Quantitative MRI Lesion Evolution Mapping from a Single Sequence
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Solution Overview
Problem
Existing MRI techniques struggle to accurately quantify and visualize lesion evolution, making it difficult to assess tissue damage severity and compare lesion statuses across patients or over time.
Innovation Solution
A method and system using quantitative MRI (qMRI) to acquire a single MR sequence, generate a lesion evolution model with predetermined sets of quantitative values, and determine lesion evolution values based on voxel comparisons, enabling visualization and monitoring of lesion progression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional MRI techniques are used to detect lesions, then lesion detection is possible, but accurate quantification of lesion evolution and visualization of tissue damage severity is not achieved
Solution Approach 1:
The patent transforms conventional qualitative MRI images into quantitative parameters by measuring physical properties (T1 relaxation time, T2 relaxation time, proton density) of tissue voxels. These physical parameters serve as objective indicators of tissue damage severity and lesion evolution, enabling precise quantification that conventional imaging cannot achieve.
Solution Approach 2:
The patent replaces the mechanical/visual assessment system with a quantitative measurement system. Instead of relying on visual interpretation of grey-scale images, the system uses automated measurement of physical parameters (relaxation times, proton density) to objectively quantify tissue properties and track lesion evolution over time.
2Measurement precision
If multiple MR sequences are acquired to obtain quantitative information, then measurement precision improves, but scanning time and complexity increase
Solution Approach 1:
The patent designs a single MR sequence that simultaneously acquires multiple quantitative parameters (T1, T2, and proton density) from the same data. This multi-functional sequence eliminates the need for separate acquisition protocols for each parameter, reducing total scanning time while maintaining comprehensive quantitative information.
Solution Approach 2:
The patent combines multiple measurement objectives into a single MR sequence acquisition. By merging the acquisition of T1, T2, and proton density information into one sequence, the system reduces the number of separate scanning operations required, thereby decreasing overall scanning time and complexity.
3Loss of information
If grey scale MR images are used to assess tissue damage, then visualization is possible, but detailed information about lesion evolution and severity is insufficient
Solution Approach 1:
The patent replaces the visual interpretation system with a quantitative measurement system. Instead of relying on subjective visual assessment of grey-scale images, the system automatically measures physical parameters (T1, T2 relaxation times, proton density) to objectively quantify tissue damage severity and track evolution, reducing the complexity of manual analysis.
Solution Approach 2:
The patent introduces quantitative parameters (T1, T2, proton density values) as intermediaries between the raw MRI data and the clinical assessment. These physical parameters serve as objective mediators that translate complex image data into measurable tissue properties, simplifying the assessment process while providing detailed information about lesion evolution.
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
Facilitates fast and reliable quantification and visualization of lesion evolution, allowing for effective treatment evaluation and comparison across patients, with enhanced monitoring capabilities.
Implementation Method 1
The MRI techniques are generally based on relaxation properties of excited hydrogen nuclei (protons) of an object under test. When the object to be imaged is placed in a powerful, uniform magnetic field of the MRI scanner, the spins of the atomic nuclei of water in the object with non-integer spin numbers within the object all align either parallel or anti-parallel to the magnetic field.
Implementation Method 2
the magnetization vector slowly relaxes towards its equilibrium orientation that is parallel to the magnetic field by a time constant called longitudinal relaxation time (T1). A longitudinal relaxation rate R1 is the reciprocal of the longitudinal relaxation time T1 (R1=1/T1).
Implementation Method 3
The loss of coherence of the spin system attenuates the MRI signal with a time constant called a transverse relaxation time (T2).
Data Source
AI summary
A method of quantifying lesion evolution, comprising: acquiring, at a first time point, by a magnetic resonance, MR, scanning device, a single MR sequence of a portion of a body, the single MR sequence comprising quantitative information of the portion; generating, by a processing circuit, a first MR image representing the portion, based on the single MR sequence, wherein each voxel of the first MR image represents a corresponding volume of the portion; providing a lesion evolution model comprising at least two predetermined sets of quantitative values, wherein each of the at least two predetermined sets of quantitative values is associated with a reference lesion evolution value indicating a status of lesion evolution; for a voxel of a region of interest of the first MR image, determining, by the processing circuit, a lesion evolution value of said voxel, indicating a status of lesion evolution at the first time point.