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Ultrasonic tracking of shear waves using a particle filter
Atul N Ingle1, Chi Ma2, Tomy Varghese3
1Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53705 and Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin 53705.
Medical Physics
|November 2, 2015
Summary
Particle filtering effectively estimates shear wave velocity (SWV) from noisy ultrasound elastography data. This method improves accuracy and image quality for identifying tissue stiffness, aiding in potential pathology detection.
Area of Science:
- Medical imaging
- Biomedical engineering
- Signal processing
Background:
- Ultrasound elastography estimates tissue stiffness by measuring shear wave velocity (SWV).
- Accurate SWV estimation is crucial for differentiating healthy from pathological tissues.
- Existing methods often struggle with noisy ultrasound data, limiting diagnostic accuracy.
Purpose of the Study:
- To apply particle filtering for enhanced shear wave velocity estimation in ultrasound elastography.
- To improve the accuracy and reliability of SWV measurements from noisy data.
- To assess the clinical utility of particle filtering for tissue characterization.
Main Methods:
- Utilized radio-frequency ultrasound echo signals to track axial displacements.
- Employed a hidden Markov model for denoising time-to-peak displacement data.
- Applied particle filtering to smooth time-to-peak curves for minimum mean squared error fitting.
Main Results:
- Particle filtering demonstrated lower mean squared reconstruction error and variance compared to standard methods.
- SWV estimates in stiff phantom regions were within 20% of commercial ultrasound scanner results.
- Area estimates from particle-filtered SWV maps agreed within 10% with B-mode ultrasound images.
Conclusions:
- Particle filtering offers a robust method for shear wave velocity reconstruction.
- The technique enhances image quality and delineates tissue areas effectively.
- Particle filtering shows comparable performance to existing techniques for ultrasound elastography.
