Common Offset Gathers for Efficient Multistatic Beamforming in Frequency Domain
Abstract
Frequency-domain beamformers reconstruct ultrasound images with far fewer operations than delay-and-sum (DAS). However, for multistatic synthetic aperture data, they require Fourier transforms over the full transmit-receive aperture and large amounts of memory, limiting their use for volumetric imaging. Here, we adapt common offset gathers (COG) from seismic imaging to frequency-domain beamforming: transmit-receive pairs with the same offset are beamformed independently using a bistatic formulation, holding only one offset gather in memory at a time. We combine COG with the range-Doppler algorithm (RDA) and evaluate COG RDA against DAS and conventional multistatic RDA using simulated, phantom, and in vivo acquisitions. For linear arrays, COG RDA reduced memory requirements by two orders of magnitude relative to conventional RDA and beamformed up to 25x faster than DAS, with comparable image quality. For a 32x32-element matrix array, COG RDA requires only 2-D instead of 4-D Fourier transforms, and reconstructed a volume on a GPU 32x faster and with 67x less energy than DAS. COG RDA makes frequency-domain multistatic beamforming practical for matrix arrays and power-constrained devices.
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BibTeX
@misc{jakovljevic2026common,
title = {{Common Offset Gathers for Efficient Multistatic Beamforming in Frequency Domain}},
author = {Marko Jakovljevic and Xiaohong Wang and Ion Candel and Anthony E. Samir and Kai Thomenius},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.39254},
eprint = {2610.39254},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.39254},
}
RIS
TY - UNPB
TI - Common Offset Gathers for Efficient Multistatic Beamforming in Frequency Domain
AU - Marko Jakovljevic
AU - Xiaohong Wang
AU - Ion Candel
AU - Anthony E. Samir
AU - Kai Thomenius
PY - 2026
DA - 2026/10/29
PB - arXiv
DO - 10.48550/arxiv.2610.39254
UR - https://arxiv.org/abs/2610.39254
AB - Frequency-domain beamformers reconstruct ultrasound images with far fewer operations than delay-and-sum (DAS). However, for multistatic synthetic aperture data, they require Fourier transforms over the full transmit-receive aperture and large amounts of memory, limiting their use for volumetric imaging. Here, we adapt common offset gathers (COG) from seismic imaging to frequency-domain beamforming: transmit-receive pairs with the same offset are beamformed independently using a bistatic formulation, holding only one offset gather in memory at a time. We combine COG with the range-Doppler algorithm (RDA) and evaluate COG RDA against DAS and conventional multistatic RDA using simulated, phantom, and in vivo acquisitions. For linear arrays, COG RDA reduced memory requirements by two orders of magnitude relative to conventional RDA and beamformed up to 25x faster than DAS, with comparable image quality. For a 32x32-element matrix array, COG RDA requires only 2-D instead of 4-D Fourier transforms, and reconstructed a volume on a GPU 32x faster and with 67x less energy than DAS. COG RDA makes frequency-domain multistatic beamforming practical for matrix arrays and power-constrained devices.
ER -