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

Acquisition-orientation-dependent features for model-based segmentation of ultrasound images

An ultrasound image and ultrasound imaging technology, applied in the field of medical systems, can solve the problems of inaccuracy and inaccuracy of segmentation

Active Publication Date: 2017-02-22
KONINKLJIJKE PHILIPS NV
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Performing adaptation on an incorrect feature set can lead to inaccuracies in 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
  • Acquisition-orientation-dependent features for model-based segmentation of ultrasound images
  • Acquisition-orientation-dependent features for model-based segmentation of ultrasound images
  • Acquisition-orientation-dependent features for model-based segmentation of ultrasound images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] According to the present principles, model-based segmentation is performed using more accurate model selection to perform adaptation of one or more models. In ultrasound imaging, an imaging probe gathers imaging data that may appear differently based on the orientation of the probe, ie, the appearance of the image changes when the relative position or orientation of the imaged subject changes relative to the probe. In one embodiment, fetal ultrasound images are collected. It is extremely difficult to define which images should be acquired from a fixed orientation about the fetus when the fetus is moving freely in the uterus. For example, a user may not be able to easily identify whether they are imaging the left or right side of the fetus' head. According to the present principles, anatomical features are selected according to the orientation of the fetus with respect to the probe. For example, the right ear can be selected to aid in identifying how to orient the prob...

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

A model-based segmentation system includes a plurality of clusters (48), each cluster being formed to represent an orientation of a target to be segmented. One or more models (140) are associated with each cluster. The one or more models include an aspect associated with the orientation of the cluster, for example, the appearance of the target to be segmented. A comparison unit (124), configured in memory storage media, is configured to compare an ultrasound image to the clusters to determine a closest matching orientation and is configured to select the one or more models based upon the cluster with the closest matching orientation. A model adaptation module (126) is configured to adapt the one or more models to the ultrasound image.

Description

[0001] Cross References to Related Applications [0002] This application claims the benefit of priority from European Patent Application No. EP14168298.9 filed May 14, 2014, which is hereby incorporated by reference in its entirety. Background technique [0003] In model-based segmentation for computed tomography (CT) images, it is assumed that the organs to be segmented generally have the same image appearance. For each triangle of the surface model, boundary detection features describing the local image appearance are learned. For ultrasound images, the appearance of the image changes when the relative position or orientation of the object to the probe changes. For some applications, the orientation in the acquisition protocol can be defined (eg, in transthoracic echocardiography (TTE)), but for other protocols, the orientation cannot be defined. This is especially relevant for fetal ultrasound images. Imposing the acquisition of images from a fixed orientation with resp...

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): G06T7/00
CPCG06T2207/10132G06T2207/30044G06T7/11G06T7/149G06T7/174G06T7/0012
Inventor I·韦希特尔施特勒T·克林德C·洛伦茨
Owner KONINKLJIJKE PHILIPS 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