Medical Imaging Brightness Control via Region of Interest Detection
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Solution Overview
Problem
Conventional automatic brightness control systems in medical imaging often fail to optimize the brightness or illumination of specific regions of interest within an image, leading to suboptimal visualization of critical features.
Innovation Solution
The system identifies a region of interest within an image using techniques such as edge detection, color detection, or feature detection, and then adjusts the operating parameters of the imaging system, such as light intensity or exposure time, to achieve a target brightness value specific to that region.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional automatic brightness control systems adjust brightness based on overall image analysis, then the general illumination is optimized, but the brightness of specific regions of interest cannot be precisely controlled
Solution Approach 1:
The patent segments the image into multiple regions of interest using edge detection, color detection, and feature detection algorithms. By dividing the image processing task into region identification and brightness adjustment stages, the system achieves precise brightness control for specific regions without requiring complete system redesign.
Solution Approach 2:
The patent applies different brightness control parameters to different regions of interest within the same image. Each detected region receives customized brightness adjustment based on its specific characteristics, enabling localized optimization while maintaining overall image quality.
2Measurement precision
If the system uses multiple detection techniques (edge detection, color detection, feature detection) to identify regions of interest, then the accuracy of region identification is improved, but the processing time and computational load increase
Solution Approach 1:
The patent performs preliminary region identification using multiple detection techniques before brightness adjustment. By completing the detection phase upfront and storing region information for subsequent processing, the system minimizes real-time processing delays during actual brightness control operations.
Solution Approach 2:
The patent combines edge detection, color detection, and feature detection results to identify regions of interest. By merging multiple detection approaches, the system achieves higher identification accuracy while sharing computational resources across different detection algorithms, reducing redundant processing.
Data Source
AI summary
A method for performing automatic brightness control may include receiving an image of a target site from an imaging system of a medical device, and identifying a region of interest in the image. The region of interest may include a physical feature in the target site identified in the image. The method may further include determining a current image brightness value for the identified region of interest, and adjusting one or more operating parameters of the imaging system based on the current image brightness value and a target image brightness value.