MRI Bone Imaging via Multi-Echo Gradient Echo Reconstruction
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Solution Overview
Problem
Magnetic Resonance Imaging (MRI) struggles to image bone tissue effectively, particularly in detecting fractures, due to long imaging times and difficulty in obtaining quality images in a clinical setting compared to Computed Tomography (CT) scans.
Innovation Solution
The method involves acquiring multiple in-phase groups of multi-echo gradient echo k-space data at distinct echo times, reconstructing preliminary MRI images, averaging them to create a temporary image, and then subtracting an average image to produce an intermediate MRI image that resembles a CT image, allowing for better visualization of bone structures and fractures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional MRI techniques are used to image bone tissue, then imaging time is reduced and soft tissue visualization is improved, but bone tissue detail and fracture detection capability deteriorate
Solution Approach 1:
The patent applies parameter changes by modifying the MRI pulse sequence parameters, specifically using ultrashort echo times (UTE) and variable flip angle sequences. These parameter changes allow the MRI system to capture bone tissue signal before it decays, enabling bone imaging with conventional MRI techniques while maintaining both speed and detail quality
2Measurement precision
If ultrashort echo time (UTE) MRI sequences are used to image bone tissue, then bone tissue detail is improved, but imaging time increases and operational complexity increases
Solution Approach 1:
The patent employs periodic action through multiple rapid successive MRI pulse sequences with varying flip angles and echo times. By acquiring multiple datasets in quick succession and combining them through post-processing, the system achieves detailed bone imaging without requiring prolonged scanning, thus reducing overall imaging time while maintaining precision
3Measurement precision
If ultrashort echo time (UTE) MRI sequences are used to image bone tissue, then bone tissue detail is improved, but ease of operation deteriorates
Solution Approach 1:
The patent applies preliminary action by performing automated post-processing operations on the acquired MRI data. The system automatically combines multiple datasets with different flip angles using predetermined algorithms, which simplifies the operator's task and makes obtaining quality bone images more straightforward, thereby improving ease of operation
4Object-affected harmful factors
If MRI is used instead of CT for bone imaging, then ionizing radiation exposure is reduced, but fracture detection capability deteriorates
Solution Approach 1:
The patent applies copying by creating synthetic CT-like images from MRI data through specialized post-processing algorithms. These algorithms process the UTE MRI datasets to generate images that replicate the appearance and diagnostic characteristics of CT scans, enabling fracture detection with MRI while avoiding ionizing radiation
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 effective imaging of bone tissue using conventional MRI techniques, allowing for the use of standard CT image processing algorithms on MRI data, thereby overcoming the limitations of traditional MRI in bone imaging.
Implementation Method 1
Magnetic Resonance Imaging (MRI) works particularly well in imaging soft tissues
Implementation Method 2
acquiring a group of gradient echo images at a repetition time
Implementation Method 3
Each of these echo times is a multiple of the interval of when the water and fat are in phase. The phase of the MR signal from water and fat is different.
Data Source
AI summary
Disclosed herein is a medical system (100, 500). The execution of the machine executable instructions (120) causes a computational system (104) to: receive (200) multi-echo gradient echo k-space data (122) comprising multiple in-phase groups (124) of k-space data acquired at echo times that are multiples of an interval when water and fat are in phase; reconstruct (204) a preliminary magnetic resonance image (128) for each of the group of k-space data; construct (206) an averaged magnetic resonance image (130) from the preliminary magnetic resonance images; construct (208) a temporary magnetic resonance image (132) from the preliminary magnetic resonance image with the longest echo time; construct (210) an intermediate magnetic resonance image (134) by subtracting the average magnetic resonance image from the temporary magnetic resonance image; construct (216) a subject mask from a reference scan magnetic resonance image (136); construct (218) a clinical magnetic resonance image (144) by setting pixels of the intermediate magnetic resonance image that are outside of the subject mask to a predetermined background value.