wewightman/pycbf: v1.1.0 - Object oriented class-based ultrasound beamformers with CPU and GPU acceleration
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| Natura: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866901581156319232 |
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| author | Wren Wightman |
| author_facet | Wren Wightman |
| contents | <p>An object oriented Python wrapped beamformer accelerated with raw C-code acceleration for CPU and CuPy wrapped CUDA acceleration for GPU.</p> <p>As per the README, this release contains two broad classes of beamformer: Tabbed and Synthetic beamformers. Tabbed beamformers take four precomputed values for each output beamforming pixel: delays for each transmit event, delays for each receive event, apodizations (really field pattern transmit masks) for each transmit event, and receive apodizations. The synthetic point approach generates a more light-weight beamforming object that approximates all transmits and receives as synthetic points.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18055071 |
| institution | Zenodo |
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| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | wewightman/pycbf: v1.1.0 - Object oriented class-based ultrasound beamformers with CPU and GPU acceleration Wren Wightman <p>An object oriented Python wrapped beamformer accelerated with raw C-code acceleration for CPU and CuPy wrapped CUDA acceleration for GPU.</p> <p>As per the README, this release contains two broad classes of beamformer: Tabbed and Synthetic beamformers. Tabbed beamformers take four precomputed values for each output beamforming pixel: delays for each transmit event, delays for each receive event, apodizations (really field pattern transmit masks) for each transmit event, and receive apodizations. The synthetic point approach generates a more light-weight beamforming object that approximates all transmits and receives as synthetic points.</p> |
| title | wewightman/pycbf: v1.1.0 - Object oriented class-based ultrasound beamformers with CPU and GPU acceleration |
| url | https://doi.org/10.5281/zenodo.18055071 |