High dynamic range ultrasound imaging with real-time filtered-delay multiply and sum beamforming
| Autor: | Gabriel Emile Hine, Enrico Boni, Monica Scaringella, Luca Bassi, Alessandro Ramalli, Alessandro Stuart Savoia, Alessandro Dallai, Piero Tortoli, Giulia Matrone |
|---|---|
| Přispěvatelé: | Ramalli, A., Scaringella, M., Matrone, G., Dallai, A., Boni, E., Savoia, A.S., Bassi, L., Hine, G.E., Tortoli, P., Ramalli, Alessandro, Scaringella, Monica, Matrone, Giulia, Dallai, Alessandro, Boni, Enrico, Savoia, Alessandro Stuart, Bassi, Luca, Hine, Gabriel Emile, Tortoli, Piero |
| Rok vydání: | 2017 |
| Předmět: |
Beamforming
Acoustics and Ultrasonics Computational complexity theory business.industry Image quality Dynamic range 01 natural sciences Imaging phantom 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Square root 0103 physical sciences Filtered Delay Multiply and Sum Telecommunications business Real-time 010301 acoustics Image resolution Algorithm High dynamic range |
| Zdroj: | 2017 IEEE International Ultrasonics Symposium (IUS). |
| DOI: | 10.1109/ultsym.2017.8092339 |
| Popis: | Most commercially available ultrasound imaging systems currently implement the delay and sum (DAS) beamforming. Alternative beamformers have been presented, offering higher performance at the expense of computational complexity, which has so far limited their practical real-time implementation. In particular, the Filtered-Delay Multiply and Sum (F-DMAS) beamformer, which adds the computation of signed square roots, absolute values and multiplications to DAS, was recently shown to be effective in improving resolution, dynamic range and overall image quality. In this work, we present the real-time implementation of the F-DMAS beamformer on the ULA-OP 256 research system. This is obtained through a reformulation of the F-DMAS algorithm that allows reducing its computational cost. Compared to DAS, F-DMAS images of a commercial phantom captured in real-time showed higher CR (up to +7 dB), better spatial resolution (up to 30%), but lower CNR (-40%). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|