3D Roadmap Model for CRT Lead Placement
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Solution Overview
Problem
Current cardiac resynchronization therapy (CRT) techniques face challenges in accurately selecting patients and optimally positioning the left ventricular lead due to suboptimal imaging techniques and high operator variability, leading to a significant proportion of patients not benefiting from the therapy.
Innovation Solution
The development of a 3D roadmap model that integrates anatomical and mechanical activation data, including myocardium infarct scar distribution, to guide the optimal placement of pacemaker leads, using advanced imaging and computer processing to create a precise, objective, and reproducible method for lead placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional imaging techniques and operator-dependent methods are used for CRT lead placement, then the procedure is simpler to perform, but the positioning accuracy and reproducibility are reduced
Solution Approach 1:
The patent combines multiple imaging modalities (MRI, CT, ultrasound) and integrates anatomical, functional, and electrical data into a unified 3D model. This merging of multiple data sources enables precise lead placement guidance while systematically reducing operator variability through automated image fusion and analysis algorithms.
Solution Approach 2:
The system performs comprehensive pre-procedural imaging and 3D model construction before the actual lead placement procedure. By预先 acquiring detailed anatomical and functional data and creating virtual treatment plans, the system enables more accurate and reproducible lead placement during the actual procedure, reducing the need for trial-and-error adjustments.
2Reliability
If advanced 3D roadmap modeling with multiple imaging modalities is implemented, then measurement precision and reproducibility improve, but the procedure time and operational complexity increase
Solution Approach 1:
The system performs comprehensive pre-procedural imaging and 3D model construction before the actual lead placement procedure. By acquiring detailed anatomical and functional data in advance and creating virtual treatment plans, the system enables more accurate and reproducible lead placement during the actual procedure, reducing the need for trial-and-error adjustments and thereby reducing overall procedural time.
Solution Approach 2:
The patent creates virtual 3D copies and models of the patient's cardiac anatomy and physiology from actual imaging data. These digital twins allow for virtual testing and optimization of lead placement strategies before the actual procedure, enabling clinicians to predict treatment outcomes and refine approaches without adding time to the actual implantation procedure.
3Ease of operation
If operator-dependent imaging techniques are used, then the equipment and methodology remain simple, but the variability and subjectivity in lead placement increase
Solution Approach 1:
The patent replaces manual, operator-dependent image interpretation with automated computer-aided analysis systems. The system automatically fuses images from multiple modalities, registers anatomical landmarks, identifies optimal lead placement locations, and provides real-time guidance during the procedure. This substitution of automated computational methods for manual techniques significantly reduces operator variability while maintaining ease of operation through user-friendly interfaces.
Data Source
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AI summary
A method for providing guidance in Cardiac Resynchronization Therapy (CRT) comprising: a) providing image data sets of the heart of a patient; b) creating a three-dimensional (3D) anatomical model of the cardiac structures; c) calculating myocardium infarct scar distribution; d) calculating heart mechanical activation data; e) superimposing the scar distribution and the mechanical activation data on the 3D anatomical model to obtain a 3D roadmap model including anatomical geometry and mechanical activation data. A corresponding device and computer program are also disclosed.