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

Image segmentation system, method, device and computer-readable storage medium

一种初分割、图像处理的技术，应用在图像处理领域，能够解决肋骨分割结果错误、肋骨边界不清、肋骨缺失等问题，达到不易受到干扰、提高鲁棒性、加速速度的效果

Active Publication Date: 2021-01-29
SHANGHAI UNITED IMAGING HEALTHCARE
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the existing automatic segmentation technology can achieve relatively rapid segmentation in most cases, there may be difficulties in some cases, such as unclear borders of ribs due to pathological conditions, ribs adhered to other bones, missing ribs or part of ribs Missing, these may make the rib segmentation results wrong

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 segmentation system, method, device and computer-readable storage medium
  • Image segmentation system, method, device and computer-readable storage medium
  • Image segmentation system, method, device and computer-readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] In the following detailed description, numerous specific details of the present disclosure are set forth by way of example in order to provide a thorough understanding of the relevant disclosure. It will be apparent, however, to one skilled in the art that the present disclosure may be practiced without these details. In other instances, well-known methods, procedures, systems, components and / or circuits in this disclosure have been described elsewhere at a relatively high level and have not been described in detail in this disclosure to avoid unnecessarily repeat. Various modifications to the disclosed embodiments of this disclosure should be apparent to those skilled in the art, and the basic principles defined in this disclosure can also be applied without departing from the spirit and scope of this disclosure. Applicable to other embodiments and applications. Accordingly, the present disclosure is not to be limited to the embodiments shown, but is to be accorded t...

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 present application provides an image processing method, system, device and computer-readable storage medium. The method includes: acquiring image data, the image data including at least one rib; determining a rib region, the rib region including at least a part of ribs; optionally one of the ribs is a target rib; using a machine learning method The trained classifier processes the target rib to obtain a rib probability map; determines the starting point of the target rib; performs model tracking on the target rib based on the rib probability map and the starting point; and based on the model As a result of the tracking, the target rib is segmented to obtain the segmented rib. This application performs model tracking based on a machine learning method, which improves the robustness of the model tracking algorithm and ensures that the ribs can be successfully segmented in the image.

Description

technical field [0001] The present disclosure relates to the field of image processing, in particular, to a rib segmentation system and method. Background technique [0002] Medical images are widely used today. In medical images, rib segmentation can provide a basis for analyzing rib anatomy and diagnosing various diseases. Manual segmentation is time consuming. Although the existing automatic segmentation technology can achieve relatively rapid segmentation in most cases, there may be difficulties in some cases, such as unclear borders of ribs due to pathological conditions, ribs adhered to other bones, missing ribs or part of ribs missing, these may cause errors in the rib segmentation results. Therefore, it is desirable to have a rib segmentation method and system with a high success rate to solve the above problems. Contents of the invention [0003] The first aspect of the present application relates to an image processing method. The image processing method may...

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): G06T7/11G06T7/13G06T7/136G06T7/143A61B6/03
CPCG06T7/136G06T7/143G06T7/11G06T7/13A61B6/03A61B6/52G06T7/10G06T2207/30008G06T2207/20081G06T2207/10104G06T2207/10088G06T2207/10072G06T2207/10081G06V40/10G06T2207/20156G06T7/187G06T2207/20076G06T2207/30061G06T7/74G06T2207/30012G06T7/0014G06T2207/10028G06F18/24G06F18/2155G06V10/751G06V10/22
Inventor 王策
Owner SHANGHAI UNITED IMAGING HEALTHCARE