Deformation Field Calculation for Lesion Deviation Analysis
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Solution Overview
Problem
Current image diagnosis techniques in the medical field lack sufficient information about the features of lesion portions, particularly in terms of deformation behavior, beyond temporal changes and hardness information.
Innovation Solution
An image processing apparatus that calculates deformation information and displays the degree of deviation from a deformation model, allowing for visualization and analysis of deformation changes in lesion portions between different states, using a combination of image capturing and deformation modeling techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional image alignment techniques are used to observe temporal changes, then temporal change information can be obtained, but sufficient information about lesion deformation features is still lacking
Solution Approach 1:
The patent segments the deformation analysis into distinct components: overall deformation field calculation, lesion-specific deformation extraction, and deviation from normal pattern detection. This segmentation allows comprehensive deformation feature capture without requiring a monolithic complex system, as each component can be independently implemented and optimized.
Solution Approach 2:
The patent performs preliminary action by establishing a normal deformation pattern model before analyzing lesion deformation. By pre-defining what normal tissue deformation looks like, the system can then efficiently detect deviations caused by lesions, avoiding the need for complex real-time analysis of all possible deformation scenarios.
2Measurement precision
If deformation modeling is performed to analyze lesion features, then new diagnostic information is provided, but calculation and processing complexity increases
Solution Approach 1:
The patent applies local quality by focusing deformation analysis specifically on lesion regions rather than uniformly analyzing the entire tissue volume. By identifying and isolating lesion areas, the system achieves high measurement precision for critical regions while reducing unnecessary calculations in normal tissue areas, thereby managing computational complexity.
Solution Approach 2:
The patent utilizes parameter changes by comparing actual deformation parameters against normal deformation patterns. By transforming the problem into a parameter comparison framework (measuring deviation from expected values), the system achieves precise lesion characterization through relatively simple differential calculations rather than complex absolute deformation modeling.
Data Source
AI summary
An image processing apparatus includes: a calculation unit configured to calculate deformation information of an object deformed from a first deformation state to a second deformation state; a degree-of-deviation calculation unit configured to calculate a degree of deviation of the deformation information with respect to a deformation model representing a deformation state of the object; and a display control unit configured to display the calculated degree of deviation.