Dual Rendering Medical Imaging Segmentation Subtraction
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Solution Overview
Problem
Existing methods for visualizing vessel and bone structures in medical imaging struggle with simultaneous and clear separation, as bone structures often obscure vessels and require time-consuming manual editing or parameter adjustments, leading to unsatisfactory results due to overlapping density values.
Innovation Solution
The dual rendering method allows for simultaneous generation and display of different types of reconstructed data sets from a single acquisition run, enabling the combination of native mask, native fill, subtracted, and enhanced reconstructions with adjustable transparency and color settings, facilitating the visualization of both bone and vessel structures without hiding anatomical orientation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual editing or parameter adjustments are used to separate bone and vessel structures, then visualization clarity is improved, but time consumption increases
Solution Approach 1:
The patent applies segmentation by separating bone and vessel structures into different volume data sets through image subtraction. The system automatically segments the vessel structures from the bone structures by subtracting the mask images (without contrast agent) from the fill images (with contrast agent), creating distinct data sets that can be visualized separately without manual editing.
Solution Approach 2:
The patent implements preliminary action by pre-processing the image data through automatic subtraction and reconstruction before visualization. The system performs the subtraction of mask and fill images, reconstructs the volume data sets, and prepares the segmented structures in advance, eliminating the need for time-consuming manual editing during the visualization phase.
2Measurement precision
If different reconstruction types are generated separately, then each data set can be optimized for specific structures, but processing time and resource usage increase
Solution Approach 1:
The patent merges multiple reconstruction processes into a single integrated workflow. By combining the mask and fill image subtraction with volume reconstruction and dual rendering in one automated process, the system generates optimized bone and vessel data sets simultaneously, improving processing efficiency while maintaining structure-specific optimization.
Solution Approach 2:
The patent implements multi-functionality through a single acquisition run that generates multiple optimized data sets. The system universally processes the raw images to create both bone-optimized and vessel-optimized reconstructions, allowing one processing pipeline to serve multiple visualization needs without requiring separate dedicated processes.
3Measurement precision
If bone structures are visualized with high opacity, then bone detail is improved, but vessel structures become obscured
Solution Approach 1:
The patent resolves this contradiction through segmentation by creating separate volume data sets for bone and vessel structures. The automatic subtraction process segments the vessel information from the bone information, allowing each to be rendered independently with appropriate opacity settings without one obscuring the other.
Solution Approach 2:
The patent uses image subtraction as an intermediary process to separate the overlapping bone and vessel information. By subtracting the mask images from the fill images, the system creates an intermediate vessel-specific data set that can be visualized alongside bone structures without the obscuration problem caused by overlapping density values in the original images.
4Measurement precision
If image subtraction is performed to isolate vessels, then vessel visibility is improved, but bone structures are completely removed
Solution Approach 1:
The patent applies segmentation to create distinct bone and vessel data sets from the subtraction process. Rather than completely removing bone information, the system segments it into a separate data set that can be independently controlled and visualized alongside the vessel structures when needed.
Solution Approach 2:
The patent implements dynamics through the dual rendering capability that allows dynamic switching and combination of bone and vessel visualizations. The system can dynamically adjust the display to show vessels alone, bones alone, or both together, providing flexible control over information display based on diagnostic needs.
Data Source
AI summary
In a method and system for dual rendering of images, a first volume image is reconstructed with a computer. A second volume image is reconstructed with the computer. The first reconstructed volume image is adjusted for a desired rendering. The second volume image is adjusted for desired rendering. A dual rendering of the first and second volume images is displayed where one of the volume images can be seen through the other volume image. Also, a simultaneous generation of different types of reconstructed data sets out of a single acquisition run for those data sets corresponding to the dual rendered images is provided for. The diagnostic questions is shown in FIG. 5.