3D Cardiac Image Registration for Precise Ablation Lesion Localization
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Solution Overview
Problem
Current three-dimensional mapping systems in electrophysiology fail to accurately reflect myocardial activities, leading to inaccurate lesion location during catheter ablation procedures for arrhythmia, resulting in low success rates and high recurrence of arrhythmia.
Innovation Solution
An image processing method that combines imageological images with three-dimensional electroanatomic models to accurately locate lesions by registering three-dimensional myocardial fibrosis regions with abnormal myocardial tissue images, using tomographic images, three-dimensional reconstruction, and electroanatomic mapping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional three-dimensional mapping systems are used for electroanatomic imaging, then the imaging process is simplified and can be performed in real-time during surgery, but the accuracy of reflecting myocardial activity and locating lesions is insufficient
Solution Approach 1:
The patent combines imageological images (CT or MRI) showing myocardial fibrosis regions with three-dimensional electroanatomic models showing abnormal myocardial tissue. By merging these two different imaging modalities into a unified three-dimensional visualization system, the patent achieves both accurate lesion localization and comprehensive myocardial activity assessment without requiring separate independent systems.
Solution Approach 2:
The patent transforms two-dimensional imageological images into three-dimensional myocardial fibrosis region models through three-dimensional reconstruction. This dimensional transformation allows the fibrosis regions to be visualized and registered in the same three-dimensional space as the electroanatomic model, enabling precise spatial correlation and accurate lesion localization.
2Measurement precision
If imageological images are processed through three-dimensional reconstruction and registration, then lesion localization accuracy is improved, but the processing time and computational complexity increase
Solution Approach 1:
The patent performs three-dimensional reconstruction of imageological images into myocardial fibrosis region models before the actual ablation surgery. This preliminary processing allows the complex computational tasks to be completed in advance, so that during the surgical procedure, the system can directly utilize the pre-processed three-dimensional models for rapid registration and lesion identification, minimizing real-time processing delays.
3Productivity
If only electroanatomic mapping is used, then the procedure is faster and easier to perform, but the ability to detect and locate lesions accurately is limited
Solution Approach 1:
The patent segments the analysis into two complementary components: imageological imaging that identifies myocardial fibrosis regions, and electroanatomic mapping that characterizes electrical abnormalities. By dividing the diagnostic process into these separate but integrated segments, the system leverages the strengths of each modality—structural visualization from imaging and functional electrical data from mapping—to achieve both efficient procedure execution and accurate lesion detection.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the accuracy of lesion localization, improving surgical success rates, reducing recurrence, and simplifying the ablation procedure by providing precise ablation strategies.
Implementation Method 1
performing a three-dimensional reconstruction according to the plurality of the tomographic images to obtain a three-dimensional image model
Implementation Method 2
registering the three-dimensional image model and the three-dimensional electroanatomic model, and determining an overlapping portion of the three-dimensional myocardial fibrosis region image and the three-dimensional abnormal myocardial tissue image as a location of a lesion
Data Source
AI summary
The present disclosure relates to an image processing method, a storage medium and a mapping system. An imageological image including a plurality of tomographic images is acquired. A three-dimensional reconstruction is performed according to the plurality of tomographic images to obtain a three-dimensional image model. The three-dimensional image model includes a three-dimensional myocardial fibrosis region image. A three-dimensional electroanatomic model including a three-dimensional abnormal myocardial tissue image is acquired. Since there is a certain correlation between an abnormal myocardial tissue region in the three-dimensional electroanatomic model and myocardial fibrosis, the three-dimensional image model and the three-dimensional electroanatomic model are registered, and an overlapping part of the three-dimensional myocardial fibrosis region image and the three-dimensional abnormal myocardial tissue image is determined as the location of a lesion. Therefore, the accurate positioning of a lesion location is realized, which effectively improves the surgery success rate.