3D Texture Map Lesion Rendering via Tissue Necrosis Values
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Solution Overview
Problem
Existing systems for rendering lesions on geometric surface models, such as those of cardiac structures, lack accuracy as they do not consider relevant parameter values like power level, delivery duration, tissue contact force, lesion-size index, or force-time integral, leading to incomplete and inaccurate representation of lesions.
Innovation Solution
A computer-based system that creates a three-dimensional texture map with voxels having tissue necrosis values, incrementing these values based on parameters like power level, delivery duration, and tissue contact force to generate total tissue necrosis values, allowing for accurate rendering and display of lesions on the geometric surface model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If lesions are rendered as simple brown spheres or surface patches with user-selectable radius, then the system is easy to operate, but the manufacturing precision and reliability of lesion representation deteriorate
Solution Approach 1:
The patent transforms the lesion rendering approach by changing from simple geometric parameters (radius, position) to multiple physiological parameters including power level, delivery duration, tissue contact force, lesion-size index (LSI), and force-time integral (FTI). This parameter transformation enables accurate representation of lesion characteristics while maintaining automated operation through computational processing of these parameters.
Solution Approach 2:
The patent creates a virtual copy of the actual ablation process by rendering lesions based on recorded parameter values from the ablation procedure. This copying approach allows the visual representation to accurately reflect the real-world physiological effects without requiring manual reconstruction, thereby maintaining both ease of operation and high precision.
2Manufacturing precision
If lesions are rendered based on multiple parameter values including power level, delivery duration, tissue contact force, LSI, and FTI, then the manufacturing precision and reliability of lesion representation improve, but the device complexity increases
Solution Approach 1:
The patent introduces a computational intermediary layer that processes multiple ablation parameters and translates them into accurate lesion representations. This intermediary system automatically integrates power level, delivery duration, tissue contact force, LSI, and FTI data, eliminating the need for complex manual calculations while maintaining high precision in lesion rendering.
Solution Approach 2:
The rendering system is designed with multi-functionality to handle various types of ablation parameters simultaneously. By creating a universal processing framework that can accommodate different parameter combinations (power, duration, force, LSI, FTI), the system achieves high precision without proportionally increasing complexity, as the same computational infrastructure serves multiple measurement functions.
3Device complexity
If lesions are not rendered based on parameter values such as power level, delivery duration, tissue contact force, LSI, or FTI, then the device complexity is reduced, but the reliability and accuracy of lesion representation deteriorate
Solution Approach 1:
The patent implements feedback mechanisms where the rendering system continuously receives and processes ablation parameter data during the procedure. This feedback loop ensures that the visual representation remains synchronized with the actual physiological effects, maintaining high reliability. The system automatically adjusts the lesion display based on real-time parameter updates without requiring complex manual intervention.
Data Source
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AI summary
The present disclosure provides systems and methods for rendering lesions on a geometric surface model of a geometric structure. The system includes a computer-based model construction system configured to create a three-dimensional (3D) texture map including a plurality of voxels each having a tissue necrosis value, increment the tissue necrosis values as a function of at least one parameter to generate a total tissue necrosis value for each voxel, render at least one lesion on the geometric surface model based on the total tissue necrosis values, and display the geometric surface model and the at least one rendered lesion.