Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Time series analysis method of nuclear magnetic resonance for brain functions based on constrained optimization

A time series analysis, nuclear magnetic resonance technology, applied in the fields of medical science, sensors, diagnostic recording/measurement, etc., to achieve the effect of flexible expansion of the method

Inactive Publication Date: 2007-01-17
INST OF AUTOMATION CHINESE ACAD OF SCI
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Compared with the general linear model, although the deconvolution model improves the sensitivity to a certain extent, studies have shown that the hemodynamic changes between each stimulus (trial) of the human brain are different. The product model is useless

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Time series analysis method of nuclear magnetic resonance for brain functions based on constrained optimization
  • Time series analysis method of nuclear magnetic resonance for brain functions based on constrained optimization
  • Time series analysis method of nuclear magnetic resonance for brain functions based on constrained optimization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0037] 1. Estimate the hemodynamic function of a single pixel

[0038] Selected time series such as figure 2 . There are 13 stimuli and 91 time points.

[0039] We first estimate the hemodynamic function of the pixel, the result is: [3.26 5.38 0.50 -3.92 -3.96 -4.46 -2.57]

[0040] 2. Estimate the hemodynamic function of different stimuli

[0041] Using the hemodynamic function of the pixel estimated in the first step and constrained optimization (see equation (2)), we can obtain the hemodynamic function of each stimulus (see image 3 ).

[0042] 3. Statistical hypothesis testing

[0043] method

[0044] By comparison, the F statistic of the method of the present invention is 18.53, while the statistic of the traditional deconvolution method is 16.94. It can be seen that this method is superior to the traditional deconvolution method.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

An NMR time sequence method based on constrained optimization for testing the cerebral functions and diagnosing cerebral diseases includes acquiring functional NMR time sequence, reverse convolution operation to estimate the hamodynamic function of single pixel, estimating the hamadynamic function to different stimulations, optimizing the hamodynamic function, and statistical tentation examining to each pixel one by one.

Description

technical field [0001] The present invention relates to the field of nuclear magnetic resonance technology, in particular to a time-series analysis method of brain function nuclear magnetic resonance based on constraint optimization, which is used in clinical medicine for brain function positioning before surgery, brain disease diagnosis and prognosis evaluation, and brain science research The location of the brain functional area and the functional connection analysis of the brain functional area belong to the intelligent information processing technology. Background technique [0002] Since the birth of functional magnetic resonance imaging fMRI technology, fMRI time series analysis has always been a hot research direction that fMRI researchers from all over the world pay attention to. Generally, fMRI time series analysis algorithms can be divided into two categories: model-driven and data-driven. Due to the physiological rationality and ease of use of the data-driven met...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/055
Inventor 吕英立蒋田仔臧玉峰
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com