Construction method for health people white matter fiber tract atlas

Abstract

The invention relates to a construction method for a health people white matter fiber tract atlas. The method comprises the steps that through seeking the corresponding relationship between individual gray matter structure space and DTI space, the information of the tensor image average space of group people is calculated, and the DTI data of individuals are transformed into the average space; parameters jointly registered by a magnetic resonance anatomical structure image and an MNI standard form are integrated with registration parameters in the group by using related integration means and applied in an individual T1 dataset, and a group transition tensor image template is established; the individual T1 data are registered into the transition template through non-linear registration, and transformation parameters of a T1 structure image registered to the transition template are obtained; the transformation parameters are used in the individual T1 data, the correction for direction of a tensor field on each voxel point is carried out by using methods of keeping the main characteristic direction, the linear average of the voxel point one by one is carried out on the corrected tensor, and finally the diffusion tensor atlas of the specific health people group is obtained.

Description

technical field [0001] The invention relates to the field of diffusion tensor imaging, in particular to a method for constructing a map of white matter fiber tracts in healthy people. Background technique [0002] Diffusion tensor imaging (DTI) is a new method to describe the white matter fiber tracts of the brain that has developed rapidly in recent years, and it is a special form of Magnetic Resonance Imaging (MRI). This imaging method can simulate and reconstruct the diffusion trajectory of water molecules with special diffusion characteristics in the brain, and obtain information on the direction of white matter fiber bundles that is difficult to capture by traditional structural imaging techniques. The construction of brain tensor maps based on diffusion tensor imaging is a very important research direction in the framework of neuroimaging research. The researchers used modern neuroimaging technology to collect diffusion tensor image data of a large sample of healthy p...

AI Technical Summary

Problems solved by technology

[0005] The current DTI map construction mainly faces the following problems: First, use objective and accurate reference images for image registration

However, the international standard template is based on a large sample of healthy Caucasian population datasets of multiple ages, so it cannot reflect the structural characteristics of the white matter of the healthy Chinese population at a specific age, resulting in potential calibration bias in the image registration process. lead to inaccurate results

Images