Newborn brain development quantitative analysis method based on magnetic resonance diffusion tensor brain image

Abstract

The invention discloses a newborn brain development quantitative analysis method based on a magnetic resonance diffusion tensor brain image. The method comprises the following steps: A, preprocessinga newborn DTI image, which includes data format conversion, image correction and brain tissue extraction; B, carrying out dispersion tensor parameter calculation; c, registering the FA image to an MNIstandard space and calculating an average FA image of the FA image; d, performing symmetry processing on the average FA image; e, extracting an FA skeleton from the average FA image subjected to thesymmetric processing; f, projecting each tested FA image into a symmetrical FA skeleton to obtain each tested FA skeleton diagram; and G, subtracting the FA values of the homologous isobaric voxels ofthe left brain and the right brain to obtain an absolute value of a difference value. By the adoption of the method, quantitative calculation is conducted on the brain white matter asymmetry index based on the DTI image, so that quantitative analysis on the brain development condition of the newborn is achieved.

Description

technical field [0001] The invention relates to medical imaging and magnetic resonance imaging (MRI) image processing technology, in particular to a method for quantitative analysis of neonatal brain development based on magnetic resonance diffusion tensor brain imaging. Background technique [0002] Magnetic resonance imaging (MRI) diffusion tensor imaging (Diffusion Tensor Imaging, DTI), clinically also known as diffusion tensor imaging. The principle of DTI is to indirectly observe the microstructural properties of brain white matter tissue by measuring the degree and direction of water molecule diffusion in the tissue. DTI imaging is currently the only technique that can display the direction of the white matter nerve fiber bundles in a non-destructive way in a living body, so it is widely used in clinical and human brain science research. Among them, white matter asymmetry is generally regarded as a biomarker of human brain development, especially with regard to brain ...

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Problems solved by technology

However, there is great controversy about whether it can be used as a developmental indicator, especially during neonatal development, accompanied by dendritic branching, synapse formation, and apoptosis, which in turn lead to a decrease in FA

[0005] Therefore, the above-mentioned problems lead to the lack of a reliable quantitative analysis method and its indicators that can be used to measure the development of neonatal white matter.

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