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Ultrasound breast imaging using frequency domain reverse time migration
- Source :
- SPIE Proceedings.
- Publication Year :
- 2016
- Publisher :
- SPIE, 2016.
-
Abstract
- Conventional ultrasonography reconstruction techniques, such as B-mode, are based on a simple wave propagation model derived from a high frequency approximation. Therefore, to minimize model mismatch, the central frequency of the input pulse is typically chosen between 3 and 15 megahertz. Despite the increase in theoretical resolution, operating at higher frequencies comes at the cost of lower signal-to-noise ratio. This ultimately degrades the image contrast and overall quality at higher imaging depths. To address this issue, we investigate a reflection imaging technique, known as reverse time migration, which uses a more accurate propagation model for reconstruction. We present preliminary simulation results as well as physical phantom image reconstructions obtained using data acquired with a breast imaging ultrasound tomography prototype. The original reconstructions are filtered to remove low-wavenumber artifacts that arise due to the inclusion of the direct arrivals. We demonstrate the advantage of using an accurate sound speed model in the reverse time migration process. We also explain how the increase in computational complexity can be mitigated using a frequency domain approach and a parallel computing platform.
- Subjects :
- Computer science
Wave propagation
Breast imaging
Pulse (signal processing)
business.industry
Acoustics
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Seismic migration
01 natural sciences
Imaging phantom
030218 nuclear medicine & medical imaging
Ultrasound Tomography
010309 optics
03 medical and health sciences
0302 clinical medicine
Signal-to-noise ratio
Optics
Frequency domain
Speed of sound
0103 physical sciences
Center frequency
business
Image restoration
Subjects
Details
- ISSN :
- 0277786X
- Database :
- OpenAIRE
- Journal :
- SPIE Proceedings
- Accession number :
- edsair.doi...........edc30d4f095312e3035db0a7afa17013
- Full Text :
- https://doi.org/10.1117/12.2218366