Analysis method based on multimodal image data and application thereof

A technology of image data and analysis methods, applied in the field of medical image processing and its application, can solve the problems of single target, ignoring the importance of individualized intervention treatment plan, etc.

Inactive Publication Date: 2019-04-09
FUDAN UNIV
View PDF6 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] It has been reported that tDCS is applied to the intervention treatment of depression, but the clinical research results show that the intervention treatment effects for different individuals are not consistent. The analysis shows that the main reason for this phenomenon is that there are large individual differences among individuals. The target of tDCS intervention therapy is relatively single (mainly the dlPFC of the prefrontal cortex), while ignoring the importance of individualized intervention treatment plan

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
  • Analysis method based on multimodal image data and application thereof
  • Analysis method based on multimodal image data and application thereof
  • Analysis method based on multimodal image data and application thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] Embodiment 1 clinical trial research

[0036] 1) Determine the reference parameters of multimodal image monitoring:

[0037] High-resolution T1-weighted structural imaging (T1-weighted): echo time (TE) 2.52 milliseconds; repetition time (TR) 1900 milliseconds; inversion time (TI) 900 milliseconds; inversion angle 9 degrees; slice 176; thickness 1 mm; resolution 256×256, voxel size 1×1×1 cubic millimeter;

[0038] Resting state functional imaging: echo time (TE) 30 milliseconds; repetition time (TR) 2000 milliseconds; inversion time (TI) 900 milliseconds; inversion angle 90 degrees; slice 32; slice thickness 3 mm; slice interval 1 mm ;Resolution 64×64, voxel size 3×3×3 mm3;

[0039] Diffusion tensor imaging: A standard 8-channel head coil was used, and DTI scanning was performed using a single-shot spin-echo planar sequence (SS-EPI). TR / TE=5000 / 60 milliseconds, layer thickness 2 mm, interval 0 mm, number of excitations 2, number of layers 60, field of view (FOV): 230×...

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

The invention belongs to the fields of medical image processing and application thereof, and relates to an analysis method based on multimodal image data and application thereof, in particular to a method of accurate detection of human brain structure and dysfunction region and intervention of abnormal region activity based on multimodal nuclear magnetic resonance images. The method comprises analysis of T1 structure images, fMRI function nuclear magnetic resonance images and DTI diffusion tensor images, can accurately position positions in which the both functional structure and functions ofa tested brain are abnormal and evaluate the abnormity degree, provides a medical basis for various brain diseases including depression, can be applied to intervention of abnormal brain region functions by individually and accurately applying transcranial direct current stimulation (tDCS) to specific brain regions, and provides an algorithm basis for accurate calculation of depression stimulationtargets and effect.

Description

technical field [0001] The invention belongs to the field of medical image processing and its application, and relates to an analysis method based on multimodal image data and its application, in particular to an analysis method for integrating multimodal nuclear magnetic resonance image data. The method includes T1 structural images, fMRI functional nuclear magnetic Analysis of resonance images and DTI diffusion tensor images. Background technique [0002] The prior art discloses non-invasive neuroimaging technology represented by nuclear magnetic resonance, which helps to understand the structure and function of the brain with unprecedented spatiotemporal resolution and precision, and further explore its relationship with gender, age, memory, emotion, etc. , various cognitive abilities, and various brain diseases. At present, MRI images have been used to study the mechanism of different brain diseases. The information provided by different imaging technologies has certain...

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 Applications(China)
IPC IPC(8): A61B5/00A61B5/055
CPCA61B5/055A61B5/4064A61B5/72
Inventor 冯建峰张捷刘曌雯王继军唐莺莹
Owner FUDAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products