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Cerebrum cognitive status recognition method based on cerebral function imaging

A technology of brain function and state, applied in the field of medical image processing, can solve the problem of whether it is in the task block stage or the control block stage, and achieve the effect of convenient data calculation and analysis

Inactive Publication Date: 2013-08-21
SHANDONG UNIV
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Problems solved by technology

However, these methods are powerless when the cognitive state of the brain is unknown (i.e. it is not known whether the current brain scan image is in the task chunking phase or the control chunking phase).

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  • Cerebrum cognitive status recognition method based on cerebral function imaging
  • Cerebrum cognitive status recognition method based on cerebral function imaging
  • Cerebrum cognitive status recognition method based on cerebral function imaging

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Embodiment Construction

[0036] The present invention is further described below in conjunction with accompanying drawing, step method is as follows figure 1 Shown:

[0037] A. Input brain MRI image experiment data sequence

[0038]The experimental data sequence of brain magnetic resonance images has two different conditions in the whole experimental process, forming task blocks and control blocks respectively. Each block lasts for a certain period of time and appears alternately in continuous scans; figure 2 As shown, at regular intervals, the machine will take a weighted image of the whole brain, which constitute a discrete time series, such as image 3 As shown, it is recorded as {f(n)}, n is a positive integer; therefore, the duration of the block can be replaced by the number of scanned images, the length l of {f(n)} is the total number of images determined by the number of cycles L of the experiment and cycle length, that is, l=L×(c+t), where c and t are the images of the control and tasks o...

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Abstract

The invention discloses a cerebrum cognitive status recognition method based on cerebral function imaging, comprising the following steps of: inputting experimental data series of cerebral nuclear magnetic resonance images; preprocessing the experiment data of the cerebral nuclear magnetic resonance images; establishing a multidimensional data set which includes a cerebrum coordinate dimension, acerebrum area dimension, an experiment time sequence dimension and a cognitive status dimension; extracting features; classifying and identifying the statuses. The invention extracts feature vectors from cerebral images of cerebra knowing the task statuses to train a support vector classifier, and classify the cognitive status for the feature vectors of an unknown cerebral image using the classifier. If the unknown cerebral image belongs to some category, then the cognitive state the category belongs to is identified as the cognitive status of the unknown cerebral image, thereby achieving theaim of cerebrum cognitive status recognition. The multidimensional data set of cerebral images of the invention are used for secondary analysis, treatment and integration of the cerebral images, thereby enabling the data calculation and analysis of the cerebral images to be more convenient, faster and more visual.

Description

technical field [0001] The invention relates to a method for identifying the cognitive state of the brain based on brain functional imaging using three-dimensional magnetic resonance scanning images, and belongs to the field of medical image processing. Background technique [0002] More and more scholars use functional Magnetic Resonance Imaging (fMRI) to study brain function. When the blood oxygen in the microvessels of the cerebral cortex changes, it will cause changes in the uniformity of the local magnetic field, which is called blood oxygen level dependence. (Blood Oxygenation-Level Dependent, BOLD), fMRI technology can detect the BOLD of the brain during cognitive tasks, so as to study the high-level neural activities of the brain. One of the standard fMRI experimental designs is called Blocked Designs. There are two different conditions in the experiment, forming task blocks (Task blocks) and control blocks (Control block) respectively. In the task blocks, the subje...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06T7/00
Inventor 汲业李明
Owner SHANDONG UNIV
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