Ultrasonic Color Doppler Parameter Auto-Setting

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Solution Overview

Problem

Users of ultrasonic diagnostic apparatuses face difficulties in setting appropriate parameters for producing accurate color Doppler images due to the cumbersome process of adjusting parameters or selecting pre-defined sets, leading to suboptimal imaging of blood flow in specific body parts.

Innovation Solution

An ultrasonic image display system that uses a processor to perform B-mode scans, identify body parts of interest, and determine parameters for color Doppler image acquisition based on B-mode image data, allowing for automatic setting of optimal parameters for color Doppler imaging without additional operator input.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If the operator manually adjusts parameters or selects pre-defined parameter sets for color Doppler imaging, then the accuracy of blood flow observation can be improved, but the operation becomes cumbersome and time-consuming

Engineering Contradiction:
Improveaccuracy of blood flow observationVSAvoidease of parameter setting
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The system automatically identifies the body part of interest from B-mode image data and determines optimal color Doppler parameters without requiring manual operator input. The processor autonomously performs parameter determination based on image analysis, making the system self-configuring for the specific anatomical region being examined.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system performs preliminary identification of the body part of interest using B-mode image data before acquiring color Doppler images. This preliminary analysis enables the system to pre-determine appropriate parameters for subsequent color Doppler imaging, streamlining the workflow and eliminating the need for manual parameter selection.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If the operator manually adjusts parameters for color Doppler imaging, then the quality of blood flow visualization can be improved, but the time required for image acquisition increases

Engineering Contradiction:
Improvequality of blood flow visualizationVSAvoidtime for image acquisition
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The processor automatically determines color Doppler parameters by analyzing B-mode image data and identifying the body part of interest. This self-service approach eliminates the time operators would spend on manual parameter adjustment while maintaining optimal image quality through algorithmic parameter selection based on anatomical characteristics.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system performs preliminary body part identification and parameter determination using readily available B-mode image data before color Doppler acquisition. This preliminary action ensures that optimal parameters are ready in advance, eliminating delays during the actual color Doppler imaging process.

Inventive Principle:
Principle #10Preliminary action

3Ease of operation

If pre-defined parameter sets are used for different organs, then the ease of operation is improved, but the adaptability to specific body parts of interest is reduced

Engineering Contradiction:
Improveease of parameter selectionVSAvoidadaptability to specific body parts
Core Design Contradiction:
Ease of operationVSAdaptability or versatility

Solution Approach 1:

The system determines parameters specifically tailored to the identified body part of interest rather than applying generic organ-level parameter sets. By analyzing the local characteristics of the specific anatomical region of interest, the system provides locally optimized parameters that adapt to the unique requirements of each body part being examined.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The parameter determination is dynamically adapted based on the identified body part of interest. Rather than using static pre-defined sets, the system adjusts parameters according to the specific anatomical characteristics detected in the B-mode image data, enabling flexible adaptation to various body parts and pathological conditions.

Inventive Principle:
Principle #15Dynamics

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables accurate and efficient production of color Doppler images by automatically determining parameters based on the identified body part of interest, simplifying the imaging process and improving the quality of blood flow visualization.

Implementation Method 1

a color Doppler image for observing blood flow or the like in a patient is produced and displayed based on ultrasonic echo signals

Methodology Applied
Scientific EffectUltrasonic echo: Echo

Implementation Method 2

parameters regarding acquisition of data for a color Doppler image according to the body part of interest

Methodology Applied
Scientific EffectDoppler effect: Doppler Effect

Data Source

PatentUS12178657B2Ultrasonic image display system and program for color doppler imaging
Publication Date: 2024.12.31 GE PRECISION HEALTHCARE LLC
  • US12178657B2 patent drawing
  • US12178657B2 patent drawing
  • US12178657B2 patent drawing

AI summary

To set parameters according to a body part of interest serving as a target for producing a color Doppler image, a processor in an ultrasonic image display system identifies a body part of interest serving as a target for producing a color Doppler image of a patient based on data for a B-mode image, and determines parameters regarding acquisition of data for the color Doppler image according to the body part of interest. The processor then controls an ultrasonic probe to perform a color Doppler scan for a color Doppler image on the patient using the determined parameters, and creates data for a color Doppler image based on echo data obtained by the color Doppler scan.