Polar Map Boundary Adjustment for Cardiac Imaging Referentiality
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional medical diagnostic imaging systems face challenges in maintaining referentiality of polar map displays when altering boundary positions for regions of interest, particularly in cardiac imaging, where standard segment models may not be applicable to all cases, leading to discontinuities and altered referentiality.
Innovation Solution
The system includes a controller with an obtaining unit, calculating unit, generator, alteration unit, and display controller that processes three-dimensional medical image data to calculate wall motion indices and generate polar maps, allowing for boundary position alterations while maintaining the layout positions of sections, ensuring continuous referentiality and accurate segmentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If boundary positions are altered to fit non-standard cardiac chambers, then adaptability to different cardiac anatomies is improved, but referentiality and continuity of the polar map display deteriorate
Solution Approach 1:
The polar map display is divided into multiple sections, each corresponding to a specific region of the cardiac chamber. By segmenting the display, the system can independently adjust boundary positions for each section to accommodate non-standard anatomies while preserving the overall referentiality of the polar map structure.
Solution Approach 2:
The patent introduces a third dimension (depth or layering) to the polar map display by implementing multiple boundary layers. This allows boundary positions to be adjusted in one layer without affecting the referentiality in other layers, thus resolving the contradiction between adaptability and reliability.
2Manufacturing precision
If standard segment models are applied to all cardiac chambers, then manufacturing precision and consistency are improved, but adaptability to individual anatomical variations deteriorates
Solution Approach 1:
The segment boundaries are designed to be dynamic and adjustable rather than fixed. The system allows operators to modify boundary positions interactively while maintaining the underlying segment model structure, thus achieving both consistency through the model and adaptability through dynamic adjustment.
Solution Approach 2:
The patent applies local quality by allowing different regions of the polar map to have different boundary characteristics. Standard segment models provide the overall structure, while local boundary adjustments can be made in specific regions to accommodate anatomical variations without affecting the entire display.
3Stability of the object's composition
If boundary positions are fixed to maintain polar map structure, then layout consistency is improved, but ability to fine-tune segment boundaries deteriorates
Solution Approach 1:
The boundary positions are implemented as dynamic elements that can be adjusted while the polar map layout maintains its overall structure. This allows operators to fine-tune boundaries interactively without compromising the stability and consistency of the polar map composition.
Solution Approach 2:
The patent introduces an intermediary layer between the fixed polar map structure and the adjustable boundaries. This intermediary allows boundary modifications to be applied without directly affecting the underlying polar map layout, thus maintaining layout consistency while enabling fine-tuning capability.
Data Source
AI summary
A medical diagnostic imaging apparatus according to embodiments includes storage circuitry and processing circuitry. The storage circuitry stores therein volume data concerning a three-dimensional region inside an object. The processing circuitry calculates an index value concerning a region of interest in the volume data, and generates a first medical image and a second medical image based on the index value. The respective positions in the first medical image and the second medical image are associated with each other by a certain coordinate conversion. The region of interest is divided into a plurality of first regions by a first boundary position. The second medical image is divided into a plurality of second regions by a second boundary position that is not altered in accordance with the alteration of the first boundary position.


