstract

The invention provides a movie nuclear magnetic resonance image sequence motion estimation method based on a monogenic signal characteristic distance and a cross-correlation transform optical flow algorithm, relating to a movie nuclear magnetic resonance image sequence motion estimation method. The problem that intensive corresponding characteristic points are difficult to find by the movie nuclear magnetic resonance imaging technology and the motion estimation of a movie nuclear magnetic resonance image is more difficult than the motion estimation of a marked nuclear magnetic resonance image is mainly solved. The method comprises the steps of (1) combining three characteristics to construct a three-dimensional monogenic signal characteristic matrix, (2) using a formula based on a zero-mean normalized cross correlation coefficient to calculate a matching characteristic Ed(V), (3) limiting the smooth characteristic Es(V) of a movie nuclear magnetic resonance image local characteristic, and (4) expressing a matching characteristic term Ed(V) and the smooth characteristic Es(V) of the movie nuclear magnetic resonance image local characteristic as a combined energy formula, assuming the minimization of the formula, and obtaining a motion estimation displacement. The method is applied to the movie nuclear magnetic resonance image sequence motion estimation field.

Description

technical field [0001] The invention relates to a motion estimation method for a film nuclear magnetic resonance image sequence, in particular to a motion estimation method for a film nuclear magnetic resonance image sequence based on a single signal feature distance and a cross-correlation transformation optical flow algorithm. Background technique [0002] Cardiac insufficiency is a common clinical syndrome. Severe conditions can lead to the appearance of heart failure symptoms. Early assessment and prediction of myocardial movement characteristics of patients are of great significance for the diagnosis and treatment of heart diseases. The motion estimation and tracking of myocardial motion is of great significance for the quantitative evaluation of clinical cardiac function and image-guided surgical navigation, and also has an important guiding role for non-rigid body modeling and motion simulation in the field of medical engineering. Heart disease, especially cardiovascu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/246G06T7/33
CPCG06T2207/10024G06T2207/10088G06T2207/20028G06T2207/20048G06T2207/30048
Inventor 刘宛予高镔帕特里克·克拉里斯
Owner HARBIN INST OF TECH
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