Mammary Gland Density Calculation Using Narrow Region Extraction

The patent segments the breast area into multiple regions of interest (ROIs) based on anatomical landmarks and tissue characteristics. Instead of treating the entire breast as a single homogeneous area, the system divides it into distinct zones where mammary gland tissue is more likely to be present, allowing for more precise local density assessment while maintaining computational feasibility.

The patent applies different density calculation methods to different regions of the breast. High-density areas are identified and assessed using localized metrics that consider the specific anatomical context, rather than applying a uniform calculation across the entire breast area. This allows for accurate density assessment in narrow high-density regions while maintaining overall system simplicity.

The patent segments the breast area into multiple regions of interest (ROIs) based on anatomical landmarks and tissue characteristics. Instead of treating the entire breast as a single homogeneous area, the system divides it into distinct zones where mammary gland tissue is more likely to be present, allowing for more precise local density assessment while maintaining computational feasibility.

The patent introduces a spatial dimension to the density assessment by defining multiple regions of interest at different locations within the breast. This allows the system to capture both the overall coverage (area) and the local density variations, effectively adding a dimensional layer to the assessment that resolves the contradiction between comprehensive coverage and local precision.

The patent establishes clear diagnostic criteria by defining specific parameter thresholds and calculation methods for assessing mammary gland density. Instead of relying on subjective interpretation, the system uses objective parameters such as the ratio of high-density pixel areas to total ROI area, with predetermined thresholds that trigger specific diagnostic recommendations. This standardization improves consistency while keeping the implementation relatively simple.

The patent implements automated density assessment and diagnostic recommendation generation that reduces the need for complex manual analysis. The system automatically identifies regions of interest, calculates density metrics, compares them against predefined criteria, and generates diagnostic recommendations without requiring extensive manual intervention or complex decision-making algorithms, thereby achieving reliability without excessive complexity.