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

Semi-automatic measurement method for morphological parameters of intracranial aneurysm

A technology of intracranial aneurysms and measurement methods, which is applied in the field of semi-automatic measurement of morphological parameters of intracranial aneurysms, can solve the problems of affecting the measurement accuracy of parameters, consuming doctors' time, and relying on accuracy, so as to improve measurement efficiency and reduce workload , Accurate and fast measurement effect

Pending Publication Date: 2022-05-31
BEIJING TIANTAN HOSPITAL AFFILIATED TO CAPITAL MEDICAL UNIV +1
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the development of intelligent technology, the status of automatic measurement is increasing day by day. However, in clinical application, automatic measurement has certain limitations. For example, it is affected by the complex shape of intracranial blood vessels, and the accuracy depends on whether the aneurysm and parent tumor can be accurately segmented. blood vessels, which in turn affects parameter measurement accuracy
[0004] In the current automatic measurement method used by most doctors, manual measurement is required with the help of software, which will consume a lot of time for doctors
In addition, there are some automatic measurement schemes, which automatically extract and calculate parameters based on the results of the upstream aneurysm segmentation model; when the results of the upstream aneurysm segmentation model are wrong, the calculated parameters will also be wrong, and doctors cannot manually adjust to fix this error

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
  • Semi-automatic measurement method for morphological parameters of intracranial aneurysm
  • Semi-automatic measurement method for morphological parameters of intracranial aneurysm
  • Semi-automatic measurement method for morphological parameters of intracranial aneurysm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0096] Embodiment 1 provides a semi-automatic measurement method for intracranial aneurysm morphological parameters, according to figure 1 As shown, the first mask combination of a single aneurysm is obtained through the fully automatic preprocessing module; based on the first mask combination of a single aneurysm, the first aneurysm diameter plane is obtained through the automatic extraction module of tumor diameter plane and blood flow direction and the first blood flow direction vector; based on the first tumor diameter plane, the first blood flow direction vector and the aneurysm mask in the first mask combination, according to the calculation rules of each parameter value in the parameter information, through the core calculation module Acquiring the parameter information of the aneurysm; based on the pre-defined conditions of the circumscribed rectangular frame of the aneurysm, according to the aneurysm mask in the first aneurysm diameter plane, the first blood flow direc...

Embodiment 2

[0098] Embodiment 2 provides a semi-automatic measurement method for intracranial aneurysm morphological parameters, according to figure 2 As shown, the method includes:

[0099] A1. Based on the first mask combination of a single aneurysm, the first aneurysm diameter plane and the first blood flow direction vector are obtained, specifically:

[0100] In this embodiment, a cube convolution kernel with a side length of 3 voxels is used to perform an expansion operation on the aneurysm mask in the first mask combination, and the result of the expansion operation is combined with the blood vessel mask in the first mask combination The overlapping voxels are used as intersection points, and all intersection points are obtained;

[0101] In this embodiment, the geometric center of the intersection point is calculated, and the geometric center is used as the estimated center of the tumor body; the estimated center of the tumor body is used as the center, and an area of ​​the same ...

Embodiment 3

[0147] Embodiment 3 provides a semi-automatic method for measuring morphological parameters of an intracranial aneurysm, the method comprising:

[0148] The first mask combination is the connected domain information of a single aneurysm mask extracted in advance from the three-dimensional medical image to be analyzed and the connected domain information of the blood vessel mask to which the single aneurysm mask belongs, specifically:

[0149] In this embodiment, the three-dimensional medical image to be analyzed is segmented by an automatic segmentation algorithm to obtain multiple first aneurysm masks and multiple first blood vessel masks; one first blood vessel mask matches one first aneurysm mask code;

[0150] In this embodiment, for a first aneurysm mask and an associated first blood vessel mask, the first aneurysm mask and the first blood vessel mask are divided into connected domains, and the first aneurysm mask and the first blood vessel mask are obtained. The connect...

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 an intracranial aneurysm morphological parameter semi-automatic measurement method, which comprises the following steps of: A1, acquiring a first aneurysm diameter plane and a first blood flow direction vector based on a first mask combination of a single aneurysm; a2, based on the first aneurysm diameter plane, the first blood flow direction vector and an aneurysm mask in the first mask combination, according to a calculation rule of each parameter value in the parameter information, acquiring parameter information of the aneurysm; a3, based on predefined conditions of an aneurysm external rectangular frame, according to the first aneurysm diameter plane, the first blood flow direction vector and an aneurysm mask in the first mask combination, obtaining the aneurysm external rectangular frame; and A4, based on the first mask combination, the aneurysm external rectangular frame and the parameter information of the aneurysm, outputting a visual result for a doctor to check. According to the method, the tool is manually adjusted to assist the segmentation of the aneurysm and the tumor-carrying blood vessel, so that the accuracy of parameter calculation is ensured.

Description

technical field [0001] The application belongs to the technical field of image processing, and in particular relates to a semi-automatic measurement method for morphological parameters of intracranial aneurysms. Background technique [0002] Morphological changes of intracranial aneurysms can reflect the process of occurrence, growth, and rupture. Aneurysm parameters are closely related to making treatment plans and predicting the risk of rupture. Therefore, morphological measurement of intracranial aneurysms is the basis of clinical diagnosis and treatment. Accurate measurement of aneurysm morphological parameters is beneficial to assess the risk of intracranial aneurysm rupture, can assist clinicians to adjust further treatment strategies, and has great clinical significance and social significance in reducing disability caused by aneurysm rupture and bleeding, and reducing unnecessary treatment. benefit. [0003] At present, the measurement of intracranial aneurysms is m...

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): G06T7/00G06T7/11G06T7/60G06T7/66G06K9/62G06V10/764
CPCG06T7/0012G06T7/66G06T7/60G06T7/11G06T2207/20104G06T2207/30016G06T2207/30096G06F18/2411
Inventor 冯俊强李佑祥江裕华尤为刘新科隋雨桐龚国扬张艺帆吴振洲吕健魏大超陈婷
Owner BEIJING TIANTAN HOSPITAL AFFILIATED TO CAPITAL MEDICAL 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