Automatic 3D Anatomical Demarcation with Skeleton-Axis Orientation
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Solution Overview
Problem
Existing methods for identifying segments of anatomical structures, such as the left atrium, are time-consuming and prone to human error, hindering efficient and accurate automated identification necessary for medical treatments like cardiac disorders.
Innovation Solution
A system and method that uses a skeleton axis and positional information to automatically demarcate segments of anatomical structures by generating a 3D model, overlaying identification enhancers like color, hatching, or shading to visually distinguish segments, utilizing imaging systems like MRI or CT scans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual identification of anatomical structure segments is performed by medical professionals, then accuracy can be maintained, but time consumption increases significantly and human error is introduced
Solution Approach 1:
The system creates a 3D model copy of the anatomical structure from imaging data, allowing automated analysis and segmentation without requiring manual manipulation of the original complex images. This digital replica enables rapid processing while maintaining accuracy through computational algorithms.
Solution Approach 2:
The patent replaces the manual mechanical process of visual inspection and manual segmentation by medical professionals with an automated computational system that uses algorithms to identify and segment anatomical structures, eliminating human labor while maintaining or improving accuracy.
2Productivity
If automated tools are used to identify anatomical structure segments, then time efficiency improves, but accuracy deteriorates due to individual variations in anatomical structures
Solution Approach 1:
The system dynamically adjusts segmentation parameters and thresholds based on the specific characteristics of each patient's anatomical structure, allowing the automated algorithm to adapt to individual variations rather than applying fixed criteria, thereby maintaining accuracy across diverse anatomical presentations.
Solution Approach 2:
The automated system performs self-adjustment and self-optimization by analyzing the unique features of each anatomical structure and automatically tuning its segmentation parameters, eliminating the need for manual calibration while maintaining high accuracy across different patients.
3Manufacturing precision
If special 3D editing software is used for manual segmentation, then segmentation capability is enhanced, but device complexity and operational difficulty increase
Solution Approach 1:
The patent extracts and isolates only the essential segmentation functionality from complex 3D editing software, creating a dedicated automated system that performs segmentation as a standalone function without requiring the full suite of complex editing tools, thereby simplifying the overall system while maintaining segmentation capability.
Data Source
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AI summary
Methods, apparatuses, systems, and programs are disclosed herein for automatically demarcating segments of an anatomical structure and include providing a processor having a memory, receiving and storing three-dimensional (3D) model data of an anatomical structure of a patient in the memory, generating positional information to orient 3D model data of the anatomical structure, identifying at least one segment of the 3D model data of the anatomical structure based on the positional information, demarcating the at least one identified segment of the 3D model data of the anatomical structure with an identification enhancer that visually distinguishes the at least one identified segment, and providing, for display, the 3D model data of the anatomical structure with the at least one demarcated segment.