MRI Hanging Protocol Adaptation via Acquisition Parameter Detection
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Solution Overview
Problem
Current MRI image acquisition protocols vary significantly between manufacturers and systems, leading to inefficiencies in reading and reviewing MRI data, as there is no standardized hanging protocol for MRI, which affects reading efficiency and throughput.
Innovation Solution
A system and method that analyzes MRI image data to identify the image acquisition protocol and displays MRI images in an optimized order and arrangement based on the protocol, allowing for the selection and generation of images to improve reading efficiency and adapt to different imaging parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If MRI images are displayed using manufacturer-specific acquisition protocols, then the images can be acquired with optimized parameters for each system, but the display order and arrangement vary across different systems reducing reading efficiency
Solution Approach 1:
The system changes the display parameters (hanging protocol) based on the detected acquisition protocol. By analyzing acquisition parameters such as TR, TE, and sequence type from the MRI data, the system automatically adjusts the display arrangement, image selection, and viewing protocol to match the characteristics of the acquired data, thereby maintaining adaptability across different manufacturers while standardizing the display for optimal reading efficiency
Solution Approach 2:
The system creates a standardized display template (hanging protocol) that can be copied and applied across different acquisition protocols. By detecting the acquisition protocol type and applying a corresponding standardized display template, the system ensures consistent and efficient image presentation regardless of the manufacturer or specific acquisition parameters used
2Productivity
If a standardized hanging protocol is implemented across all systems, then reading efficiency improves, but the ability to adapt to different acquisition protocols and parameters is reduced
Solution Approach 1:
The hanging protocol is made dynamic rather than static. The system automatically detects the acquisition protocol parameters (TR, TE, sequence type, contrast agent usage) and dynamically adjusts the display arrangement, image selection, and viewing protocol accordingly. This dynamic adaptation maintains standardized efficient display while accommodating variations in acquisition protocols across different manufacturers and clinical scenarios
3Loss of information
If multiple image series are displayed according to different protocols, then comprehensive coverage of all imaging data is achieved, but the time required to review and compare images increases
Solution Approach 1:
The system merges multiple image series into a unified, logically organized display layout. By detecting the acquisition protocol and understanding the relationships between different series (e.g., pre-contrast and post-contrast T1-weighted images, T2-weighted images), the system arranges them in an optimal viewing sequence that allows comprehensive review while minimizing the time required to navigate and compare images across different protocols
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
The system enhances reading efficiency and throughput by standardizing the display of MRI images across different systems and protocols, reducing the time required for clinical review and improving workflow.
Implementation Method 1
When utilizing these 'MR' signals to produce images, magnetic field gradients (Gx, Gy and Gz) are employed
Implementation Method 2
the individual magnetic moments of the excited nuclei in the tissue attempt to align with this polarizing field, but precess about it in random order at their characteristic Larmor frequency
Implementation Method 3
the individual magnetic moments of the excited nuclei in the tissue attempt to align with this polarizing field
Data Source
AI summary
A computer implemented method for processing MRI image data and displaying MRI images includes analyzing MRI image data to identify an image acquisition protocol used to acquire the MRI image data, and displaying a plurality of MRI images obtained from the MRI image data, wherein the MRI images are displayed in an order and/or arrangement based at least in part upon the identified image acquisition protocol.