MRI Apparatus Automatic Heart Axis Detection
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Solution Overview
Problem
Cardiac MRI examinations are complex and time-consuming, requiring expert proficiency and multiple positioning operations that necessitate subjects to stop breathing multiple times, making the process inefficient and operator-dependent.
Innovation Solution
A magnetic resonance imaging (MRI) apparatus that acquires three-dimensional imaging data with varying resolutions, detects provisional and high-precision axes to generate two-dimensional image data, allowing for precise positioning and imaging of heart views like the horizontal long-axis view without the need for multiple breathing stops.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple positioning operations are performed to acquire desired heart views, then imaging precision is improved, but examination time increases and productivity decreases
Solution Approach 1:
The system performs preliminary acquisition of three-dimensional imaging data covering the entire heart region before final image generation. This preliminary action provides comprehensive spatial information that enables automatic determination of imaging positions and orientations, eliminating the need for multiple manual positioning operations and their associated breathing stops, thus resolving the contradiction between positioning precision and examination efficiency
2Measurement precision
If multiple positioning operations are performed to acquire desired heart views, then imaging precision is improved, but operator skill requirement increases
Solution Approach 1:
The system implements self-service through automatic processing algorithms that independently determine imaging positions and orientations based on the acquired three-dimensional heart data. The automatic processing unit performs template matching, axis determination, and image generation without operator intervention, making the system independent of operator skill level while maintaining high positioning precision
Solution Approach 2:
The system replaces manual mechanical positioning operations with automated computational processing. Instead of operators manually adjusting imaging parameters based on anatomical knowledge, the system uses image processing algorithms to automatically determine optimal imaging positions and generate desired heart views, substituting expert human judgment with automated intelligent processing
3Measurement precision
If multiple breathing stops are required for positioning, then positioning accuracy is improved, but subject burden increases and examination time extends
Solution Approach 1:
The system acquires comprehensive three-dimensional imaging data of the entire heart region in advance as a preliminary step. This single acquisition provides all necessary spatial information for determining multiple imaging positions and orientations, eliminating the need for repeated positioning operations and their associated breathing stops, thus reducing both examination time and subject burden while maintaining positioning accuracy
Solution Approach 2:
The system merges multiple positioning operations into a single comprehensive imaging acquisition. By acquiring three-dimensional data that encompasses the entire heart region in one operation, the system combines what would otherwise require multiple separate positioning steps into a unified process, reducing the number of breathing stops required while preserving the ability to generate multiple desired heart views
Data Source
AI summary
A magnetic resonance imaging apparatus acquires first imaging data of a three-dimensional image including a heart, having a plurality of two-dimensional first imaging area data superimposed one on top of another in parallel, and having a resolution at least in one direction different from a resolution in two other directions. A first axis is detected expressed in three dimensions relating to the heart from the three-dimensional first imaging data. A first vector is calculated passing through the first axis and having at least a predetermined resolution. First image data is generated on a plane passing through the first axis and the first vector from the first imaging data and a second axis is detected relating to the heart from the first image data, the second axis being a higher precision axis.