A parallel tracking method for acoustic radiation force impulse imaging
Radiation force-based techniques have been developed by several groups for imaging the mechanical properties of tissue. Acoustic radiation force impulse (ARFI) imaging is one such method that uses commercially available scanners to generate localized radiation forces in tissue. The response of the tissue to the radiation force is determined using conventional B-mode imaging pulses to track micron-scale displacements in tissue. Current research in ARFI imaging is focused on producing real-time images of tissue displacements arid related mechanical properties. Obstacles to producing a real-time ARFl imaging modality include data acquisition, processing power, data transfer rates, heating of the transducer, and patient safety concerns. We propose a parallel receive beamforming technique to reduce transducer heating and patient acoustic exposure, and to facilitate data acquisition for real-time ARFI imaging. Custom beam sequencing was used with a commercially available scanner to track tissue displacements with parallel-receive beamforming in tissue-mimicking phantoms. Using simulations, the effects of material properties on parallel tracking are observed. Transducer and tissue heating for parallel tracking are compared to standard ARFI beam sequencing. The effects of tracking beam position and size of the tracked region are also discussed in relation to the size and temporal response of the region of applied force, and the impact on ARFI image contrast arid signal-to-noise ratio are quantified
Duke Scholars
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Related Subject Headings
- Ultrasonography
- Stress, Mechanical
- Sensitivity and Specificity
- Reproducibility of Results
- Phantoms, Imaging
- Movement
- Models, Biological
- Image Interpretation, Computer-Assisted
- Image Enhancement
- Humans
Citation
Published In
Publication Date
Volume
Issue
Start / End Page
Related Subject Headings
- Ultrasonography
- Stress, Mechanical
- Sensitivity and Specificity
- Reproducibility of Results
- Phantoms, Imaging
- Movement
- Models, Biological
- Image Interpretation, Computer-Assisted
- Image Enhancement
- Humans