Analysis method for infant brain medical computer scanning images and realization system
A technology of scanning images and analysis methods, applied in image analysis, computed tomography, computing, etc., can solve the problems of mild mental retardation, single multifractal analysis processing mode and quantitative standard, moderate mental retardation, etc.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0094] This example illustrates the process that the method disclosed in the present invention utilizes the process of realizing the system to process with the brain medical computer scan image of a 2-year-old boy, and the working flow chart of the system is as follows Figure 12 Shown:
[0095] Step 1: scan the original image of the 2-year-old boy's brain medical computer (such as figure 1 shown), convert it to a BMP image in Windows format, and input it into this system;
[0096] The second step: use the image processing module to identify the region of interest on the image input in the first step, and get the following figure 2 the image shown;
[0097] The third step: using the image processing module, the figure 2 The image of the image is segmented by calling the neural network toolbox gatbx and BpNet based on the genetic algorithm on the matlab R2007b platform, and the image of the region of interest is obtained as image 3 shown;
[0098] Step 4: Using the imag...
Embodiment 2
[0102] as per Figure 12 The workflow shown is to analyze the brain CT images of 99 normal infants in Guangzhou Children's Hospital who were scanned in standard positions. , The comparison of the sample mean between different age groups was performed by analysis of variance, and there was a significant difference in single factor analysis (P<0.05) and factors with a P value close to 0.05, the normal value of the statistical fractal dimension index). Divide the 99 cases of infants into four groups, among which group 1 is the newborn group; group 2 is the group of ~12 months; group 3 is the group of ~24 months; group 4 is the group of ~36 months. The obtained fractal analysis results are shown in the table As shown in 1, it can be seen that the fractal dimension varies with different age groups. Among them, the normal brain fractal dimension ranges from 1.88 to 1.90 in the neonatal period, with an average of 1.8913±0.0064; 1.90, with an average value of 1.8927±0.0045; the fract...
Embodiment 3
[0113] Taking 30 cases in Guangzhou Children's Hospital as an example, the 30 cases were first evaluated by using the professional psychomotor development assessment scale of the clinical rehabilitation department. Not knowing the results of another item's assessment prior to the assessment. Each item uses a 4-level scoring method. The environment is set as a quiet, independent room with good lighting, the room temperature is controlled at 20°C-30°C, and the children's clothes are 1-2 layers. In the case of not violating the respective assessment requirements, try to arrange the same family members to be present before and after the assessment , to encourage children to perform at their best level, and the evaluation results obtained are shown in Table 5 (among them, GMFM is the Gross Motor Function Measure score, PDMS series scores are Peabody Gross Motor Development Scale (Peabody Developmental Scale) Measure cale-Gross Motor) indicators score):
[0114] table 5
[0115] ...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
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