18273127. APPARATUS AND METHOD FOR AUGMENTED INTERPRETATION OF MAGNETIC RESONANCE AND ULTRASOUND SHEAR WAVE ELASTOGRAPHY FOR MONITORING LIVER FIBROSIS simplified abstract (KONINKLIJKE PHILIPS N.V.)
Contents
- 1 APPARATUS AND METHOD FOR AUGMENTED INTERPRETATION OF MAGNETIC RESONANCE AND ULTRASOUND SHEAR WAVE ELASTOGRAPHY FOR MONITORING LIVER FIBROSIS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 APPARATUS AND METHOD FOR AUGMENTED INTERPRETATION OF MAGNETIC RESONANCE AND ULTRASOUND SHEAR WAVE ELASTOGRAPHY FOR MONITORING LIVER FIBROSIS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
APPARATUS AND METHOD FOR AUGMENTED INTERPRETATION OF MAGNETIC RESONANCE AND ULTRASOUND SHEAR WAVE ELASTOGRAPHY FOR MONITORING LIVER FIBROSIS
Organization Name
Inventor(s)
Seyedali Sadeghi of Melrose MA (US)
Claudia Errico of Medford MA (US)
Jochen Kruecker of Andover MA (US)
APPARATUS AND METHOD FOR AUGMENTED INTERPRETATION OF MAGNETIC RESONANCE AND ULTRASOUND SHEAR WAVE ELASTOGRAPHY FOR MONITORING LIVER FIBROSIS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18273127 titled 'APPARATUS AND METHOD FOR AUGMENTED INTERPRETATION OF MAGNETIC RESONANCE AND ULTRASOUND SHEAR WAVE ELASTOGRAPHY FOR MONITORING LIVER FIBROSIS
Simplified Explanation
The patent application describes a method and system for augmented interpretation of shear wave elastography between first and second imaging modalities. This involves predicting first imaging modality elastography values based on second imaging modality elastography values to determine fibrosis levels in a region of interest.
- Shear wave elastography is performed using a second imaging modality to obtain elastography values of a region of interest.
- Predictions of corresponding first imaging modality elastography values are made based on the obtained second imaging modality elastography values.
- A graphical user interface or smart report dashboard is generated to display the fibrosis level of the region of interest, calculated using the obtained and predicted elastography values.
Potential Applications
This technology can be applied in medical imaging for more accurate assessment of tissue fibrosis levels, particularly in liver disease diagnosis and monitoring.
Problems Solved
This innovation helps in improving the accuracy of elastography measurements by predicting values from different imaging modalities, providing a more comprehensive understanding of tissue characteristics.
Benefits
- Enhanced accuracy in determining fibrosis levels in tissues - Better monitoring and diagnosis of liver diseases - Improved visualization of elastography data for medical professionals
Potential Commercial Applications
This technology can be utilized in medical imaging devices and software for liver disease diagnosis, monitoring, and treatment planning.
Possible Prior Art
Prior art may include similar methods for predicting elastography values between different imaging modalities, but the specific approach described in this patent application may be novel.
Unanswered Questions
How does this technology compare to traditional elastography methods in terms of accuracy and reliability?
This technology aims to improve accuracy by predicting elastography values from different imaging modalities. However, it is essential to compare its performance with traditional elastography methods to assess its effectiveness.
What are the potential limitations or challenges in implementing this technology in clinical practice?
While the technology shows promise in enhancing elastography interpretation, there may be challenges in integrating it into existing medical imaging systems and workflows. Understanding these limitations is crucial for successful adoption in clinical practice.
Original Abstract Submitted
A method and system () for augmented interpretation of shear wave elastography between first and second imaging modalities comprises performing an elastography measurement via a second imaging modality (), different from a first imaging modality (), to obtain at least one second imaging modality elastography value () of a region of interest (). At least one corresponding first imaging modality elastography value () is predicted based on the obtained second imaging modality elastography value. A graphical user interface or smart report dashboard () is generated that shows (i) a fibrosis level () of the region of interest, wherein the fibrosis level is determined as a function of (i)(a) the at least one second imaging modality elastography value () and/or (i)(b) the predicted at least one corresponding first imaging modality elastography value ().
