Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박수현 | * |
dc.date.accessioned | 2023-07-27T16:31:06Z | - |
dc.date.available | 2023-07-27T16:31:06Z | - |
dc.date.issued | 2023 | * |
dc.identifier.issn | 0041-624X | * |
dc.identifier.other | OAK-33788 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/265125 | - |
dc.description.abstract | B-mode images undergo degradation in the boundary region because of the limited number of elements in the ultrasound probe. Herein, a deep learning-based extended aperture image reconstruction method is proposed to reconstruct a B-mode image with an enhanced boundary region. The proposed network can reconstruct an image using pre-beamformed raw data received from the half-aperture of the probe. To generate a high-quality training target without degradation in the boundary region, the target data were acquired using the full-aperture. Training data were acquired from an experimental study using a tissue-mimicking phantom, vascular phantom, and simulation of random point scatterers. Compared with plane-wave images from delay and sum beamforming, the proposed extended aperture image reconstruction method achieves improvement at the boundary region in terms of the multi-scale structure of similarity and peak signal-to-noise ratio by 8% and 4.10 dB in resolution evaluation phantom, 7% and 3.15 dB in contrast speckle phantom, and 5% and 3 dB in in vivo study of carotid artery imaging. The findings in this study prove the feasibility of a deep learning-based extended aperture image reconstruction method for boundary region improvement. © 2023 Elsevier B.V. | * |
dc.language | English | * |
dc.publisher | Elsevier B.V. | * |
dc.subject | Deep learning | * |
dc.subject | Extended aperture | * |
dc.subject | Plane-wave imaging | * |
dc.subject | Signal recovery | * |
dc.title | Extended aperture image reconstruction for plane-wave imaging | * |
dc.type | Article | * |
dc.relation.volume | 134 | * |
dc.relation.index | SCIE | * |
dc.relation.index | SCOPUS | * |
dc.relation.journaltitle | Ultrasonics | * |
dc.identifier.doi | 10.1016/j.ultras.2023.107096 | * |
dc.identifier.wosid | WOS:001029918300001 | * |
dc.identifier.scopusid | 2-s2.0-85163868783 | * |
dc.author.google | Nguon L.S. | * |
dc.author.google | Park S. | * |
dc.contributor.scopusid | 박수현(7501832729) | * |
dc.date.modifydate | 20240322130354 | * |