Related prediction model-based method for detecting structural deformation in magnetic resonance image

A magnetic resonance image, nuclear magnetic resonance image technology, applied in the field of magnetic resonance image medical image processing, can solve the problems of objectivity and repeatability, and achieve the effect of precise geometric structure

Active Publication Date: 2010-06-16
JIANGSU MORNING ENVIRONMENTAL PROTECTION TECH CO LTD +1
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Problems solved by technology

However, due to the influence of factors such as brain sulcus, irregular shapes of fissures, and individual differen

Method used

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  • Related prediction model-based method for detecting structural deformation in magnetic resonance image
  • Related prediction model-based method for detecting structural deformation in magnetic resonance image
  • Related prediction model-based method for detecting structural deformation in magnetic resonance image

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Embodiment Construction

[0035] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0036]Steps in this embodiment: 1) For a group of normal subjects, reconstruct the surface of the cerebral cortex according to their magnetic resonance structural images, and use the elastic deformation registration algorithm to register all the cortical surfaces to the standard template space to construct a set of training samples , and then use the training samples to calculate the structural correlation matrix between vertices on the surface of the cerebral cortex; 2) For the sample to be tested, reconstruct the surface of the cerebral cortex according to its magnetic resonance structural image; 3) On the surface of the cerebral cortex of the subject to be tested Select the area to be detected, and according to the structural correlation matrix calculated in step 1), use the typical correlation prediction model to predict the expected coordinate value of the ve...

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Abstract

The invention relates to a related prediction model-based method for detecting structural deformation in a magnetic resonance image, which is technically characterized in that: a group of normally tested triangular cerebral cortex surfaces which are registered to a standard template is utilized to calculate the structural dependence between the vertex on the group of surfaces and other vertexes; the structural dependence and typical related prediction models are utilized to predict an expected position of the vertex existing in a cerebral atrophy area according to a vertex position of a normal area without structural deformation of the brain; the vertex position obtained by the prediction models is compared with the vertex position before prediction to quantize the deformation on the cerebral cortex surface due to the cerebral atrophy so as to quantize the degree of the structural deformation of the brain resulted from the cerebral atrophy. Compared with other methods, the method has the main advantage that: the method can detect the presence of the structural deformation of the brain and quantize the degree of the structural deformation under the condition that only a single time-point magnetic resonance structure image is available.

Description

technical field [0001] The invention relates to a method for detecting structural deformation in a magnetic resonance image based on a correlation prediction model, and belongs to the fields of magnetic resonance image medical image processing, computational neuroanatomy, and the like. Background technique [0002] The use of magnetic resonance images as an auxiliary diagnosis of brain diseases has been a common method. The use of computer medical image processing technology for magnetic resonance images is more scientific for the identification of brain magnetic resonance images. At present, the quantification of brain structural deformation in magnetic resonance images is One of the index parameters for medical image processing. [0003] Current methods for quantifying structural deformation of the brain due to brain atrophy in MRI images can broadly be divided into two categories. One is based on multi-time-point magnetic resonance structural images. This type of method...

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Application Information

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IPC IPC(8): G06T7/00A61B5/055
Inventor 郭雷胡新韬张拓聂晶鑫李刚刘天明李凯明
Owner JIANGSU MORNING ENVIRONMENTAL PROTECTION TECH CO LTD
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