3D Ultrasound Anatomical Surface Modeling Without Data Point Collection

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Solution Overview

Problem

Existing methods for creating three-dimensional anatomical models of heart chambers rely heavily on data point collection, which can be cumbersome and require additional clinical procedures.

Innovation Solution

A method for generating anatomical surface models using three-dimensional ultrasound images, involving segmentation of blood pool/tissue boundaries through iterative evolution of an initial boundary using a level set-based partial differential equation, solved with an additive operator scheme in parallel dimensions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If data point collection methods are used to create three-dimensional anatomical models, then model accuracy can be achieved, but the process becomes cumbersome and requires additional clinical procedures

Engineering Contradiction:
Improvemodel accuracyVSAvoidprocedure complexity
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The patent replaces the mechanical/manual data point collection process with an automated image processing system. The level set method automatically segments and reconstructs three-dimensional anatomical models from two-dimensional ultrasound images, eliminating the need for manual catheter-based data point collection and reducing procedural complexity while maintaining model accuracy

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If extensive data point collection is performed, then accurate anatomical models can be generated, but the time required for model creation increases

Engineering Contradiction:
Improveanatomical model accuracyVSAvoidmodel creation time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent performs preliminary image processing and segmentation during the imaging phase itself. By implementing automated level set-based segmentation that operates on collected ultrasound images without requiring subsequent manual data point collection, the system prepares the anatomical model data in advance, significantly reducing the time required for final model generation while maintaining accuracy

Inventive Principle:
Principle #10Preliminary action

3Reliability

If manual data point collection methods are used, then anatomical models can be created, but additional clinical procedures are required

Engineering Contradiction:
Improvemodel generation capabilityVSAvoidclinical procedure requirements
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent creates a multi-functional system that performs both imaging and model generation within a single integrated platform. The level set-based automated segmentation system enables the same imaging equipment to produce both diagnostic images and three-dimensional anatomical models, eliminating the need for separate data collection procedures and reducing overall system complexity

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250380925A1Method and system for modeling anatomical surfaces
Publication Date: 2025.12.18 ST JUDE MEDICAL CARDILOGY DIV INC
  • US20250380925A1 patent drawing
  • US20250380925A1 patent drawing
  • US20250380925A1 patent drawing

AI summary

An electroanatomical mapping system models an anatomical (e.g., endocardial) surface bounding an anatomical volume (e.g., a heart chamber). The system receives a three-dimensional ultrasound image containing the volume, segments a blood pool/tissue boundary of the volume in the image, and outputs the segmented boundary as a model of the anatomical surface. In embodiments, segmentation includes solving a level set-based partial differential equation in three dimensions to iteratively expand from an initial boundary to a final boundary. In particular, an additive operator scheme, or other semi-implicit scheme, can be used to solve the partial differential equation, advantageously with all dimensions being solved in parallel.