3D SinMod Cardiac Deformation Analysis via Sine Wave Modeling
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Solution Overview
Problem
Current methods for analyzing cardiac deformations and regional function, such as MRI, face limitations in real-time capability, cost, and resolution, and existing techniques like ultrasound and X-ray CT have lower accuracy and are invasive, making them inadequate for comprehensive cardiovascular disease assessment.
Innovation Solution
A method and system utilizing 3D complementary spatial modulation of magnetization (CSPAMM) tagging technique in MRI to acquire three tagged volume data series with mutually perpendicular tag lines, processed by an image processing machine to model intensity distribution as a moving sine wave front, determining phase, frequency, and displacement of voxels, enabling accurate 3D deformation analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If MRI is used to provide 3D analysis of cardiac function, then measurement precision is improved, but productivity deteriorates due to non-real-time capability
Solution Approach 1:
The patent applies preliminary action by performing Fourier transformation and band-pass filtering on the tagged MRI data to pre-calculate displacement fields and strain measurements. This preprocessing approach enables rapid analysis of cardiac deformations without requiring real-time data acquisition, thus resolving the contradiction between high measurement precision and productivity limitations of traditional MRI.
2Measurement precision
If MRI is used for cardiac imaging, then measurement precision is improved, but loss of energy worsens due to high cost
Solution Approach 1:
The patent extracts only the essential information needed for cardiac deformation analysis from the full MRI dataset by applying targeted band-pass filters to isolate specific frequency components. This extraction approach reduces the computational burden and energy consumption while maintaining high measurement precision, effectively addressing the cost issue associated with comprehensive MRI analysis.
3Productivity
If ultrasound or X-ray CT is used instead of MRI, then productivity is improved through faster imaging, but measurement precision deteriorates with lower resolution
Solution Approach 1:
The patent utilizes the vibrational properties of cardiac motion by applying Fourier transformation to decompose the complex cardiac deformation into frequency components. This allows the system to capture high-resolution spatial information at multiple temporal phases, achieving both fast imaging capability and high measurement precision that neither ultrasound nor X-ray CT can provide alone.
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 provides precise, non-invasive 3D analysis of cardiac deformations and regional function, overcoming the limitations of existing technologies by offering high spatial and temporal resolution, and enabling effective monitoring of cardiovascular diseases.
Implementation Method 1
Magnetic Resonance Imaging (MRI) is a noninvasive imaging technique with the capability to monitor and assess the progression of CVD
Implementation Method 2
each of the three tagged volume data series is acquired, by a magnetic resonance imaging (MRI) scanner, using a 3D complementary spatial modulation of magnetization (CSPAMM) tagging technique
Implementation Method 3
modeling, using the image processing machine, an intensity distribution around each voxel of each tagged volume data series as a moving sine wave front with a local frequency and an amplitude
Implementation Method 4
determining, using the image processing machine, a phase and frequency for each voxel from the local frequency and amplitude and a displacement from a quotient of a phase difference and the local frequency
Data Source
AI summary
A system and method for analysis of 3D deformations and regional function of a heart includes: a magnetic resonance imaging (MRI) scanner configured to acquire three tagged volume data series with mutually perpendicular tag lines of a heart; a data storage device in communication with the MRI scanner and configured to store the three tagged volume data series; and an image processing machine in communication with data storage device. The image processing machine is configured to: model an intensity distribution around each voxel of each tagged volume data series as a moving sine wave front with a local frequency and an amplitude; and determine a phase and frequency for each voxel from the local frequency and amplitude and a displacement from a quotient of a phase difference and the local frequency.