Left Ventricle Boundary Detection Using Coordinate System Alignment
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Solution Overview
Problem
The existing medical image processing apparatuses face a challenge in accurately detecting heart boundaries due to the lack of alignment and posture detection of the heart in volume data, leading to reduced detection accuracy.
Innovation Solution
A medical image processing apparatus that acquires volume data of the heart, detects a three-dimensional left ventricle coordinate system, and uses a deformable boundary model to detect the left ventricle boundary, displaying it on cross-sectional images orthogonal to the coordinate system axes for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If boundary detection is performed directly from volume data without heart position and posture alignment, then the processing is simpler and faster, but the detection accuracy of heart boundaries decreases
Solution Approach 1:
The patent applies preliminary action by detecting the heart's position and posture, and establishing a coordinate system aligned with the heart's long axis before performing boundary detection. This preprocessing step ensures that the boundary model is applied in the correct anatomical orientation, thereby improving detection accuracy without compromising processing efficiency
Solution Approach 2:
The patent introduces a coordinate system as an intermediary between the volume data and the boundary detection process. This coordinate system, defined by three axes including the heart's long axis, serves as a reference framework that facilitates accurate boundary detection while maintaining processing efficiency
2Measurement precision
If a deformable boundary model is used to detect left ventricle boundary by minimizing error between boundary pattern and predetermined model, then the detection accuracy improves, but the computational complexity and processing time increase
Solution Approach 1:
The patent implements feedback by iteratively deforming the boundary model and calculating the error between the boundary pattern obtained from volume data and the predetermined boundary pattern model. The boundary model is continuously adjusted based on this error feedback until the error is minimized, ensuring high detection accuracy
Solution Approach 2:
The patent applies dynamics by using a deformable boundary model that can adapt its shape to match the actual left ventricle boundary. The model's flexibility allows it to conform to the anatomical variations in the volume data, improving detection accuracy while the iterative optimization process manages computational complexity
Data Source
AI summary
[Object] The invention is intended to provide a medical image processing apparatus in which improvement of accuracy of boundary detection of a heart is achieved.[Solving Means] A medical image processing apparatus acquires volume data of a heat, detects a three-dimensional left ventricle coordinate system composed of three axes including at least a left ventricle long axis of the heart from the volume data; uses a boundary model expressed in the left ventricle coordinate system and detects a left ventricle boundary from the volume data, and displays a cross-sectional image orthogonal to at least one axis of the three axes of the left ventricle coordinate system together with the detected left ventricle boundary on the cross-sectional image.