Radiography Image Processing for Noise-Resistant Calcification Detection
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Solution Overview
Problem
Existing image processing techniques for detecting calcification lesions in breast radiography images are hindered by noise, particularly from differences in mammary gland distribution and breast thickness, making it difficult to identify small calcifications.
Innovation Solution
An image processing apparatus that normalizes the rate of change in brightness gradient using a variation degree, such as standard deviation, and applies threshold value processing to detect calcification lesions by reducing the influence of noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image analysis is performed using density gradient of radiation image to detect calcification lesions, then detection capability is improved, but noise influence from mammary gland distribution and breast thickness differences increases
Solution Approach 1:
The patent introduces an intermediary processing step between raw image acquisition and final detection. A synthesized image is created by combining multiple tomographic images from different angles, serving as a mediator that reduces noise while preserving calcification lesion information. This intermediary representation allows subsequent detection to be more accurate without being affected by the harmful variations in mammary gland distribution and breast thickness.
Solution Approach 2:
The patent transitions from two-dimensional radiation images to three-dimensional tomographic image data. By acquiring images from multiple angles and reconstructing them into 3D space, the system adds a dimensional aspect that enables noise reduction through volumetric analysis. This dimensional transformation allows the detection algorithm to distinguish true calcification lesions from noise based on their spatial distribution characteristics across multiple slices.
2Measurement precision
If multiple tomographic images are synthesized to create two-dimensional images, then small calcification detection is improved, but processing complexity increases
Solution Approach 1:
The patent performs preliminary actions by pre-processing the tomographic images into a synthesized representation before the actual detection process. The synthesized image, created by combining multiple angular views, serves as a pre-processed input that already has reduced noise and enhanced calcification visibility. This preliminary synthesis step simplifies the subsequent detection algorithm, as it operates on optimized data rather than raw multi-angle images.
Solution Approach 2:
The patent extracts essential information from multiple tomographic images by synthesizing them into a single two-dimensional representation that contains the most relevant features for calcification detection. This extraction process removes redundant information and noise while preserving the critical characteristics of calcification lesions, thereby reducing the complexity of the final detection step.
Data Source
AI summary
An image processing apparatus includes an image acquisition unit that acquires a radiation image obtained by imaging a breast with radiation, a normalization unit that normalizes a rate of change in a brightness gradient in the acquired radiation image using a variation degree that indicates a degree of variation in a local region for each local region, and a calcification detection unit that detects a position of a calcification lesion in the radiation image by performing threshold value processing using a predetermined threshold value on the normalized rate of change in the brightness gradient.