3D Medical Image Projection via Intensity Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for generating two-dimensional projection images from three-dimensional medical image data sets are limited, as they primarily highlight strong-signal or low-signal regions, failing to adequately visualize medium-signal intensity areas, and often result in inconsistent information when combining multiple projection images.
Innovation Solution
A method that selects a value from voxels along a viewing direction using a selection criterion that differs from the maximum and minimum intensity values, allowing for the generation of two-dimensional projection images that can highlight specific characteristics of the examination object, such as tumors, by considering scan values within defined intervals or ranges, ensuring consistent spatial visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Maximum Intensity Projection (MIP) is used to display strong-signal regions, then strong-signal regions such as blood vessels can be highlighted, but regions having medium signal intensity cannot be adequately visualized
Solution Approach 1:
The invention segments the projection image generation process by creating multiple projection images, each highlighting different signal intensity ranges. Instead of using a single MIP method that only captures maximum intensity values, the patent divides the visualization into multiple segments (e.g., first projection image for strong signals, second projection image for medium signals), allowing each segment to be optimized for its specific signal range without losing information from other ranges.
2Measurement precision
If Minimum Intensity Projection (minIP) is used to display low-signal regions, then low-signal examination objects such as lungs can be highlighted, but regions having medium signal intensity cannot be adequately visualized
Solution Approach 1:
The patent applies segmentation by creating specialized projection images for different signal ranges. The second projection image is specifically designed to highlight low-signal regions (such as lungs) while the first projection image captures medium-signal regions, ensuring that no information is lost. Each segmented projection image focuses on a specific signal intensity range, allowing optimal visualization for that particular range.
3Loss of information
If multiple projection images are generated and combined using known image processing methods, then comprehensive visualization can be achieved, but the process is very time-consuming and may display inconsistent information
Solution Approach 1:
The invention implements preliminary action by pre-defining selection criteria for voxel selection before generating projection images. The computer is configured with predetermined rules that automatically select appropriate voxels based on their signal intensity characteristics and spatial relationships. This preliminary setup eliminates the need for time-consuming post-processing combination steps, as the consistent spatial information is built into the projection image generation process itself.
4Adaptability or versatility
If image points are determined using different voxels or depth ranges for different projection images, then individual image generation is flexible, but inconsistent information is displayed during subsequent combining
Solution Approach 1:
The patent applies homogeneity by ensuring that all projection images are generated using the same selection criteria and voxel selection rules. The computer systematically applies identical spatial and intensity-based criteria across all projection images, guaranteeing that image points correspond to the same physical locations in the examination object. This homogeneous approach maintains spatial consistency while still allowing flexibility in highlighting different signal intensity ranges through controlled parameter variations.
Data Source
AI summary
In a method and apparatus for generating a two-dimensional projection image from a three-dimensional image data set of an examination object, a three-dimensional image data set of the examination object having a number of voxels is provided to a computer wherein one scan value is associated with one voxel of the examination object. The computer determines at least one value from voxels respectively located along a viewing direction of the three-dimensional image data set, and their scan values, using at least one selection criterion. The at least one determined value is a value that differs from an upper limit value and a lower limit value of the scan values of the voxels located along the viewing direction. The at least one value is used for generating an image point in the two-dimensional projection image.