MRI Reconstruction Base Transform Selection
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Solution Overview
Problem
Medical imaging devices like MRI apparatuses face low examination throughput due to high reconstruction times in iterative optimization operations using compressed sensing, where reducing the number of iterations or changing threshold values compromises image quality.
Innovation Solution
A medical imaging device configuration that includes a reconstruction unit performing iterative optimization using a base selecting unit to choose a different base transform for each iteration from a set of base transforms, reducing the number of transforms used while maintaining image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the number of iterations in iterative optimization is reduced to increase processing speed, then reconstruction time decreases, but image quality deteriorates
Solution Approach 1:
The patent applies dynamics by making the base transform selection variable across iterations rather than fixed. The base selecting unit dynamically chooses different base transforms (e.g., wavelet, curvelet, ridgelet) for different iterations, allowing the system to adapt its processing approach throughout the optimization process to balance speed and quality
Solution Approach 2:
The patent changes the parameter of base transform type across iterations. By selecting from multiple base transforms with different characteristics (wavelet for general features, curvelet for edges, ridgelet for linear structures), the system optimizes the reconstruction process to achieve both faster processing and maintained image quality
2Manufacturing precision
If multiple base transforms are used in iterative optimization to improve image quality, then image quality improves, but calculation cost increases
Solution Approach 1:
The patent applies partial action by selecting a subset of base transforms for each iteration rather than applying all available transforms every time. The base selecting unit chooses one or more appropriate base transforms based on the current iteration and data characteristics, reducing unnecessary calculations while maintaining reconstruction quality
Solution Approach 2:
The system dynamically adjusts which base transforms are applied at each iteration stage. Early iterations may use simpler transforms for quick initial reconstruction, while later iterations apply more computationally intensive transforms only when needed to refine specific image features, optimizing the balance between quality and cost
3Ease of operation
If predetermined base transforms are determined in advance and used in every iteration, then processing is simpler, but processing speed decreases
Solution Approach 1:
The patent implements dynamics by making base transform selection adaptive rather than static. The base selecting unit determines which base transforms to use based on current iteration progress and data characteristics, allowing the system to skip unnecessary transforms in early iterations and focus computational resources where they provide the most benefit
Solution Approach 2:
The system performs preliminary assessment of the input data and iteration stage to pre-determine the most appropriate base transforms before each iteration. This preliminary selection avoids applying all possible transforms uniformly, reducing redundant calculations while maintaining the ability to use multiple transforms when necessary
Data Source
AI summary
In a medical imaging device that performs compressed sensing, it is possible to shorten a reconstruction time while maintaining image quality.The medical imaging device includes an image reconstructing unit that reconstructs an image by performing an iterative optimization operation of compressed sensing and a base selecting unit that selects a base transform which is used for the optimization every iteration. The base selecting unit may select a base on the basis of a predetermined base sequence or may select a base using weighting factors which are set for the bases in advance. The invention is applied to a medical imaging device such as an MRI apparatus, an ultrasonic imaging apparatus, or a CT apparatus.