Plane wave imaging combined with eigenspace-based minimum variance beamforming using a ring array in ultrasound computed tomography View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Xinming Jiang, Yang Xiao, Yuanyuan Wang, Jinhua Yu, Hairong Zheng

ABSTRACT

BACKGROUND: Ultrasound computed tomography (USCT) is usually realized with a ring array. It can provide better imaging performance and more tissue information by emitting and receiving the ultrasound signal in different directions simultaneously. However, USCT imaging is usually applied with the synthetic aperture (SA) emission method, which leads to a long scanning time with a large number of elements on the ring array. The echo image can provide the structural information, and has a higher resolution than maps of other parameters in USCT. Hence, we proposed plane wave (PW) imaging for ring array to acquire the echo wave and reduce the scanning time considerably. RESULTS: In this paper, an emitting and receiving process was proposed to realize plane wave imaging with a ring array. With the proposed scanning method, the number of emission events can be reduced greatly. A beamforming method based on the eigenspace-based minimum variance (ESBMV) was also combined with the scanning method. With ESBMV beamformer, the resolution and contrast ratio of reconstruction result can be maintained or even improved under a fewer-emissions condition. We validated the method using both computer simulations with Field II and phantom experiments with a ring array of 512 elements. The VerasonicsĀ® system was used to transmit and receive the ultrasound signal in the phantom experiments. CONCLUSIONS: According to the results of the experiments, the imaging results will have a better contrast ratio with a higher emitting energy. Additionally, the scanning time with the proposed method can be only one-tenth of that with the SA emission method, while the echo imaging performance still remains at a similar level or even better. More... »

PAGES

7

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12938-019-0629-2

DOI

http://dx.doi.org/10.1186/s12938-019-0629-2

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https://app.dimensions.ai/details/publication/pub.1111593768

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30674326


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