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Ultrasound system with an artificial neural network for guided liver imaging

An ultrasound imaging system, convolutional neural network technology, applied in biological neural network model, ultrasound/sonic/infrasonic Permian technology, neural architecture, etc., can solve problems such as difficulty, misdiagnosis or classification

Pending Publication Date: 2021-03-09
KONINKLJIJKE PHILIPS NV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Ultrasound imaging can be used to measure this ratio, but it may be subject to misdiagnosis or classification due to difficulties in achieving an appropriate frame for measurement purposes
While existing systems may provide tools aimed at improving the acquisition of image data, such as for liver-kidney ratio quantification, existing systems may have shortcomings, and designers and manufacturers of ultrasound imaging systems continue to seek their improvements

Method used

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  • Ultrasound system with an artificial neural network for guided liver imaging
  • Ultrasound system with an artificial neural network for guided liver imaging
  • Ultrasound system with an artificial neural network for guided liver imaging

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Embodiment Construction

[0022] The following descriptions of specific embodiments are merely exemplary in nature and are in no way intended to limit the invention or its application or uses. In the following detailed description of embodiments of the present systems and methods, reference is made to the accompanying drawings, which form a part hereof, and which show by way of illustration specific embodiments in which the described systems and methods may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the presently disclosed systems and methods, and it is to be understood that other embodiments may be utilized and structural and logical changes may be made without departing from the spirit of the present system and range. Also, for the sake of clarity, a detailed description of certain features will not be discussed when it would be apparent to those skilled in the art so as not to obscure the description of the present system. The f...

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Abstract

The present disclosure describes ultrasound imaging systems and methods for ultrasonically inspecting biological tissue, such as liver and for automatically identifying and acquiring a view suitable for hepatic-renal echo -intensity ratio quantification, using one or more neural networks, which may be trained to perform image classification, segmentation, or a combination thereof to compute a confidence metric and to provide a recommendation for measurement ROIs placement on the image.

Description

technical field [0001] The present disclosure pertains to ultrasound imaging systems and methods for sonographic examination of biological tissue and more particularly for guided and at least partially automated liver-kidney ratio quantification using artificial neural networks. Background technique [0002] Ultrasound imaging is commonly used to non-invasively image internal tissues or organs of a patient, for example, for diagnosing the progression or success of any number of different diseases and their treatments. For example, the ratio of echo intensities between liver and kidney is a quantitative biomarker for liver fat content. Ultrasound imaging can be used to measure this ratio, but it may be subject to misdiagnosis or classification due to difficulties in achieving an appropriate frame for measurement purposes. While existing systems may provide tools aimed at improving the acquisition of image data, such as for liver-kidney ratio quantification, existing systems ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B8/08A61B8/00
CPCA61B8/085A61B8/5223A61B8/469G16H50/30G06T7/10G16H50/20G16H30/40A61B8/14A61B8/463G06N3/04G06N3/08G06T2207/10132G06T2207/20081G06T2207/20084G06T2207/30056G06T2207/30084
Inventor 谢华C·M·斯威舍C·埃里克V·T·沙姆达莎尼邓寅晖
Owner KONINKLJIJKE PHILIPS NV
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