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Attenuation Coefficient Estimation of Normal Placentas.
Deeba, Farah; Ma, Manyou; Pesteie, Mehran; Terry, Jefferson; Pugash, Denise; Hutcheon, Jennifer A; Mayer, Chantal; Salcudean, Septimiu; Rohling, Robert.
Afiliação
  • Deeba F; Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, British Columbia, Canada. Electronic address: farahdeeba@ece.ubc.ca.
  • Ma M; Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, British Columbia, Canada.
  • Pesteie M; Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, British Columbia, Canada.
  • Terry J; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
  • Pugash D; Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.
  • Hutcheon JA; Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver, British Columbia, Canada.
  • Mayer C; Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver, British Columbia, Canada.
  • Salcudean S; Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, British Columbia, Canada.
  • Rohling R; Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, British Columbia, Canada; Department of Mechanical Engineering, University of British Columbia, Vancouver, British Columbia, Canada.
Ultrasound Med Biol ; 45(5): 1081-1093, 2019 05.
Article em En | MEDLINE | ID: mdl-30685076
ABSTRACT
Attenuation coefficient estimation has the potential to be a useful tool for placental tissue characterization. A current challenge is the presence of inhomogeneities in biological tissue that result in a large variance in the attenuation coefficient estimate (ACE), restricting its clinical utility. In this work, we propose a new Attenuation Estimation Region Of Interest (AEROI) selection method for computing the ACE based on the (i) envelope signal-to-noise ratio deviation and (ii) coefficient of variation of the transmit pulse bandwidth. The method was first validated on a tissue-mimicking phantom, for which an 18%-21% reduction in the standard deviation of ACE and a 14%-24% reduction in the ACE error, expressed as a percentage of reported ACE, were obtained. A study on 59 post-delivery clinically normal placentas was then performed. The proposed AEROI selection method reduced the intra-subject standard deviation of ACE from 0.72 to 0.39 dB/cm/MHz. The measured ACE of 59 placentas was 0.77 ± 0.37 dB/cm/MHz, which establishes a baseline for future studies on placental tissue characterization.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Placenta / Processamento de Sinais Assistido por Computador / Ultrassonografia Tipo de estudo: Diagnostic_studies Limite: Adult / Female / Humans / Middle aged / Pregnancy Idioma: En Revista: Ultrasound Med Biol Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Placenta / Processamento de Sinais Assistido por Computador / Ultrassonografia Tipo de estudo: Diagnostic_studies Limite: Adult / Female / Humans / Middle aged / Pregnancy Idioma: En Revista: Ultrasound Med Biol Ano de publicação: 2019 Tipo de documento: Article
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