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

Method of segmenting anatomic entities in 3d digital medical images

一种医学图像、实体的技术，应用在图像分析、图像增强、图像数据处理等方向，能够解决差分割等问题

Inactive Publication Date: 2010-07-28
AGFA NV
View PDF3 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0017] The second limitation lies in the alternate use of shape models and grayscale appearance models
This means that the wrong grayscale appearance model is used in the wrong region, resulting in poor segmentation

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
  • Method of segmenting anatomic entities in 3d digital medical images
  • Method of segmenting anatomic entities in 3d digital medical images
  • Method of segmenting anatomic entities in 3d digital medical images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0100] The invention will be explained in detail below with respect to a specific application, namely lung field segmentation in medical images.

[0101] object representation

[0102] In various embodiments of the method of the invention described below, an anatomical object in an image is represented mathematically as a fixed number of discrete labeled points located on a contour surrounding the object, i.e. p 1 =(x 1 ,y 1 ),...,p n =(x n ,y n ).

[0103] The shape from p 1 proceed to p n back to p 1 . Therefore, the object can be discretized by a shape vector x=(x 1 ,y 1 ,...,xn ,y n ) T capture. The coordinate system is chosen such that all points within the image area lie within the [0,1]x[0,1] domain (Fig. 7).

[0104] Furthermore, characteristic points lying within the area surrounded by the outline can also be added to the object representation, allowing eg measurements of entities located inside the object.

[0105] The segmentation scheme described ...

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

For each of a number of landmarks in an image an initial position of the landmark is defined. Next a neighborhood around the initial position comprising a number of candidate locations of the landmark, is sampled and a cost is associated with each of the candidate locations. A cost function expressing a weighted sum of overall gray level cost and overall shape cost for all candidate locations is optimized. A segmented anatomic entity is defined as a path through a selected combination of candidate locations for which combination the cost function is optimized. During optimization towards the optimal segmented surface / volume graph traversal methods are exploited.

Description

technical field [0001] The present invention relates to a method for segmenting entities in digital images, more specifically to a method for segmenting anatomical entities in digital medical images. The segmentation process according to the invention is based on the use of a geometric model and a photometric model of the image. [0002] The method of the invention is particularly useful as a process for performing geometric measurements on digital images, more particularly on digital medical images. Background technique [0003] In radiology practice, geometric measurements are frequently used to help diagnose abnormalities. In order to perform these measurements, key user points must be placed at their corresponding anatomical landmark locations in the image (eg, displayed on a display device). Measurements such as the distance between two points or the angle between lines are based on the location of these key user points. It is also possible to assess the normality or...

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): G06T5/00
CPCG06T2207/30004G06T7/0081G06T7/0093G06T2207/10072G06T7/0095G06T7/11G06T7/162G06T7/168
Inventor P·德瓦尔
Owner AGFA NV
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