MRI Apparatus Real-Time Image Update Interface
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Solution Overview
Problem
Current MRI systems are not user-friendly, requiring operators to manually manipulate settings which can be complex and time-consuming, especially when adjusting imaging parameters and viewing multiple slices.
Innovation Solution
An MRI apparatus with an image processor and display interface that generates real-time and scout images, allowing operators to easily select, adjust, and update slices, including displaying marked artifacts and safety alerts, to facilitate efficient imaging planning and execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual manipulation of MRI settings is used, then imaging parameters can be adjusted, but operator effort and time consumption increase
Solution Approach 1:
The system performs preliminary actions by automatically generating scout images and pre-processing imaging data before the operator needs to make decisions. The image processor automatically creates preliminary imaging results that can be reviewed and adjusted, eliminating the need for manual parameter manipulation and reducing both operator effort and time consumption.
Solution Approach 2:
The MRI apparatus performs self-service functions through automatic image processing and generation capabilities. The system automatically processes raw MRI signals into viewable images, generates scout images for planning, and updates imaging parameters based on detected artifacts, reducing the need for continuous manual intervention and thereby decreasing operator effort and time requirements.
2Adaptability or versatility
If multiple slices are displayed and adjusted manually, then comprehensive imaging coverage is achieved, but device complexity increases
Solution Approach 1:
The imaging system divides the overall imaging task into segmented slices that can be independently processed and displayed. Each slice can be individually adjusted and reviewed, allowing comprehensive imaging coverage to be achieved through manageable discrete units rather than attempting to manage all imaging parameters simultaneously, thereby reducing perceived system complexity.
Solution Approach 2:
The image processor serves multiple functions by automatically generating scout images, processing real-time imaging data, detecting artifacts, and updating imaging parameters across multiple slices. This multi-functionality consolidates what would otherwise require separate manual operations into a single automated system, achieving comprehensive imaging coverage without proportionally increasing device complexity.
3Manufacturing precision
If real-time image updates are performed frequently, then imaging quality is improved, but energy consumption increases
Solution Approach 1:
The system performs real-time image updates at optimized periodic intervals rather than continuously. The image processor updates images based on detected changes in imaging data or artifact conditions, performing frequent updates only when necessary to maintain imaging quality. This periodic action approach maintains high imaging quality while avoiding the excessive energy consumption that would result from continuous updates.
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
Enhances user interaction by simplifying the manipulation of MRI settings and visualization, reducing operator effort and improving imaging quality through intuitive real-time updates and clear displays.
Implementation Method 1
A magnetic resonance imaging (MRI) apparatus captures an image of an object by using a magnetic field
Data Source
AI summary
An MRI apparatus includes: an image processor that generates a real-time image and a scout image by using an MR signal that is received from an object; a display that displays slices, which respectively correspond to portions of the object, on the scout image; and an input interface that receives a user input corresponding to at least one of the real-time image and the scout image. The image processor updates the real-time image based on the user input, and the display displays the updated real-time image.