Medical Image Processing for Left Atrial Appendage Reference Plane Correction
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Solution Overview
Problem
Conventional organ segmentation techniques face difficulties in accurately identifying a reference plane or reference line for catheter-based left atrial appendage closure, leading to potential misplacement of treatment devices and ineffective blood flow prevention.
Innovation Solution
A medical image processing apparatus that extracts a region of interest, identifies a reference plane or reference line, and corrects it based on the morphology of the region of interest and the treatment device, ensuring accurate placement and prevention of blood flow.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional organ segmentation techniques are used to identify reference plane or reference line, then the processing method is simple, but the identification accuracy is insufficient for clinical requirements
Solution Approach 1:
The patent segments the identification process into multiple specialized modules: a reference plane identification unit that initially identifies the reference plane, a morphology analysis unit that analyzes the three-dimensional morphology of the region of interest, and a correction unit that adjusts the reference plane based on morphological features. This segmentation allows each module to focus on specific tasks, improving overall identification accuracy while maintaining manageable system complexity through modular design.
Solution Approach 2:
The patent transitions from two-dimensional organ segmentation to three-dimensional morphology-based reference plane identification. By utilizing three-dimensional imaging data and analyzing spatial relationships in multiple dimensions, the system achieves clinically sufficient accuracy in identifying the reference plane and reference line, overcoming the limitations of conventional 2D segmentation techniques.
2Manufacturing precision
If conventional organ segmentation techniques are used, then the processing speed is fast, but the treatment device placement accuracy is insufficient
Solution Approach 1:
The system performs preliminary three-dimensional morphology analysis and automated reference plane identification before treatment device placement. By pre-processing the imaging data to accurately establish the reference plane and reference line in advance, the system ensures that treatment devices can be placed with clinically sufficient accuracy without requiring time-consuming manual adjustments during the actual procedure.
Solution Approach 2:
The patent implements a feedback mechanism where the correction unit continuously adjusts the reference plane based on three-dimensional morphological analysis. The system evaluates whether the identified reference plane satisfies predetermined conditions and iteratively corrects it, ensuring high placement accuracy for treatment devices while automating the process to minimize time loss.
3Reliability
If manual identification of reference plane is performed, then the flexibility is high, but the reliability is insufficient due to human error
Solution Approach 1:
The system performs self-service automated identification and correction of the reference plane based on three-dimensional morphological analysis of the region of interest. The morphology analysis unit and correction unit work autonomously to identify anatomical features and adjust the reference plane without human intervention, eliminating human error and improving reliability while maintaining clinical accuracy.
Solution Approach 2:
The patent replaces manual mechanical identification methods with automated computational algorithms. The system uses image processing algorithms and morphological analysis to automatically identify the reference plane and reference line, substituting human manual operations with automated computational processes that provide consistent, reliable results free from human error.
Data Source
AI summary
The medical image processing apparatus according to an exemplary embodiment includes processing circuitry. The processing circuitry is configured to extract a region of interest from a medical image. The processing circuitry is configured to identify a reference plane or a reference line based on the region of interest. The processing circuitry is configured to correct the identified reference plane or the identified reference line based on a morphology of the region of interest.