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

A brain anatomy teaching system based on magnetic resonance imaging

A teaching system, magnetic resonance technology, applied in the field of brain anatomy teaching system, can solve the problem that the digital three-dimensional model structure cannot be confirmed by the correlation of the two-dimensional image structure, cannot meet the requirements of modern medical teaching, and the separation of anatomy and imaging teaching increases learning Difficulty and other issues

Pending Publication Date: 2019-02-05
迈格生命科技(深圳)有限公司
View PDF4 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Using cadaver specimens for anatomy teaching is the most intuitive, but due to limited specimen resources, it cannot meet the current teaching quantity needs
The use of brain atlas images for teaching is the most cost-effective and the most widely used method. However, since the current human brain anatomy and imaging education are separated, students need to use their own imagination to create two-dimensional images and three-dimensional brain images during the learning process. The correlation between structures, the identification of some fine brain regions in the image itself is very difficult, and the separation of anatomy and imaging teaching makes learning more difficult
[0005] Using computer digital 3D models for demonstration teaching is now the most popular and commonly used method, but there are still many defects: First, the structure in the pure digital 3D model cannot be confirmed by the structural correlation with the actual 2D image. In the teaching process, we can only rely on imagination
[0006] In summary, in the teaching of medical imaging, the teaching of image recognition technology (skills) by marking and punctuating can no longer meet the teaching requirements (level) of modern medicine, whether it is the accuracy of teaching or the degree of understanding of students. , can not achieve the desired effect

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
  • A brain anatomy teaching system based on magnetic resonance imaging
  • A brain anatomy teaching system based on magnetic resonance imaging
  • A brain anatomy teaching system based on magnetic resonance imaging

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0030] This example is randomly collected brain magnetic resonance imaging data of any individual. The original brain magnetic resonance image data provides three sets of standard DICOM grayscale image files of cross section, sagittal plane and coronal plane.

[0031] After obtaining the data file, we use the brain atlas method to segment the brain region. The method is to use registration to map the image to be segmented to the template that has been segmented, and then transform the segmentation result to the original image through the mathematical inverse transformation operator. space, so as to obtain the segmentation result of the original input image. Using these segmentation results for 3D reconstruction, the 3D model data of a single brain region can be obtained. Using a fixed calculation method, each brain region can be independently analyzed and related quantitative data can be obtained.

[0032]The purpose of the large deformation differential homeomorphism (LDDMM)...

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 provides a brain anatomy teaching system based on magnetic resonance image, By importing the MRI data of real cases which had been segmented and reconstructed automatically in advance, In order to realize one-key interaction between two-dimensional images and three-dimensional brain anatomy, two-dimensional segmentation structure display and digital three-dimensional model demonstration of any single brain region and multi-brain regions are provided, which provides a scheme for the teaching of brain anatomy based on real cases.

Description

technical field [0001] The invention belongs to the field of medical image processing technology and medical teaching, in particular to a brain anatomy teaching system based on magnetic resonance images. Background technique [0002] With the in-depth application of computer technologies such as medical imaging data collection and digital image processing in the medical field, digital teaching has gained a higher and higher status in medical teaching, and has achieved rapid development in recent years. As an important part of the medical field, medical teaching is gradually shifting towards digitization and virtualization. In medical teaching and scientific research, human anatomy is an important basic course, and it is the only way to learn and understand human body structure and medical research. [0003] The existing forms of human brain anatomy teaching include the use of cadaver specimens for anatomy practice, the use of atlas images for brain tissue demonstration, and...

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
IPC IPC(8): G06T3/00G06T7/11
CPCG06T7/11G06T2207/10088G06T2207/10012G06T2207/30016G06T3/08
Inventor 马婷吕海岩徐鹏
Owner 迈格生命科技(深圳)有限公司
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