Cristin-resultat-ID: 1896362
Sist endret: 23. mars 2021, 19:40
NVI-rapporteringsår: 2020
Resultat
Vitenskapelig artikkel
2020

Speckle Reduction Using Adaptive Receive-Side Compounding

Bidragsytere:
  • Are Charles Jensen og
  • Andreas Austeng

Tidsskrift

IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
ISSN 0885-3010
e-ISSN 1525-8955
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2020
Open Access

Importkilder

Scopus-ID: 2-s2.0-85099668329

Beskrivelse Beskrivelse

Tittel

Speckle Reduction Using Adaptive Receive-Side Compounding

Sammendrag

A typical approach to reduce speckle in coherent imaging systems, is to average same-target images with different speckle realizations. We study settings where such realizations come from applying different transducer-array element-weights at reception, referred to here as receive compounding. An effect of such compounding is reduced spatial resolution, causing smearing of point-like image structures, filling of cysts and expansion of hyperechoic regions. In this paper we study how these unwanted effects can be mitigated by combining the compounding with a small, phase-based, adaptive steering of the array at reception. The adaptivity is based on a criterion akin to that of the Capon beamformer; a minimum-output distortionless response. Here, the distortionless part ensures that however we steer, we have a uniform at-focus response. We have applied this adaptive steering in combination with several receive compounding techniques on simulated Field II, phantom and in vivo data. The results show that all the studied compounding techniques respond to this positively in light of the mentioned unwanted effects. The technique based on Thomson’s multitaper method even surpassed the non-compounded equivalent in reproducing the geometry of structures. The speckle reduction, as measured by the change in the pixel mean to standard deviation ratio, is indeed lower, and there are subtle changes in the spatial speckle patterns when applying steering; however, we believe that in most cases the negative effects are tolerable in light of the benefits gained. The suggested approach is intuitive and easily implemented.

Bidragsytere

Are Charles Jensen

  • Tilknyttet:
    Forfatter
    ved Digital signalbehandling og bildeanalyse ved Universitetet i Oslo
  • Tilknyttet:
    Forfatter
    ved Avdeling for bildeanalyse, maskinlæring og jordobservasjon BAMJO ved Norsk Regnesentral

Andreas Austeng

  • Tilknyttet:
    Forfatter
    ved ML Maskinlæring ved Universitetet i Oslo
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