A Segmentation and Scheduling Method for Medical Imaging

A technology of medical imaging and scheduling method, which is applied in the field of medical image processing, and can solve problems such as difficult to expand, and does not consider the impact of image processing speed.

Active Publication Date: 2018-09-07
四川众亿得科技有限责任公司
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These processing technologies are mostly related to the specific hardware environment, and it is difficult to expand. In addition, they do not consider the impact of the complexity of image processing in heterogeneous environments on the processing speed of different processors.

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 Segmentation and Scheduling Method for Medical Imaging
  • A Segmentation and Scheduling Method for Medical Imaging
  • A Segmentation and Scheduling Method for Medical Imaging

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0091] The present invention conducts in-depth research on the key technologies of medical imaging image processing quality and image processing speed, and involves parallel image processing system architecture, image processing task scheduling algorithm, and service migration. The overall application scheme of the present invention is as figure 1 As shown, it is divided into three major parts. The first part is the establishment of the overall architecture of medical imaging image processing, and the second part is the segmentation of medical imaging images. The first part will directly provide technical support and platform sharing for the second part. The third part is the scheduling algorithm, including the initial scheduling strategy and the mid-term migration strategy. The invention proposes and implements the LBMM maximum-minimum load balancing scheduling algorithm and the service migration strategy based on the genetic algorithm.

[0092] (1) Map / Reduce-based medica...

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 image processing method and provides a medical image segmenting and dispatching method. The method is characterized by comprising the following steps: performing slice segmentation on a source image of a to-be-processed medical image, and forming at least one image group by virtue of the slices; distributing the image groups to slave servers for performing data processing by virtue of the system, wherein the image groups correspond to the slave servers one by one; detecting whether the slave servers normally operate by the system, if so, performing normal data processing, otherwise performing migration service processing; and finally, detecting the processing progress of the slave servers in real time by the system, and when all the slave servers finish the data processing, performing data integration after processing, and outputting the image. According to the mode, the image processing speed of the medical image is improved. The invention is applicable to the medical image segmenting and dispatching method.

Description

technical field [0001] The invention relates to a medical image processing method, in particular to a medical image segmentation and scheduling method. Background technique [0002] In recent years, medical imaging has produced a large amount of image information, which has put forward stronger and faster requirements for the computing power of the image processing system of medical imaging. However, the existing solutions are exhausted in the face of large-scale services and scalability, which is reflected in the increasing construction and operation costs, and the processing efficiency and customer satisfaction are getting lower and lower. Cloud computing, which integrates multiple technologies such as virtualization technology, distributed computing, and grid computing, can reduce the cost of use to the greatest extent for users and balance resource loads for suppliers while improving system processing capabilities. Therefore, whether it is from a technical point of view...

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 Patents(China)
IPC IPC(8): G06T7/136G06F9/50
Inventor 郑莉华
Owner 四川众亿得科技有限责任公司
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