So you think you can DAS? A viewpoint on delay-and-sum beamforming
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Abstract (arXiv)
Delay-and-sum (DAS) is the most widespread digital beamformer in high-frame-rate ultrasound imaging. Its implementation is simple and compatible with real-time applications. In this viewpoint article, we describe the fundamentals of DAS beamforming. The underlying theory and numerical approach are detailed so that users can be aware of its functioning and limitations. In particular, we discuss the importance of the f-number and speed of sound on image quality, and propose one solution to set their values from a physical viewpoint. We suggest determining the f-number from the directivity of the transducer elements and the speed of sound from the phase dispersion of the delayed signals. Simplified Matlab codes are provided for the sake of clarity and openness. The effect of the f-number and speed of sound on the lateral resolution and contrast-to-noise ratio was investigated in vitro and in vivo. If not properly preset, these two factors had a substantial negative impact on standard metrics of image quality (namely CNR and FWHM). When beamforming with DAS in vitro or in vivo, it is recommended to optimize these parameters in order to use it wisely and prevent image degradation.
Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Jul 2020.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 0; 2024: 3; 2025: 6; 2026: 2.
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- 2025Speckle2Self: Self-Supervised Ultrasound Speckle Reduction Without Clean Datacited by 9
- 2025Digital twins enable full-reference quality assessment of photoacoustic image reconstructionscited by 4
- 2022Invisible-to-Visible: Privacy-Aware Human Segmentation using Airborne Ultrasound via Collaborative Learning Probabilistic U-Netcited by 1
- 2024Optimization of array encoding for ultrasound imagingcited by 1
- 2024Ultrasound Image Enhancement with the Variance of Diffusion Modelscited by 1
- 2026Deep Learning Strain Estimation: Is Physics-Based Simulation the Solution?cited by 1
- 2021Patch Based Transformation for Minimum Variance Beamformer Image Approximation Using Delay and Sum Pipelinecited by 0
- 2022Invisible-to-Visible: Privacy-Aware Human Instance Segmentation using Airborne Ultrasound via Collaborative Learning Variational Autoencodercited by 0
- 2024Compact Implicit Neural Representations for Plane Wave Imagescited by 0
- 2025Image-Based Metrics in Ultrasound for Estimation of Global Speed-of-Soundcited by 0
- 2025Uncertainty Estimation for Trust Attribution to Speed-of-Sound Reconstruction with Variational Networkscited by 0
- 2025Acoustic Imaging for UAV Detection: Dense Beamformed Energy Maps and U-Net SELDcited by 0
- 2026Null-Space Diffusion Restoration with Adaptive Uncertainty-Guided Fusion for Ultrasound Speckle Reduction30 Aug 2026
- 2026Deep Learning Strain Estimation: Is Physics-Based Simulation the Solution?27 May 2026
- 2025Ultrasound Tomography of Musculoskeletal Tissues with Generative Neural Physics17 Aug 2025
- 2025Acoustic Imaging for UAV Detection: Dense Beamformed Energy Maps and U-Net SELD1 Aug 2025
- 2025Speckle2Self: Self-Supervised Ultrasound Speckle Reduction Without Clean Data9 Jul 2025
- 2025Digital twins enable full-reference quality assessment of photoacoustic image reconstructions30 May 2025
- 2025Uncertainty Estimation for Trust Attribution to Speed-of-Sound Reconstruction with Variational Networks15 Apr 2025
- 2025Image-Based Metrics in Ultrasound for Estimation of Global Speed-of-Sound18 Mar 2025
- 2024Ultrasound Image Enhancement with the Variance of Diffusion Models17 Sep 2024
- 2024Compact Implicit Neural Representations for Plane Wave Images17 Sep 2024
- 2024Optimization of array encoding for ultrasound imaging1 Mar 2024
- 2022Invisible-to-Visible: Privacy-Aware Human Segmentation using Airborne Ultrasound via Collaborative Learning Probabilistic U-Net11 May 2022
- 2025Speckle2Self: Self-Supervised Ultrasound Speckle Reduction Without Clean Datacited by 9
- 2025Digital twins enable full-reference quality assessment of photoacoustic image reconstructionscited by 4
- 2022Invisible-to-Visible: Privacy-Aware Human Segmentation using Airborne Ultrasound via Collaborative Learning Probabilistic U-Netcited by 1
- 2024Optimization of array encoding for ultrasound imagingcited by 1
- 2026Deep Learning Strain Estimation: Is Physics-Based Simulation the Solution?cited by 1
- 2021Patch Based Transformation for Minimum Variance Beamformer Image Approximation Using Delay and Sum Pipelinecited by 0
- 2022Invisible-to-Visible: Privacy-Aware Human Instance Segmentation using Airborne Ultrasound via Collaborative Learning Variational Autoencodercited by 0
- 2024Compact Implicit Neural Representations for Plane Wave Imagescited by 0
- 2025Image-Based Metrics in Ultrasound for Estimation of Global Speed-of-Soundcited by 0
- 2025Uncertainty Estimation for Trust Attribution to Speed-of-Sound Reconstruction with Variational Networkscited by 0
- 2025Acoustic Imaging for UAV Detection: Dense Beamformed Energy Maps and U-Net SELDcited by 0
- 2025Ultrasound Tomography of Musculoskeletal Tissues with Generative Neural Physicscited by 0
12 most cited of 13 All 13 (JSON)
- 2026Null-Space Diffusion Restoration with Adaptive Uncertainty-Guided Fusion for Ultrasound Speckle Reduction30 Aug 2026
- 2026Deep Learning Strain Estimation: Is Physics-Based Simulation the Solution?27 May 2026
- 2025Ultrasound Tomography of Musculoskeletal Tissues with Generative Neural Physics17 Aug 2025
- 2025Acoustic Imaging for UAV Detection: Dense Beamformed Energy Maps and U-Net SELD1 Aug 2025
- 2025Speckle2Self: Self-Supervised Ultrasound Speckle Reduction Without Clean Data9 Jul 2025
- 2025Digital twins enable full-reference quality assessment of photoacoustic image reconstructions30 May 2025
- 2025Uncertainty Estimation for Trust Attribution to Speed-of-Sound Reconstruction with Variational Networks15 Apr 2025
- 2025Image-Based Metrics in Ultrasound for Estimation of Global Speed-of-Sound18 Mar 2025
- 2024Compact Implicit Neural Representations for Plane Wave Images17 Sep 2024
- 2024Optimization of array encoding for ultrasound imaging1 Mar 2024
- 2022Invisible-to-Visible: Privacy-Aware Human Segmentation using Airborne Ultrasound via Collaborative Learning Probabilistic U-Net11 May 2022
- 2022Invisible-to-Visible: Privacy-Aware Human Instance Segmentation using Airborne Ultrasound via Collaborative Learning Variational Autoencoder15 Apr 2022
12 newest of 13 All 13 (JSON)