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A Method of Imaging White Matter Fibers Based on Population Tracking

An imaging method and white matter technology, applied in the fields of neuroanatomy and medical imaging, can solve the problems of poor stability, high dependence on local fiber orientation reconstruction models, and high sensitivity to signal noise and model errors.

Active Publication Date: 2018-08-17
杭州博医微视科技有限公司
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Problems solved by technology

[0004] In order to overcome the shortcomings of the existing brain white matter fiber imaging methods, such as high sensitivity to signal noise and model errors, high dependence on the local fiber direction reconstruction model, and poor stability, the present invention provides a method that reduces the need for signal Sensitivity to noise and model errors, reduced dependence on local fiber direction reconstruction model, and high stability white matter fiber imaging method based on group tracking

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  • A Method of Imaging White Matter Fibers Based on Population Tracking
  • A Method of Imaging White Matter Fibers Based on Population Tracking
  • A Method of Imaging White Matter Fibers Based on Population Tracking

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Embodiment Construction

[0045] The present invention will be further described below.

[0046] A method for brain white matter fiber imaging based on group tracking, comprising the steps of:

[0047] 1) Fiber individual tracking direction estimation

[0048] In the traditional tracking process, the extremum vector estimated by the voxel direction distribution of the current tracking point of the fiber individual is used as the propagation direction. Pixel-level direction resolution, that is, the position change of the tracking point in the same voxel does not affect the allocation of the tracking direction;

[0049] In order to realize the sub-voxel-level direction observation of the diffusion signal and make full use of the structural direction information existing in the neighborhood voxels, the current tracking Point direction observation;

[0050] For the multi-fiber local direction distribution model, the vector closest to the historical propagation direction in the fiber direction distributi...

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Abstract

The present invention provides an alba fiber imaging method based on colony tracking. The method comprises the following steps: 1) the estimation of the fiber individual tracking direction: observing the voxel level direction of diffusion signal, fully employing the structuring direction information existing in the neighborhood voxel, and observing the direction of the current tracking points according to the interpolation of the neighborhood voxel main diffusion direction on the fiber individual historical tracking direction; 2) the estimation of the fiber colony tracking direction: employing a group tracking method based on the random matrix for the fiber colony tracking direction, describing the fiber colony tracking direction by using the state iteration update process based on the Bayes framework, and realizing the non-determinacy filtering caused by measurement of noise and motion model noise, where the model is similar to the simple mode of the Kalman filter; and performing the fiber bundle group object state tracking through the model. The alba fiber imaging method based on colony tracking is able to reduce the sensitivity for the signal noise and the model error and the dependence on the local fiber direction reconstruction module and is high in stability.

Description

technical field [0001] The invention relates to the fields of medical imaging and neuroanatomy under computer graphics, in particular to a brain white matter fiber imaging method. Background technique [0002] The brain is a comprehensive organ that controls complex functional activities such as logical thinking, learning and memory, movement and emotion. The exploration of the working mechanism of the human brain is the frontier and hot spot of current scientific research. By imaging the spatial microstructure information of brain fibers with anatomical significance, white matter fiber reconstruction technology has become an important technical means for brain science research such as exploring the cognitive mechanism of the brain, pathological analysis of neurological diseases, and brain surgery navigation. The development of technology has received the common attention of researchers related to information and neuroscience. Diffusion Weighted Imaging (DWI) is based on MR...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/20G06T7/246G06T7/00
CPCG06T7/0012
Inventor 冯远静何建忠吴烨张军徐田田周思琪黄奕奇
Owner 杭州博医微视科技有限公司