Adaptive Multi-Resolution MRI Scanning for ROI Optimization
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Solution Overview
Problem
Conventional MRI techniques require lengthy scanning times to achieve high-quality images, especially for localized regions, as improving image quality in one area necessitates re-imaging the entire field-of-view, which is inefficient and time-consuming.
Innovation Solution
The method involves identifying regions-of-interest (ROIs) within a larger field-of-view and using adaptive scan parameters to acquire high-quality data only from these areas through multidimensional signal localization, allowing for the reconstruction of higher-quality images in a time-optimized manner without re-imaging the entire volume.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional MRI methods are used to improve image quality in a localized region, then the image quality is improved, but the scanning time increases significantly because the entire field-of-view must be re-imaged
Solution Approach 1:
The patent divides the field-of-view into multiple regions and applies different imaging resolutions to each region. A first region is imaged at a first resolution while a second region is imaged at a second resolution, allowing localized high-quality imaging without re-imaging the entire volume, thus reducing scanning time while maintaining image quality where needed
Solution Approach 2:
The patent implements adaptive multi-resolution imaging where different spatial resolutions are applied to different regions of the field-of-view based on their relative importance. This allows the system to concentrate imaging resources on specific regions of interest while using lower resolution for less critical areas, optimizing both image quality and scanning efficiency
2Measurement precision
If the entire volume is re-imaged with higher quality parameters, then the image quality is improved, but the productivity decreases due to the time-consuming nature of full-volume re-imaging
Solution Approach 1:
The imaging volume is segmented into multiple regions with different quality requirements. The system acquires data for a first region at a first resolution and data for a second region at a second resolution, enabling selective high-quality imaging of only the necessary regions rather than re-imaging the entire volume, thus improving scanning efficiency
Solution Approach 2:
The patent applies partial action by acquiring high-quality data only for specific regions of interest rather than uniformly across the entire field-of-view. This selective approach improves productivity by avoiding unnecessary data acquisition in regions where high quality is not required, while still achieving the desired image quality in critical areas
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 enables the production of composite images with improved quality in localized regions while maintaining lower quality in other areas, significantly reducing scanning time and enhancing image resolution and signal-to-noise ratio without the need for full re-imaging.
Implementation Method 1
magnetic resonance imaging ('MRI')
Implementation Method 2
provide radio frequency ('RF') excitation to substantially only the at least one ROI
Implementation Method 3
Scan parameters that define how to control the MRI system to acquire data from the at least one ROI
Data Source
AI summary
Systems and methods for adaptive, multi-resolution magnetic resonance imaging (“MRI”), in which an MRI scan prescription is adaptively changed to acquire high-quality data from select regions-of-interest (“ROI”) in a larger field-of-view (“FOV”), are provided. The higher quality data can include data representing higher spatial resolution, higher signal-to-noise ratio (“SNR”), increased diffusion encoding via repeated acquisition with a larger number of diffusion-encoding directions, and so on. A composite image can be generated that displays the higher quality images of the ROIs overlaid on the larger FOV.