3D Heart Model Generation with Data Sufficiency Feedback
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Solution Overview
Problem
Current methods for generating three-dimensional geometric models of anatomical regions, such as the heart, face challenges in ensuring comprehensive data coverage during intracardiac echocardiography, leading to potential gaps or inconsistencies due to cardiac and respiratory cycles, which can affect the accuracy and completeness of the volumetric images.
Innovation Solution
A method and system that assemble two-dimensional echographic image slices into a three-dimensional geometric model using localization information, with graphical representations of data sufficiency, including voxel opacity, one-dimensional, and two-dimensional illustrations, and data collection cues to guide practitioners in collecting additional data, ensuring thorough coverage of the region of interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional ultrasound imaging methods are used to generate three-dimensional volumetric images of the heart, then the imaging process can be performed with standard equipment, but data coverage gaps and inconsistencies occur due to cardiac and respiratory cycles affecting completeness
Solution Approach 1:
The system continuously monitors data sufficiency metrics during the imaging process and provides real-time feedback to guide transducer positioning. The feedback mechanism compares acquired data against completeness criteria and directs the operator to collect additional images in under-sampled regions, ensuring comprehensive coverage of the entire heart volume despite cardiac and respiratory motion.
Solution Approach 2:
The system pre-defines a complete set of required image slices and anatomical regions that must be captured before a volumetric model can be considered complete. This preliminary planning ensures that all necessary data is collected in advance, accounting for cardiac and respiratory cycles, before final image reconstruction occurs.
2Measurement precision
If comprehensive data collection is performed to cover entire regions of interest including cardiac and respiratory cycles, then the accuracy of the three-dimensional model is improved, but the time required for data collection and processing increases
Solution Approach 1:
The system implements progressive data collection where a preliminary volumetric model is generated from initially acquired images, then selectively collects additional images only in regions identified as insufficient. This partial action approach avoids collecting excessive data uniformly across all regions, reducing overall collection time while maintaining model accuracy through targeted supplementation.
Solution Approach 2:
The system performs preliminary assessment of data sufficiency and identifies critical anatomical regions that require complete coverage before final model generation. This allows prioritization of essential data collection during critical cardiac phases while minimizing unnecessary data acquisition, thereby reducing total processing time while preserving measurement precision.
3Ease of operation
If real-time guidance and visualization of data sufficiency is implemented, then practitioners can identify and address gaps in image data collection, but the system complexity and computational requirements increase
Solution Approach 1:
The system segments the complex task of volumetric image acquisition into manageable components: individual image slice evaluation, regional data sufficiency assessment, and prioritized guidance generation. Each segment processes specific aspects of data quality independently, reducing overall computational complexity while maintaining ease of operation through modular, step-by-step guidance presentation to the practitioner.
Data Source
AI summary
A three-dimensional geometric model of a heart can be generated from a plurality of two-dimensional image slices of the heart collected using an intracardiac echocardiography (“ICE”) catheter. Each image slice can be associated with localization information for the ICE catheter. The image slices can be output in a plurality of voxels according to their associated localization information, thereby creating a three-dimensional geometric model of the heart. Data sufficiency of the three-dimensional model can also be graphically represented. For example, data sufficiency can be represented using voxel opacity, a one-dimensional illustration, a two-dimensional illustration, and/or a data collection cue.