Volume Data Voxel Transformation for Medical Image Rendering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing methods for volume rendering in medical diagnostics face challenges in accurately removing contrast medium regions, leading to impaired image quality and difficulty in observing lesions due to uniform transformation of CT values, resulting in information loss and deformation of the extracted region.
Innovation Solution
The method involves transforming voxel values or opacity values in the extracted region into at least two different values using statistical information, allowing for precise rendering and preventing deformation of the contour portion, thereby enhancing diagnostic accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If uniform transformation of CT values is applied to remove contrast medium regions, then the contrast medium region can be removed from rendering, but information loss and deformation of the extracted region occur
Solution Approach 1:
The patent applies different transformation rules to different regions within the extracted volume data. Specifically, it distinguishes between the contrast medium region (which undergoes transformation to remove it) and the surrounding tissue regions (which maintain their original CT values). This local differentiation prevents information loss in the tissue regions while still achieving contrast medium removal, directly resolving the technical contradiction.
2Manufacturing precision
If uniform transformation of CT values is applied to remove contrast medium regions, then the contrast medium region can be removed from rendering, but deformation of the contour portion occurs
Solution Approach 1:
The patent implements local quality by applying uniform transformation only to the contrast medium region while preserving the original CT values in adjacent tissue regions. This creates a smooth transition at the boundaries and prevents contour deformation, as the tissue regions maintain their original shape and position information while the contrast medium is selectively removed.
3Ease of manufacture
If uniform transformation of CT values is applied, then processing simplicity is maintained, but diagnostic accuracy deteriorates
Solution Approach 1:
The patent achieves local quality transformation by first segmenting the volume data into different regions (contradiction medium region vs. tissue regions), then applying different transformation rules to each region. This approach maintains processing simplicity through automated region-based rules while improving diagnostic accuracy by preserving tissue information and preventing deformation, allowing doctors to clearly observe organ contours and lesions.
Data Source
AI summary
An image processing method using volume data includes: extracting a region of the volume data; transforming voxel values in the extracted region into at least two different voxel values; and presenting information of the extracted region by using the transformed voxel values.