Evidence map›Paper›PMID 39031397›Full record

ArticleTechnology and health care : official journal of the European Society for Engineering and Medicine2024

Far-focus compound ultrasound imaging with lag-one coherence-based zero-cross factor.

Chichao Zheng, Yi Tang, Yadan Wang, Yuanguo Wang, Hu Peng

Abstract read
In one paragraph

Article in Technology and health care : official journal of the European Society for Engineering and Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Chichao ZhengDepartment of Biomedical Engineering, Hefei University of Technology, Hefei, China.
Yi TangDepartment of Biomedical Engineering, Hefei University of Technology, Hefei, China.
Yadan WangBiomedical Engineering, Anhui Medical University, Hefei, China.
Yuanguo WangDepartment of Biomedical Engineering, Hefei University of Technology, Hefei, China.
Hu PengDepartment of Biomedical Engineering, Hefei University of Technology, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUltrasound imaging has been widely used in clinical examination because of portability, safety, and low cost. However, there are still some main challenges of imaging quality that remain in conventional ultrasound systems.

objectiveImproving image quality of SA-based methods using an improved imaging mode named far-focus compound (FSC) imaging.

methodsA far-focus compound (FSC) imaging based on full-aperture transmission and full-aperture reception is proposed in this paper. In transmission, it uses the full aperture to transmit the focused beam to ensure image resolution and emission of sound field energy. In reception, the full aperture is used to receive the reflected beam to ensure the image quality. A lag-one coherence-based zero-cross factor (LOCZF) is then implemented in FSC for improvement of contrast ratio (CR). The LOCZF uses lag-one coherence as zero-cross factorâs adaptive coefficient. Comparisons were made with several other weighting techniques by performing simulations and experiments for performance evaluation.

resultsResults confirm that LOCZF applied to FSC offers a good image contrast and simultaneously the speckle pattern. For simulated cysts, CR improvement of LOCZF reaches 194.1%. For experimental cysts, CR improvement of LOCZF reaches 220%. From the in-vivo result, compared with FSC, CR improvement of LOCZF reaches 112.7%.

conclusionProved gCNR performance. In addition, the LOCZF method shows good performance in experiments. The proposed method can be used as an effective weighting technique for improvement of image quality in ultrasound imaging.

Indexed as

UltrasonographyAlgorithmsHumansImage Processing, Computer-AssistedPhantoms, Imagingfar-focus compound imaginglag-one coherence-based zero-cross factorreversal-squart zero-cross factorUltrasonic imaging

Identifiers

PMID39031397
PMCPMC11612989

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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.