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Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy
Published on: April 9, 2019
3D prostate elastography: algorithm, simulations and experiments
A V Patil1, C D Garson, J A Hossack
1Biomedical Engineering, University of Virginia, Charlottesville, VA 22903, USA. avp2b@virginia.edu
Physics in Medicine and Biology
|August 1, 2007
Summary
A new hybrid strain estimator improves ultrasound elastography by refining displacement estimation, enhancing image quality and lesion characterization. This advanced method offers better contrast-to-noise ratio and shape-based lesion identification.
Area of Science:
- Medical Imaging
- Biomedical Engineering
- Ultrasound Technology
Background:
- Ultrasound elastography estimates tissue stiffness to detect lesions.
- Conventional strain estimators face limitations in accuracy and resolution.
- Refining displacement estimation is crucial for improved elastographic performance.
Purpose of the Study:
- To present a novel multi-resolution hybrid strain estimator for ultrasound elastography.
- To enhance the accuracy of axial and lateral displacement estimation.
- To improve the contrast-to-noise ratio and resolution of elastographic images.
Main Methods:
- A hybrid strain estimator initialized by B-mode tracking.
- Successive RF tracking stages with nonlinear and linear stretching.
- A staggering operator for deriving strain images from axial displacements.
- Simulations and experiments using a 128-element transducer at 12 MHz.
Main Results:
- Demonstrated 3-6 dB improvement in elastographic contrast-to-noise ratio.
- Achieved 6-8% improvement in average image cross-correlation coefficient.
- 3D simulations predict axial and lateral resolutions of approximately 5 and 10 wavelengths.
- Experimental results showed close correspondence between reconstructed and actual 3D inclusion shapes.
Conclusions:
- The proposed multi-resolution hybrid strain estimator significantly enhances elastographic performance.
- The method improves lesion visualization and characterization based on shape.
- 3D elastography shows potential for identifying and classifying lesions invisible in conventional sonograms.
