Unlock instant, AI-driven research and patent intelligence for your innovation.

A quantitative analysis method of hepatocellular carcinoma based on dynamic MRI information fusion

A quantitative analysis, liver cancer technology, applied in the field of medical image processing, can solve the problems of extensive evaluation process, heavy workload of doctors, low evaluation efficiency, etc., and achieve the effect of optimizing detection methods

Inactive Publication Date: 2019-03-12
GUILIN UNIV OF ELECTRONIC TECH +1
View PDF6 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This kind of evaluation process is relatively extensive, the doctor's workload is heavy, and the evaluation efficiency is low

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 quantitative analysis method of hepatocellular carcinoma based on dynamic MRI information fusion
  • A quantitative analysis method of hepatocellular carcinoma based on dynamic MRI information fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0021] A method for quantitative analysis of liver cancer based on dynamic MRI information fusion, specifically comprising the following steps, such as figure 1 Shown:

[0022] Step 1: Acquire 7-phase DCMRI images of the liver, including unenhanced images before drug injection and images of hepatic artery phase, portal vein phase, and liver parenchyma phase after drug injection.

[0023] Step 2: Use methods such as cross-correlation and mutual information between images to perform inter-layer alignment processing on the collected 7-stage DCMRI images.

[0024] Step 3: For the DCMRI image of the liver after inter-layer alignment processing, the method of combining the probability map and the shape model is adopted, and the characteristics of the appropriate liver image are introduced at the same time, and the objective function is constructed to accurately and quickly segment the DCMRI image of the liver, from The liver image region is obtained by segmenting the DCMRI image. ...

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 discloses a quantitative analysis method of liver cancer based on dynamic MRI information fusion, Combined with machine learning, Using XGboost model algorithm, By self-learning and self-optimizing, the optimal model of active hepatocellular carcinoma (HCC) cell identification is constructed, and the detection method of active hepatocellular carcinoma (HCC) region is optimized. The more accurate clinical information is provided for doctors to evaluate the therapeutic effect of TACE on HCC, and the technical support and reliable basis are provided for the formulation of accurate treatment plan of HCC.

Description

technical field [0001] The invention belongs to the field of medical image processing, and in particular relates to a quantitative analysis method for liver cancer based on dynamic MRI information fusion. Background technique [0002] With the continuous development and combination of medical imaging and computer science, the use of computer technology to analyze clinical medical data is a highly accurate and efficient auxiliary diagnosis method, which greatly improves the disease prevention rate and treatment success rate. Primary liver cancer is a common and frequently-occurring disease in my country, accounting for a large proportion of liver cancer in the world, and the early diagnosis of liver cancer is difficult. In most cases, the characteristics of curable treatment have disappeared after patients are diagnosed. Modern clinical medicine uses transcatheter arterial chemoembolization (TACE) to treat patients with recurrent liver cancer. There are many methods based on ...

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): G06T7/00G06T7/11G06T7/33G16H30/20G16H50/20G16H50/30
CPCG06T7/0012G06T2207/10088G06T2207/20081G06T2207/30056G06T7/11G06T7/33G16H30/20G16H50/20G16H50/30
Inventor 陈洪波任帅林润徐绍凯黄勇慧
Owner GUILIN UNIV OF ELECTRONIC TECH