Space calibration method and system of three-dimensional brain graph data set
A technology of spatial calibration and brain atlas, applied in the field of image processing, can solve the problems of difficult data registration, unable to extract feature points, unable to process three-dimensional brain atlas, etc., and achieve the effect of low memory consumption
Active Publication Date: 2018-09-21
HUST SUZHOU INST FOR BRAINMATICS
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The method based on automatic feature point extraction is often limited to the accuracy of feature point extraction and feature point matching, and cannot process three-dimensional brain atlases with large grayscale differences or poor image quality; the method based on manual feature point extraction cannot Objectively and sufficiently extracting feature points in 3D brain images, it is difficult to register the data well in the whole brain; and the method based on grayscale can only deal with the data between the same modalities, and the grayscale difference is relatively small. Data between large and different modalities cannot be well registered
[0006] So far, in the existing image registration technology, there is no general image registration method that can widely analyze 3D brain atlas data sets of different individuals, 3D brain atlas data sets of different modalities, and 3D brain atlas data sets of different imaging quality. Atlas data sets, etc. for spatial calibration
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[0043] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. like figure 1 As shown, a general three-dimensional brain atlas data set space calibration method provided by the specific embodiment of the present invention includes the following steps:
[0044] Step S1. Preliminary orientation correction step;
[0045] The preliminary azimuth correction is to perform azimuth correction on the image to be calibrated, which is consistent with the preset reference image azimuth.
[0046] figure 2 (a) The 3D display of the reference image, (b) the 3D display of the image to be calibrated, (c) the 2D coronal plane of the reference image, and (d) the 2D coronal plane of the image to be calibrated. The reference image is selected from the CCFv3 mouse brain atlas dataset, which is a 3D mouse brain atlas dataset widely used in the field of neuroscience; the image to be calibrated is selected from the structured l...
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The invention provides a space calibration method and system of a three-dimensional brain graph data set. The space calibration method of the three-dimensional brain graph data set comprises the following steps: S1, preliminary orientation correction; S2, feature segmentation; S3, down-sampling; S4, linear registration; S5, nonlinear registration; S6, up-sampling; and S7, linear and nonlinear correction. According to the method, problems of difficult space calibration and inaccurate calibration of three-dimensional brain graph data sets of different individuals, three-dimensional brain graph data sets of different modalities, three-dimensional brain graph data sets of different imaging quality and the like are overcome, a more objective, accurate and sufficient feature extraction manner isadopted, and space calibration of the three-dimensional brain graph data sets of the different individuals, the three-dimensional brain graph data sets of the different modalities, the three-dimensional brain graph data sets of the different imaging quality and the like is realized. The method has certain versatility.
Description
technical field [0001] The invention relates to the field of image processing, in particular to a method and system for spatial calibration of a three-dimensional brain atlas data set. Background technique [0002] With the development of imaging technology in brain science research, researchers can perform high-resolution imaging of the whole brain, and the imaging can even reach the level of a single neuron, which provides us with the opportunity to study the connection and projection of neurons in different brain regions. opportunity. However, due to the individual differences between different brains, the brain deformation brought about by the sample production process has brought certain difficulties to us in the analysis of the connection between neurons, the drawing of maps and the segmentation of brain regions. How to quickly calibrate brain atlas datasets with cytoarchitecture information of different individuals, different modalities, and different imaging qualiti...
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CPCG06T2207/20016G06T2207/30016G06T7/33
Inventor龚辉倪鸿骆清铭李安安陈尚宾
OwnerHUST SUZHOU INST FOR BRAINMATICS