Medical Image Processing With Camera-Model Projection for Thin Fractures
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Solution Overview
Problem
Existing medical image processing methods using Maximum Intensity Projection (MIP), Minimum Intensity Projection (MinIP), and Average Intensity Projection (AveIP) algorithms struggle to effectively visualize thin and small anatomical features, such as fractures in bones, making it difficult to determine their size and extent accurately.
Innovation Solution
A medical image processing apparatus and method that employs a camera model to project medical image data using different projection modes for samples within and outside an anatomical region of interest, utilizing a first projection mode for samples within the region and a second mode for samples outside it, with the ability to switch between MIP, MinIP, and AveIP algorithms based on anatomical characteristics like sphericity, vesselness, or other measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional projection algorithms (MIP, MinIP, AveIP) are used to project medical volume data, then the processing is simple and fast, but thin and small anatomical features (such as fractures) cannot be visualized clearly
Solution Approach 1:
The patent segments the volume data processing by identifying and separating anatomical structures of interest (thin features) from the rest of the volume data. This is achieved through curvature analysis that detects regions with high curvature values, which correspond to thin anatomical structures. By segmenting these features and processing them with specialized projection techniques while maintaining conventional processing for other regions, the patent achieves improved visualization of thin features without applying complex processing to the entire volume, thus resolving the contradiction between visualization accuracy and processing complexity.
Solution Approach 2:
The patent applies different projection qualities and processing methods to different regions of the volume data based on local characteristics. Specifically, regions identified as containing thin anatomical structures (through curvature analysis) receive enhanced processing with specialized projection algorithms, while other regions use standard projection methods. This local differentiation allows the system to optimize visualization accuracy for critical thin features without unnecessarily increasing processing complexity across the entire volume.
2Measurement precision
If the entire volume data is processed with enhanced projection methods to improve thin feature visualization, then visualization accuracy improves, but processing time and computational load increase significantly
Solution Approach 1:
The patent segments the volume data based on curvature analysis to identify only those regions containing thin anatomical structures. By applying enhanced projection methods solely to these segmented regions rather than the entire volume, the processing time is significantly reduced while still achieving improved detection accuracy for fractures and other thin features. The segmentation step acts as a filter that isolates only the critical regions requiring enhanced processing.
Solution Approach 2:
The patent applies enhanced projection processing partially - only to regions identified as containing thin anatomical structures through curvature analysis, rather than applying it excessively to the entire volume data. This partial action approach achieves the necessary detection accuracy for fractures while avoiding the prohibitive computational cost of processing all volume data with enhanced methods.
3Measurement precision
If conventional MPR slab projection is used, then the processing is straightforward, but it is difficult to determine the size and extent of fractures accurately
Solution Approach 1:
The patent applies local quality enhancement by using curvature analysis to identify specific regions within the MPR slab that contain thin anatomical structures. Once identified, these local regions are processed with specialized projection techniques that preserve and enhance the visualization of thin features, enabling accurate measurement of fracture size and extent. The rest of the MPR slab maintains standard projection processing, keeping the overall system relatively simple while achieving precise measurements where needed.
Data Source
AI summary
A medical image processing apparatus comprising processing circuitry configured to: receive a slab comprising a plurality of samples determined by a camera model, determine whether one or more first samples of the plurality of samples are part of an anatomical region of interest, project the slab along a view direction onto an image plane to form an image, wherein in response to a determination that the one or more first samples are part of the anatomical region of interest, the processing circuitry is configured to project the one or more first samples using a first projection mode and project one or more second samples of the plurality of samples that are not part of the anatomical region of interest using a second projection mode.