Absolute-Scale MR Parameter Visualization for Tissue Segmentation
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Solution Overview
Problem
Current methods for visualizing MR images lack the ability to accurately distinguish between healthy and pathological tissues, as they rely on arbitrary scaling of T1- and T2-weighted images, which hinders the extraction of reliable diagnostic information.
Innovation Solution
Measuring MR parameters such as T1 relaxation, T2 relaxation, and Proton Density on an absolute scale, allowing for the creation of quantitative tissue plots that compare pixel/voxel values to reference clusters, enabling the identification of tissue types and estimation of pathology volume.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If arbitrary scaling of T1- and T2-weighted images is used for visualization, then the imaging process remains simple and fast, but the ability to accurately distinguish between healthy and pathological tissues is lost
Solution Approach 1:
The patent transforms MR image parameters from arbitrary scaled values to absolute quantified values by measuring T1 relaxation time, T2 relaxation time, and proton density on absolute scales. This parameter transformation enables accurate tissue differentiation while maintaining clinical utility through automated processing workflows
2Loss of information
If absolute-scale measurement of MR parameters is implemented, then reliable diagnostic information can be extracted, but the processing and visualization complexity increases
Solution Approach 1:
The patent introduces quantitative tissue plots as an intermediary visualization tool that maps absolute MR parameter values to intuitive 2D representations. These plots serve as a mediator between complex absolute-scale measurements and clinical interpretation, preserving diagnostic information while simplifying the visualization process for radiologists
Solution Approach 2:
The patent transforms 3D MR parameter space (T1, T2, PD) into 2D quantitative tissue plots by projecting parameter combinations onto 2D planes. This dimensional reduction maintains the essential diagnostic information while creating an intuitive visual representation that is easier to interpret clinically
3Reliability
If conventional MR image visualization methods are used, then the workflow remains straightforward, but pathological tissue identification is hindered
Solution Approach 1:
The patent enhances specific regions of interest within MR images by overlaying quantitative information from tissue plots onto anatomical locations. This local enhancement approach maintains the overall workflow simplicity while providing targeted reliability improvement for pathology identification in specific tissue regions
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 radiologists to visualize and quantify tissue types more accurately, aiding in diagnosis by distinguishing healthy from pathological tissues and providing a detailed pathology map, thereby enhancing diagnostic confidence.
Implementation Method 1
the patient is placed inside a strong magnetic field generated by a large magnet
Implementation Method 2
A particular slice of the patient is exposed to radio waves that create an oscillating magnetic field perpendicular to the main magnetic field
Implementation Method 3
The realignment of nuclear spins with the magnetic field is termed longitudinal relaxation and the time (typically about 1 sec) required for a certain percentage of the tissue nuclei to realign is termed 'Time 1' or T1
Implementation Method 4
T2-weighted imaging relies upon local dephasing of spins following the application of the transverse energy pulse; the transverse relaxation time (typically
Data Source
AI summary
A segmented MR image is provided by measuring a number of Magnetic Resonance Imaging parameters on an absolute scale. For example T1 relaxation, T2 relaxation and Proton Density PD can be measured on an absolute scale. The absolute values are then compared with known values for at least one type of tissue. For human tissue these parameters typically are in the order 300-4500 ms for T1, 50-1000 ms for T2 and 0-100% water for PD. Both T1 and T2 depend on the field strength. Based on a comparison between normal values for a particular type of tissue the values obtained for the image each pixel/voxel can be labeled with a certain probability that the voxel contains this type of tissue and segmented accordingly.