Knee Cartilage Mapping via Functional Image Alignment
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Solution Overview
Problem
Existing methods for mapping functional images onto morphological images of knee joints, such as those used in osteoarthritis diagnosis, face challenges in accurately representing cartilage state due to differences in resolution and alignment, leading to inaccurate cartilage evaluation.
Innovation Solution
A mapping image generation device and method that extracts the cartilage area from morphological images, aligns functional images with morphological images, and maps signal values based on an intermediate position within the cartilage thickness direction, allowing for accurate representation of cartilage state by using an intermediate surface or calculating representative values for specific ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a functional image is superimposed on a morphological image using a scheme that extracts cartilage at a predetermined distance from bone, then the mapping process is simplified, but the accuracy of cartilage state indication deteriorates when cartilage thickness deviates from reference values
Solution Approach 1:
The patent segments the cartilage mapping process into three key steps: (1) extracting cartilage area from the morphological image, (2) aligning the functional image with the morphological image, and (3) mapping the functional image to the morphological image based on alignment results. This segmentation allows each step to be optimized independently, improving overall accuracy while maintaining procedural simplicity.
Solution Approach 2:
The patent introduces feedback mechanisms where the alignment result from step 2 is used to refine the mapping process in step 3. The system uses the alignment information to accurately determine corresponding positions between functional and morphological images, ensuring that cartilage state indications are precise even when cartilage thickness varies from reference values.
2Ease of operation
If the functional image is aligned with the morphological image, then the visual diagnosis capability is improved, but the mapping accuracy deteriorates due to resolution differences between the two images
Solution Approach 1:
The patent uses the morphological image as an intermediary reference framework. The functional image is first aligned with the morphological image based on anatomical landmarks and structural correspondence. This alignment creates a common coordinate system that serves as a mediator, allowing accurate mapping despite resolution differences. The morphological image's higher resolution provides a detailed reference that compensates for the functional image's lower resolution.
3Ease of manufacture
If cartilage is extracted at a fixed distance from bone surface, then the extraction process is simplified, but the reliability deteriorates when patient cartilage thickness departs from reference values
Solution Approach 1:
The patent transitions from a static, fixed-distance extraction method to a dynamic extraction approach. The cartilage area is extracted based on the actual boundaries identified in the morphological image and refined through alignment with the functional image. This dynamic method adapts to individual patient variations in cartilage thickness, ensuring reliable cartilage state indication regardless of whether the patient's cartilage matches reference thickness values.
Data Source
AI summary
An area extraction unit extracts a cartilage area from a morphological image. An alignment unit performs alignment between a morphological image and a functional image. A mapping unit generates a mapping image obtained by mapping the functional image to the morphological image. A display control unit displays the mapping image on a display.