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

Brain tumor MIB-1 index range detection method

A MIB-1, detection method technology, applied in the fields of instruments, character and pattern recognition, computer parts, etc., can solve the problem of insufficient standardization of immunohistochemical techniques and quantification of results, and the detection results are susceptible to the subjective influence of the testing personnel, and cannot be guided. Formulate preoperative treatment plans and other issues to achieve the effect of avoiding subjective influence, avoiding insufficient standardization and low cost

Inactive Publication Date: 2012-06-20
ZHEJIANG UNIV
View PDF4 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the prior art, the most widely used clinical detection method for MIB-1 index is immunohistochemical technique, which needs surgery to obtain the patient's glioma pathological section before detection, which causes great trauma to the patient and cannot guide Develop a preoperative treatment plan
An article "The Correct Application of Immunohistochemistry in Pathological Diagnosis" published on pages 232-235 of "Journal of Diagnostic Pathology" in 2003 showed that immunohistochemical techniques have deficiencies in standardization and quantification of results, and the test results are vulnerable to The subjective influence of the tester
At present, there is no method for MIB-1 index range detection based on image processing and pattern recognition technology

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
  • Brain tumor MIB-1 index range detection method
  • Brain tumor MIB-1 index range detection method
  • Brain tumor MIB-1 index range detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] Such as figure 1 A method for detecting the range of brain tumor MIB-1 index includes the following steps:

[0047] S1 collects magnetic resonance images of brain tumor patients and constructs image training samples of lesion regions;

[0048] In this step, the magnetic resonance images include any one or more of T1-weighted sequences, T1-enhanced sequences, and FLAIR sequences, and the specific acquisition methods are as follows:

[0049] A magnetic resonance scanner (such as GE Healthcare, 1.5T) is used to acquire magnetic resonance images in the transverse, coronal or sagittal positions of glioma patients, and the magnetic resonance images include T1-weighted sequences, T1-enhanced sequences and FLAIR sequences. Among them, the imaging parameters of T1 weighted sequence are preferably Repetition Time=1966.1ms, Echo Time=21.088ms, Inversion Time=750ms; the imaging parameters of T1 enhanced sequence are preferably Repetition Time=1967.25ms, EchoTime=7.264ms, Inversion...

Embodiment 2

[0246] Due to the high dimensionality of the image feature sample set of the lesion area, it may contain some redundant image features. On the one hand, these redundant image features may reduce the classification accuracy, and on the other hand, it will greatly increase the computational overhead of the support vector machine. ; Therefore, as a preference, the lesion area image feature sample set can be optimized based on the discrete particle swarm optimization algorithm to obtain the lesion area image optimization feature set; determine the parameters of the support vector machine model according to the lesion area image optimization feature set, effectively reduce the image feature of complexity.

[0247] In particle swarm optimization, each potential solution to an optimization problem can be imagined as a point in the search space, called a particle. The quality of the particle's current position is evaluated by the objective function, and the objective function calculat...

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 relates to a detection method for obtaining a brain tumor MIB-1 index range by analyzing a magnetic resonance image of a patient with brain tumor. The method comprises the following steps of: acquiring the magnetic resonance image of the patient with brain tumor, and forming a lesion area image training sample; extracting image features of the lesion area image training sample, training to obtain a support vector machine model according to the extracted image features of the lesion area image training sample; forming a lesion area image detection sample, and extracting the imagefeatures of the lesion area image detection sample; detecting and obtaining the range of the MIB-1 index of the lesion area image detection sample by the support vector machine model according to theimage features of the lesion area image detection sample. The method solves the defect that the MIB-1 index only can be detected by immune tissue chemical detection after obtaining the brain tumor pathological tissue in operation in the prior art, and avoids the problems of introduction of subjective thought of detectors and poor standardization in the immune tissue chemical detection.

Description

technical field [0001] The invention relates to image processing and recognition technology, in particular to a detection method for obtaining the range of brain tumor MIB-1 index by analyzing magnetic resonance images of brain tumor patients. Background technique [0002] Glioma is the most common tumor of the central nervous system, accounting for about 42% of primary brain tumors. Although with the development of medical technology, the treatment of glioma has gradually developed into a comprehensive therapy based on surgery, combined with radiotherapy, chemotherapy, immunotherapy, etc., but the prognosis of many patients has not improved significantly. Clinical tests usually detect phosphatase and tensin homolog deleted onchromosome 10 (PTEN), epidermal growth factor receptor (EGFR), theO6-methylguanine-DNA methyltransferase (MGMT), tumor protein 53 (P53), monoclonal antibody of cell proliferation associated nuclear antigen (MIB- 1) Wait for the protein expression statu...

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): G06K9/62G06K9/46
Inventor 夏顺仁潘颖刘晨彬
Owner ZHEJIANG UNIV
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