3D Anatomical Rendering with Landmark-Guided Fetal Heart Visualization
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Solution Overview
Problem
The inadequate and inconsistent expertise in acquiring and interpreting fetal cardiac images during ultrasound examinations leads to a low diagnosis rate of congenital heart diseases, despite the potential for improved in utero therapies, due to the small and fast-beating fetal heart and varied forms of cardiac anomalies.
Innovation Solution
A computer-implemented method for generating and displaying a 3D representation of anatomical structures using a 3D landmark model based on identified anatomical landmarks, controlling rendering parameters such as cutting planes, viewing directions, and lighting to facilitate accurate fetal heart analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional 2D ultrasound imaging is used for fetal heart examination, then the examination process is simple and quick, but the diagnostic accuracy is low due to inadequate expertise in acquiring and interpreting cardiac planes
Solution Approach 1:
A 3D landmark model is introduced as an intermediary between the raw ultrasound image data and the final 3D anatomical representation. The landmark model identifies key anatomical points and uses them to control rendering parameters, automatically guiding the 3D visualization process without requiring manual expert intervention for plane acquisition and interpretation
Solution Approach 2:
The manual mechanical process of acquiring and interpreting 2D cardiac planes by expert operators is replaced with an automated computational system. The system uses image processing algorithms to generate 3D anatomical models from ultrasound data, with rendering controlled automatically by the 3D landmark model rather than manual expert manipulation
2Productivity
If multiple 2D cardiac planes are manually acquired and interpreted, then comprehensive cardiac assessment is possible, but the process is time-consuming and expertise-dependent
Solution Approach 1:
The system performs preliminary processing of ultrasound image data to automatically generate the 3D landmark model before the actual 3D rendering and display. This preliminary action includes identifying anatomical landmarks and establishing the coordinate system, so that when rendering is needed, the framework is already in place and ready for rapid visualization
Solution Approach 2:
The system is self-sufficient in that it automatically processes raw ultrasound data through the complete workflow: generating 3D anatomical models, identifying landmarks, creating the 3D landmark model, and controlling rendering parameters. This self-service capability eliminates the need for manual expert intervention at each step, significantly improving efficiency
3Ease of operation
If 3D anatomical models are generated with detailed rendering, then clinician understanding and anomaly identification are improved, but the processing and rendering complexity increases
Solution Approach 1:
The 3D landmark model provides local quality control by identifying specific anatomical landmarks and using them to control rendering parameters in localized regions. Different parts of the anatomical structure can be rendered with different parameters (cutting planes, viewing directions, lighting) based on the landmark information, providing detailed visualization where needed while maintaining simplicity elsewhere
Data Source
AI summary
There is proposed a mechanism for generating and displaying a 3D representation of an anatomical structure of an individual. Image data of the anatomical structure is obtained and processed to obtain 2D images or image sequences corresponding to predetermined views of the anatomical structure. Anatomical landmarks are identified in the 2D images or image sequences and used to determine a 3D landmark model of the anatomical 5 structure. The 3D landmark model is used to render and display a 3D representation of the anatomical structure.