Evidence map›Paper›PMID 40299172›Full record

ArticleMedical & biological engineering & computing2025

Null subtraction imaging combined with modified delay multiply-and-sum beamforming for coherent plane-wave compounding.

Yijun Xu, Yaoting Yue, Hao Wang, Wenting Gu, Boyi Li, Yaqing Chen, Xin Liu

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Article in Medical & biological engineering & computing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yijun XuAcademy for Engineering and Technology, Fudan University, Shanghai, 200433, China.
Yaoting YueSchool of Communication and Information Engineering, Shanghai University, Shanghai, 200444, China.
Hao WangAcademy for Engineering and Technology, Fudan University, Shanghai, 200433, China.
Wenting GuAcademy for Engineering and Technology, Fudan University, Shanghai, 200433, China.
Boyi LiAcademy for Engineering and Technology, Fudan University, Shanghai, 200433, China.
Yaqing ChenDepartment of Ultrasound in Medicine, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China. chenyaqing@xinhuamed.com.cn.
Xin LiuAcademy for Engineering and Technology, Fudan University, Shanghai, 200433, China. xin_liu@fudan.edu.cn.ORCID http://orcid.org/0000-0002-4783-9810

Funding

AI for Science Foundation of Fudan University FudanX24AI016International Science and Technology Cooperation Program of Shanghai 24490710400National Key Research and Development Program of China 2023YFC2410903National Natural Science Foundation of China 12274092National Natural Science Foundation of China 82127803
6 · The paper itself

Abstract

Coherent plane-wave compounding, while efficient for ultrafast ultrasound imaging, yields lower image quality due to unfocused waves. Delay multiply-and-sum (DMAS) beamformer is one of the representative coherence-based methods which can improve images quality, but suffers from poor speckle quality brought by oversuppression. Current DMAS-based methods involve trade-offs between contrast, resolution, and speckle preservation. To overcome this limitation, a new beamformer method combining the null subtraction imaging (NSI) and DMAS is investigated. The proposed method explores the DMAS on different beamformers which employs NSI and delay and sum (DAS) at receive and do multiply-and-sum on different beamformers across transmitting dimension, thereby simultaneously possessing the speckle quality of DAS and the high resolution of NSI. The effectiveness of the proposed method is evaluated through simulation, phantom, and in vivo datasets. From the experimental study, in comparison with NSI, the proposed method has improved contrast ratio by 10.02%, speckle signal-to-noise ratio by 45.19%, and generalized contrast-to-noise ratio by 12.37%. The method has also improved the full width at half maximum by up to 0.24 mm. The results indicate that the proposed method achieves better resolution and contrast, while also alleviating the issue of excessive compression.

Indexed as

Image Processing, Computer-AssistedSubtraction TechniqueAlgorithmsComputer SimulationHumansPhantoms, ImagingSignal-To-Noise RatioUltrasonographyAdaptive beamformingCoherent plane-wave compoundingDelay-multiply-and-sum beamformerNull subtraction imagingUltrasound imaging

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.