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

Medical lung MRI image segmentation method based on adaptive contour model, and MRI equipment

A contour model and image segmentation technology, applied in the field of MRI equipment and lung tumor segmentation, which can solve the problems of complex background and high misjudgment rate

Inactive Publication Date: 2020-10-02
山东凯鑫宏业生物科技有限公司
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in real scenes, MRI images often have very complex backgrounds, resulting in a relatively high misjudgment rate for these existing MRI image segmentation methods

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
  • Medical lung MRI image segmentation method based on adaptive contour model, and MRI equipment
  • Medical lung MRI image segmentation method based on adaptive contour model, and MRI equipment
  • Medical lung MRI image segmentation method based on adaptive contour model, and MRI equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] The present invention will be further explained below in conjunction with the drawings.

[0061] In the embodiment of the present invention, a magnetic resonance imaging device based on multiple receiving coils includes: a main magnet system, a gradient magnetic field system, a radio frequency system, and a computing and image processing system.

[0062] 1. Main magnet system

[0063] The main technical requirements of MRI equipment for the main magnet are as follows: (1) A large magnetic field working space, a particularly uniform part (sample area) in the working area of ​​the magnet should be able to contain the inspected part of the human body. (2) The highly uniform sample area can quickly establish and eliminate the gradient field. (3) Magnetic field stability. The properties of permanent magnetic materials vary greatly with temperature, so the field it excites also changes accordingly, which is manifested as fluctuations in magnetic induction intensity, which will also...

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 medical lung MRI image segmentation method based on an adaptive contour model, and MRI equipment. The equipment comprises a main magnet system, a gradient magnetic field system, a radio frequency system and an operation and image processing system; the radio frequency system comprises a plurality of radio frequency coils which are respectively arranged in coil fixing devices, and different radio frequency receiving coils correspond to different detection parts on a patient. The method comprises the following steps: 1) preprocessing an input fused MRI image; 2) setting an initial contour line as c0 and setting the initial contour line as a circle according to the characteristics of the lung tumor image, and calculating an initial level set function phi 0 accordingto the c0; 3) updating a level set function phi n, and calculating c1 and c2 according to the current phi n; 4) checking whether iteration is convergent or not: if so, determining that c is the optimal contour line, and otherwise, continuing iteration; 5), after the target area is obtained, removing noise and some tiny protruding parts by using image morphological opening operation, smoothing theboundary, connecting the fracture part by using closed operation, and filling a cavity to obtain a target image. The method is high in segmentation precision and clear in edge, and is suitable for segmenting lung MRI images with fuzzy targets, weak edges, smooth boundaries, discontinuous boundaries and complex topological structures.

Description

Technical field [0001] The invention relates to the technical field of MRI image acquisition and medical image processing, in particular to a method for segmenting lung tumors in MRI lung images and MRI equipment. Background technique [0002] At present, in the clinical diagnosis of respiratory diseases, lung cancer can be accurately diagnosed by CT in general, but some cases need to be diagnosed by MRI. This is because MRI can use multi-planar imaging to display the lesions, and The tumor’s invasion of the soft tissues of the chest wall is also easier and clearer to show whether the lymph nodes and blood vessels are invaded; its enhanced scan plays an important role in distinguishing benign and malignant nodules in the lung, and is for staging lung superior sulcus tumors A preferred method for judgment; its enhanced T1WI can distinguish the hilar mass of central lung cancer and the surrounding atelectasis: because the blood supply of atelectasis is relatively abundant compared ...

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): G06T7/187G06T7/136G06T7/62G06T5/50G06T5/00G06T5/30G06T7/00
CPCG06T7/187G06T7/136G06T7/62G06T5/50G06T5/30G06T7/0012G06T2207/10088G06T2207/30061G06T2207/20221G06T5/70
Inventor 冯叶
Owner 山东凯鑫宏业生物科技有限公司
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