Medical Device Selection Using 3D Anatomical Modeling
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Solution Overview
Problem
Conventional periprocedural planning for non-invasive cardiac procedures is limited by the use of two-dimensional imaging, which restricts the accuracy in assessing anatomical structures and selecting appropriate medical devices.
Innovation Solution
A method and system that utilize multi-dimensional imaging and modeling to acquire data, generate three-dimensional depictions of anatomical regions, define points, determine measurements, and select medical devices based on these measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional two-dimensional imaging is used for periprocedural planning, then the simplicity and ease of operation are maintained, but the measurement precision and accuracy in assessing anatomical structures deteriorate
Solution Approach 1:
The patent transitions from conventional two-dimensional imaging to three-dimensional imaging modalities (such as 3D echocardiography, cardiac MRI, or cardiac CT) to visualize anatomical structures. This dimensional enhancement allows physicians to accurately assess complex cardiac anatomy, measure structures in multiple planes, and plan procedures with improved precision without requiring overly complex additional equipment beyond modern cardiac imaging capabilities.
2Measurement precision
If three-dimensional imaging and modeling are implemented, then the accuracy of periprocedural planning is improved, but the device complexity and time required for processing increase
Solution Approach 1:
The system performs preliminary processing of three-dimensional imaging data to generate pre-procedural models and measurements before the actual procedure. By preparing anatomical models, calculating key measurements, and planning procedural steps in advance using automated algorithms, the system reduces the time burden during the procedure itself while maintaining high accuracy in planning.
3Reliability
If multi-dimensional depictions and measurements are generated, then the reliability of device selection is improved, but the complexity of the planning process increases
Solution Approach 1:
The planning system segments the complex task of device selection into distinct modules: acquiring three-dimensional imaging data, generating anatomical models, performing automated measurements, comparing measurements with device specifications, and recommending appropriate devices. This segmentation allows each function to be optimized independently and simplifies the overall process by breaking down complexity into manageable, automated steps that improve reliability in device selection.
Data Source
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AI summary
A method for selecting a medical device for use in the performance of a medical procedure. The method comprises acquiring image data relating to an anatomical region of interest of a patient's body and generating a multi-dimensional depiction of the anatomical region of interest using the acquired image data. The method further comprises defining a plurality of points relative to the multi-dimensional depiction, determining one or more measurements based on the defined plurality of points, and then selecting a medical device to be used based on the determined measurements.