Image processing method, device and equipment and readable storage medium

An image processing and initial image technology, applied in the field of medical image processing, can solve the problems of high scanning times, low efficiency, lack of efficient and fast automatic bone removal methods, etc., and achieve the effect of reducing noise data

Active Publication Date: 2021-07-23
浙江明峰智能医疗科技有限公司
View PDF14 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the above-mentioned technical defects, the object of the present invention is to provide an image processing method, device, equipment and readable storage m

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
  • Image processing method, device and equipment and readable storage medium
  • Image processing method, device and equipment and readable storage medium
  • Image processing method, device and equipment and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0066] Embodiment 1: This embodiment discloses an image processing method, which is applied to a computerized tomography blood vessel analysis system for realizing bone removal in cardiovascular angiography images. Refer to figure 1 , specifically including the following steps:

[0067] S100: Acquire an initial image, and generate new data by processing the initial image according to the grayscale histogram;

[0068] In this embodiment, the grayscale histogram reflects the relationship between the frequency of occurrence of each grayscale pixel in an image and the grayscale level, with the grayscale as the abscissa and the frequency as the ordinate, and the drawing frequency is the same as the grayscale The relationship image is the grayscale histogram of the image. According to the grayscale histogram, the grayscale distribution of the image can be reflected, and the threshold of image binarization can also be determined at the same time, so as to determine the binary image o...

Embodiment 2

[0110] Embodiment 2: This embodiment provides an image processing device 8, refer to Figure 7 , including the following:

[0111] A preprocessing module 81, configured to acquire an initial image, and generate new data by preprocessing the initial image according to the grayscale histogram;

[0112] The first segmentation module 82 is configured to segment the newly created data by using a first preset threshold to obtain a first segmentation result;

[0113] A backbone shell data generating module 83, configured to obtain backbone shell data by fitting according to the first segmentation result;

[0114] The chest data generation module 84 is configured to locate the chest layer by using a preset first segmentation rule based on the backbone shell data, and obtain chest data; specifically, the first segmentation rule includes lung segmentation and a preset function.

[0115] The second segmentation module 85 is configured to segment the initial image using a second preset ...

Embodiment 3

[0120] Embodiment 3: In order to achieve the above purpose, the present invention also provides a computer device 9, see Figure 8 , the computer equipment may include a plurality of computer equipment, and the components of the GPU-based image processing device 8 of Embodiment 2 may be dispersed in different computer equipment 9, and the computer equipment 9 may be a smart phone, a tablet computer, a notebook for executing a program Computers, desktop computers, rack servers, blade servers, tower servers or rack servers (including independent servers, or server clusters composed of multiple servers), etc. The computer equipment in this embodiment at least includes but is not limited to: a memory 91, a processor 92, and an image processing device 8 for caching GPUs that can be connected to each other through a system bus, such as Figure 8 shown. It should be pointed out that, Figure 8 Only a computer device is shown with the components - but it should be understood that im...

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 provides an image processing method, device and equipment and a readable storage medium, and relates to the field of medical image processing, and the method comprises the steps: obtaining an initial image, and carrying out the preprocessing of the initial image, and generating new data; segmenting the initial image by adopting a first preset threshold value and a second preset threshold value to obtain a first segmentation result and a second segmentation result; performing fitting according to the first segmentation result to obtain backbone shell data; positioning a chest layer based on the backbone shell data to obtain chest data; calculating to obtain rib and sternum data according to the second segmentation result and the chest data, and generating rib and sternum mask data; positioning a spine bone area based on the backbone shell data, extracting spine bone data in the spine bone area based on the first segmentation result and the second segmentation result, and generating spine bone mask data; and removing rib and sternum mask data and spinal bone mask data from the initial image to obtain a target image, thereby solving the problem that an efficient and rapid automatic deboning method is lacked in the angiocardiographic image.

Description

technical field [0001] The present invention relates to the field of medical image processing, in particular to an image processing method, device, equipment and readable storage medium. Background technique [0002] CTA (computed tomography angiography analysis) system, which is a technical system that helps doctors diagnose and evaluate cardiovascular diseases and states from CT images after injecting contrast agents (enhancers) into blood vessels in the body, such as arteries Tumors, blocked arteries, etc. [0003] Computed tomography angiographic contrast agent technology shows the image details of blood vessels and different tissues from CT scan images. During this test, contrast material (enhancer) is put into a vein from the arm through a catheter. Coronary arterial contrast agent technology (CCTA) is also this technology. The number of blood vessels in the CT image is observed from the 3D viewer to detect the blood supply system to the heart and whether there is va...

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): G06T7/11G06T7/12G06T7/136G06T7/155G06T7/187G06T5/00G06T5/40
CPCG06T7/11G06T7/12G06T7/136G06T7/155G06T7/187G06T5/40G06T5/002G06T2207/30008G06T2207/30061G06T2207/30048G06T2207/30101
Inventor 李迎燕叶宏伟
Owner 浙江明峰智能医疗科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap