Diffusion Tensor Imaging Scanning Direction Sequences for Artifact Reduction
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Solution Overview
Problem
Current diffusion tensor imaging methods are inefficient due to high requirements for magnetic resonance system stability, leading to errors, artifacts, and prolonged scanning times, which can result in failed scans and excessive data volume, making image reconstruction inaccurate and time-consuming.
Innovation Solution
A method and system for diffusion tensor imaging that determine scanning direction sequences based on user input and diffusion gradient directions, allowing for separate direction scanning, reducing data volume, and enabling supplementary scanning in specific directions to improve stability and accuracy, while allowing user-selected scanning directions to meet diverse requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If diffusion tensor imaging scans a target object in separate directions of diffusion gradients in sequence, then fiber tracking effect is improved, but scanning time is prolonged and system stability requirements increase
Solution Approach 1:
The patent segments the scanning process into multiple independent direction sequences, where each sequence scans a subset of diffusion gradient directions. This allows parallel processing of different direction sets, reducing total scanning time while maintaining comprehensive fiber tracking coverage through multiple sequences.
Solution Approach 2:
The patent performs preliminary quality assessment of scanning data after each direction sequence completion. If data quality meets predefined criteria, subsequent sequences can proceed independently without waiting for complete scanning, enabling early termination and reconstruction to reduce overall scanning time.
2Measurement precision
If diffusion tensor imaging scans in separate directions in sequence, then fiber tracking accuracy is improved, but magnetic resonance system stability requirements become extremely high
Solution Approach 1:
By dividing the scanning into multiple direction sequences that can be completed in shorter time intervals, the patent reduces the cumulative impact of system drift and instability. Each sequence is more resilient to transient fluctuations, and the segmented approach allows for intermediate corrections.
Solution Approach 2:
The patent implements real-time quality assessment feedback after each direction sequence. This feedback mechanism monitors data quality metrics and can trigger corrective actions or adjustments in subsequent sequences, compensating for system instability and maintaining accuracy without requiring extremely high overall system stability.
3Measurement precision
If high-resolution scanning is performed for prolonged periods, then image quality is improved, but data volume becomes excessive and post-processing complexity increases
Solution Approach 1:
The patent performs preliminary quality assessment after each direction sequence to determine if sufficient data has been acquired. This allows early termination of scanning when quality thresholds are met, preventing excessive data accumulation while ensuring adequate image quality through selective completion of sequences.
Solution Approach 2:
The patent extracts and processes data from completed direction sequences independently, performing partial reconstructions and quality assessments on subsets of data. This reduces the burden of processing entire large datasets simultaneously and enables progressive refinement of image quality without handling excessive data volume at once.
4Measurement precision
If scanning is performed in multiple directions to ensure accuracy, then fiber tracking precision is improved, but scanning efficiency decreases
Solution Approach 1:
The patent segments multiple scanning directions into independent sequences that can be processed in parallel or independently terminated. This maintains comprehensive directional coverage for precision while improving efficiency through selective execution and parallel processing of sequence subsets.
Solution Approach 2:
The patent performs preliminary quality checks after each sequence to determine if additional sequences are necessary. This allows the system to achieve required precision with fewer sequences when possible, improving efficiency by avoiding unnecessary scanning while maintaining the option to acquire more data if quality thresholds are not met.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces image errors, artifacts, and reconstruction time, enhances scanning stability, and saves resources by allowing targeted re-scanning, thereby improving the efficiency and accuracy of fiber tracking imaging.
Implementation Method 1
a method for diffusion tensor imaging scans a target object in separate directions of diffusion gradients
Implementation Method 2
Nuclear magnetic resonance imaging (NMRI), also referred to as magnetic resonance imaging (MRI)
Data Source
AI summary
Embodiments of the present disclosure provide a method, a system and a device for diffusion tensor imaging, and a storage medium. The method includes determining diffusion gradient directions; determining at least one scanning direction sequence based on the diffusion gradient directions, wherein each of the at least one scanning direction sequence includes at least one target scanning direction; and obtaining at least one set of scanning data by scanning a target object based on the at least one scanning direction sequence, wherein the at least one set of scanning data is used to determine a fiber tracking image of the target object.