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dc.contributor.authorNguyen, NQen
dc.contributor.authorPrager, Richarden
dc.date.accessioned2017-03-30T13:58:58Z
dc.date.available2017-03-30T13:58:58Z
dc.date.issued2017-03-13en
dc.identifier.issn1605-7422
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/263359
dc.description.abstractIn this paper we present and analyse a technique for applying minimum variance distortionless response (MVDR) beamforming to a coherent plane-wave compounding (CPWC) acquisition system. In the past, this has been done using a spatial smoothing approach that reduces the effective size of the receive aperture and degrades the image resolution. In this paper, we apply the MVDR algorithms in a novel way to the acquired data from the individual transducer elements, before any summation or other compounding. This enables us to propose a new approach for estimation of the covariance matrix that decorrelates the coherence among the components at all the different acquisition angles. This results in a new approach to receive beamforming for CPWC acquisition. The new beamformer is demonstrated on imaging data acquired with a research scanner. We find the new beamformer offers substantial improvements over the DAS method. It also significantly outperforms the previously published MVDR/CPWC beamformer on phantom studies where the signal from the main target is dominated by noise and interference. These improvements motivate further study in this new approach for enhancing image quality.
dc.language.isoenen
dc.publisherSPIE
dc.titleMinimum variance beamformers for coherent plane-wave compoundingen
dc.typeConference Object
prism.number1013912en
prism.publicationDate2017en
prism.publicationNameProc. SPIE 10139, Medical Imaging 2017: Ultrasonic Imaging and Tomographyen
dc.identifier.doi10.17863/CAM.8698
dcterms.dateAccepted2017-01-30en
rioxxterms.versionofrecord10.1117/12.2254293en
rioxxterms.versionVoRen
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2017-03-13en
dc.contributor.orcidPrager, Richard [0000-0002-7364-6561]
dc.identifier.eissn1996-756X
rioxxterms.typeConference Paper/Proceeding/Abstracten
pubs.conference-nameMedical Imaging 2017: Ultrasonic Imaging and Tomographyen
pubs.conference-start-date2017-02-11en


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