Ultrasonic Diagnostic Apparatus Histogram Tone Correction
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Solution Overview
Problem
Conventional ultrasonic diagnostic apparatuses face challenges in optimizing image contrast and tone adjustment due to increased noise levels, particularly in specific body regions, leading to poor operability and inadequate user-adjustable image settings.
Innovation Solution
An ultrasonic diagnostic apparatus equipped with an image data acquisition unit and a correction unit that calculates histograms and tone correction functions to set and adjust the brightness distribution range, allowing for effective tone optimization of ultrasonic images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional ultrasonic diagnostic apparatuses are used for imaging, then basic image acquisition is achieved, but image contrast and tone adjustment are inadequate due to increased noise levels in specific body regions
Solution Approach 1:
The patent introduces a histogram analysis intermediary that processes the raw ultrasonic image data to identify noise characteristics and tissue regions. This histogram serves as a mediator between the noisy raw data and the final corrected image, enabling separation of signal from noise through statistical analysis of pixel brightness distributions
Solution Approach 2:
The patent applies parameter changes by modifying the tone curve based on histogram-derived parameters. The system calculates optimal tone correction parameters from the histogram data and applies these to transform the brightness distribution, thereby improving image contrast while suppressing noise in specific body regions
2Ease of operation
If manual tone adjustment is provided for ultrasonic images, then basic operability is maintained, but appropriate tone correction cannot be achieved in regions with increased noise
Solution Approach 1:
The patent implements self-service by enabling the system to automatically analyze its own image data through histogram processing and generate optimal tone correction parameters without requiring manual intervention. The apparatus serves itself by identifying noise patterns and applying appropriate corrections autonomously
Solution Approach 2:
The patent employs feedback mechanisms where the histogram analysis results feed back into the tone correction process. The system continuously monitors image characteristics through histogram data and adjusts tone parameters accordingly, creating a closed-loop control system that optimizes image quality
3Productivity
If simple histogram analysis is used for tone correction, then processing speed is maintained, but precise tone optimization cannot be achieved
Solution Approach 1:
The patent applies preliminary action by performing histogram analysis and noise characterization before the actual tone correction process. This preliminary processing establishes the foundation for precise correction by identifying key parameters and thresholds in advance, enabling faster and more accurate tone optimization
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
The apparatus enables precise and user-friendly tone adjustment, improving image clarity and contrast, thereby enhancing diagnostic capabilities by calculating feature points from image data histograms and applying tone correction functions.
Implementation Method 1
an ultrasonic transmission unit configured to transmit an ultrasonic wave into a predetermined region including a diagnosis target of an object, receive a reflected wave from the predetermined region
Data Source
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AI summary
An ultrasonic diagnostic apparatus according to one embodiment transmits an ultrasonic wave into a predetermined region including a diagnosis target of an object, receives a reflected wave from the predetermined region, and acquires ultrasonic image data based on the reflected wave and comprises a correction unit which executes tone correction of the ultrasonic image data, and in the tone correction, the correction unit calculates a histogram associated with brightness of the image data and calculates a brightness distribution range corresponding to the diagnosis target and a tone correction function using the histogram.