Anatomical Intelligence Framework for Bone Metastasis Visualization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current medical imaging techniques, such as whole-body MRI, are inefficient in displaying and analyzing bone metastases due to the need to review multiple slices, which is time-consuming and labor-intensive for radiologists.
Innovation Solution
A framework that automatically localizes and highlights anatomical structures of interest, such as bone structures, by reformatting image data to display them in fewer slices, using techniques like segmentation, landmark detection, and diffeomorphic extrapolation, allowing for more efficient visualization and detection of bone metastases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If radiologists review multiple slices to detect bone metastases, then detection completeness is improved, but time consumption and labor intensity increase
Solution Approach 1:
The patent extracts and highlights only the bone structures of interest from the complete image dataset, separating relevant information from unnecessary background data. This allows radiologists to focus exclusively on potential metastasis sites without reviewing every slice, thereby maintaining detection completeness while reducing time consumption.
Solution Approach 2:
The patent segments the imaging data by automatically identifying and isolating bone structures into distinct visual elements. By dividing the complex imaging task into manageable segments (bone structures vs. soft tissue), the system enables efficient review of only critical areas, resolving the contradiction between comprehensive detection and time efficiency.
2Adaptability or versatility
If multiple slices are displayed to show all bone structures, then anatomical coverage is improved, but visualization complexity increases
Solution Approach 1:
The patent extracts only the bone structures from the multi-slice imaging data, removing soft tissue and other non-bone elements. This extraction creates a simplified visualization that maintains complete anatomical coverage of bone structures while significantly reducing visualization complexity by eliminating irrelevant information.
Solution Approach 2:
The patent applies local quality enhancement by highlighting and emphasizing bone structures with distinct visual properties (such as brightness or contrast) while maintaining normal appearance of other tissues. This allows comprehensive anatomical coverage with reduced complexity, as the enhanced regions draw attention to critical areas without requiring review of all slices.
3Productivity
If automatic localization is implemented, then reading efficiency is improved, but system complexity increases
Solution Approach 1:
The patent implements self-service by enabling the imaging system to automatically localize and highlight bone structures without requiring manual intervention or complex user input. The system autonomously processes the imaging data, identifies relevant structures, and presents them in an optimized format, thereby improving reading efficiency while keeping the user interface simple and the overall system complexity manageable.
Data Source
AI summary
A framework for facilitating visualization, including localizing at least one anatomical structure of interest in image data. The structure of interest is then highlighted by reformatting the image data by mapping landmarks associated with the structure of interest to corresponding points along a contour of a geometric shape and warping the image data based on the mapped landmarks. The resulting reformatted image data is rendered for display to a user.