Ultrasound Imaging Parameter Control for Accurate AI Target Detection
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Solution Overview
Problem
Existing ultrasound diagnostic systems face challenges in accurately detecting specific targets due to variations in image quality and user proficiency, with detection accuracy often being compromised by imaging conditions and target types.
Innovation Solution
An ultrasound diagnostic apparatus equipped with an ultrasound probe, image acquisition unit, specific target detection unit using a machine learning model, and parameter setting unit that adjusts parameter ranges based on the operation state of the detection unit, allowing for improved target detection accuracy by setting different parameter ranges during operation and non-operation states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic target detection is implemented using machine learning, then detection efficiency is improved, but detection accuracy decreases depending on imaging conditions and target types
Solution Approach 1:
The system dynamically adjusts the adjustment range of imaging parameters based on the operation state of the specific target detection unit. When the detection unit is operating, the parameter adjustment range is restricted to values that maintain high detection accuracy, while when not operating, the full adjustment range is available for general imaging optimization.
Solution Approach 2:
The patent changes the parameter settings of the ultrasound imaging system based on the operational state of the detection unit. By setting different adjustment ranges for parameters like gain, depth, and frequency depending on whether the detection unit is active, the system optimizes both detection accuracy and general imaging quality.
2Measurement precision
If parameter adjustment range is restricted during detection operation, then detection accuracy is improved, but user flexibility decreases
Solution Approach 1:
The system provides dynamic parameter adjustment capabilities that adapt to the current operational mode. During specific target detection, the adjustment range is automatically restricted to maintain accuracy, but users can still adjust within this optimized range. When detection is not active, the full adjustment range becomes available, restoring complete user flexibility.
Solution Approach 2:
The system provides feedback to the user about the current operational state and available parameter ranges. The display controller shows the adjustment range that has been set by the parameter setting unit, making it clear to users what adjustments are available in each mode, thereby managing expectations while maintaining ease of operation.
3Measurement precision
If different parameter settings are used for detection and general imaging, then detection accuracy is improved, but system complexity increases
Solution Approach 1:
The ultrasound diagnostic apparatus integrates multiple functions into a single system, including both general imaging capabilities and specific target detection functions. The parameter setting unit serves as a universal component that manages parameter adjustments for both modes of operation, reducing the need for separate specialized systems.
Solution Approach 2:
The system temporarily discards full parameter adjustability during detection operations to maintain accuracy, then recovers the full adjustment range when detection is complete. This temporary modification of system behavior allows the same hardware to serve multiple purposes without permanent structural complexity.
Data Source
AI summary
Provided are a control method of an ultrasound diagnostic apparatus and an ultrasound diagnostic apparatus capable of improving detection accuracy of a target inside a subject.An ultrasound diagnostic apparatus includes: an ultrasound probe; an image acquisition unit that acquires an ultrasound image of a subject using the ultrasound probe and in accordance with a plurality of parameters related to image acquisition; a specific target detection unit that detects a specific target from the ultrasound image using a machine learning model; and a parameter setting unit that sets, for a parameter which is settable by a user among the plurality of parameters, different adjustment ranges of the parameter during an operation and during a non-operation of the specific target detection unit and that supplies the parameter, which is adjusted by the user, to the image acquisition unit.