3D Atrial Model Reconstruction From Sparse Cardiac Mapping Points
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for constructing 3D cardiac anatomical models face challenges such as reliance on extensive dense sampling of data points, model inaccuracies, and dependence on manual adjustments by specialized personnel, particularly in accessing difficult atrial regions like the left and right pulmonary veins and atrial appendages.
Innovation Solution
A method utilizing an atrial template model with predetermined control feature points, combined with an affine transformation network and a prediction network to automate the construction of a 3D cardiac anatomical model by mapping partial feature points and predicting displacements of control feature points, eliminating the need for manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If extensive dense sampling of data points is performed to construct 3D cardiac anatomical models, then measurement precision is improved, but loss of time increases and device complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-defining control feature points at critical anatomical locations (pulmonary veins, atrial appendages, valve positions) before data acquisition. This allows the system to target only essential regions for sampling, eliminating the need for exhaustive dense sampling across the entire atrial surface while still achieving accurate 3D model reconstruction.
Solution Approach 2:
The patent uses a template atrial model as a reference copy that contains pre-established control feature points. The actual patient-specific 3D model is constructed by mapping and deforming this template based on limited sampled points, rather than constructing the model from scratch through extensive sampling. This copying approach significantly reduces sampling requirements while maintaining model accuracy.
2Measurement precision
If extensive dense sampling of data points is performed, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts and focuses only on the essential control feature points at critical anatomical locations, removing the need to sample every point on the atrial surface. By taking out only the most important sampling locations (pulmonary veins, appendages, valve positions), the system reduces catheter manipulation complexity while maintaining sufficient data for accurate 3D model construction.
Solution Approach 2:
The patent applies partial action by sampling only the necessary portion of the atrial surface - specifically the control feature points at critical locations - rather than performing excessive dense sampling across the entire surface. This partial sampling strategy achieves adequate model accuracy with significantly reduced manipulation complexity.
3Manufacturing precision
If manual modification is performed by specialized personnel, then manufacturing precision is improved, but extent of automation decreases
Solution Approach 1:
The patent implements self-service by enabling the 3D model construction system to automatically identify, map, and deform control feature points without requiring manual intervention from specialized personnel. The system uses automated algorithms to match template feature points with sampled points and perform the deformation process, achieving both high precision and full automation.
Solution Approach 2:
The patent transforms the manual model construction process into an automated parameter-driven process. By defining control feature points with specific anatomical parameters and using algorithmic mapping and deformation based on sampled point coordinates, the system replaces manual expert operations with automated parameter transformations, maintaining precision while achieving automation.
4Manufacturing precision
If manual modification is performed, then manufacturing precision is improved, but loss of time increases
Solution Approach 1:
The system performs automated model construction without requiring manual modification steps, eliminating the time consumption associated with expert personnel reviewing and adjusting models. The automated algorithm independently completes feature point mapping, template deformation, and 3D model generation, significantly reducing total construction time while maintaining accuracy.
Solution Approach 2:
The patent replaces the manual mechanical process of model construction with an automated computational system. Instead of specialists manually identifying and adjusting feature points, the system uses algorithmic processing to automatically map template points to sampled points and perform deformation calculations, dramatically reducing the time required for model construction.
Data Source
Figure 1~3
AI summary
Disclosed are a method for constructing a 3D cardiac anatomical model and a 3D cardiac mapping system. The method includes: obtaining an atrial template model and point cloud data of the atrium to be modeled, the data comprising positional coordinate information of partial feature points within said atrium; using an affine transformation network to map the partial feature points to the atrial template model; inputting the point cloud data mapped to the atrial template model into a prediction network to predict the displacements of the control feature points in the atrial template model, and deforming the atrial template model based on said displacements to obtain a 3D anatomical model of said atrium. This approach enables fully automated construction of the 3D atrial anatomical model, by means of the positional coordinate information of a portion of the feature points of an atrium to be modeled, and utilizing a trained neural network, construct a three-dimensional anatomical model of the atrium to be modeled; moreover, human intervention is not required.