Literature DB >> 30685076

Attenuation Coefficient Estimation of Normal Placentas.

Farah Deeba1, Manyou Ma2, Mehran Pesteie2, Jefferson Terry3, Denise Pugash4, Jennifer A Hutcheon5, Chantal Mayer5, Septimiu Salcudean2, Robert Rohling6.   

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.
Copyright © 2018 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Attenuation coefficient estimate; Envelope signal-to-noise ratio; Placenta; Pulse bandwidth; Reference phantom method

Mesh:

Year:  2019        PMID: 30685076     DOI: 10.1016/j.ultrasmedbio.2018.10.015

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  2 in total

1.  Effects of acoustic nonlinearity on pulse-echo attenuation coefficient estimation from tissue-mimicking phantoms.

Authors:  Andres Coila; Michael L Oelze
Journal:  J Acoust Soc Am       Date:  2020-08       Impact factor: 1.840

2.  Project SWAVE 2.0: An overview of the study design for multimodal placental image acquisition and alignment.

Authors:  Farah Deeba; Ricky Hu; Victoria Lessoway; Jefferson Terry; Denise Pugash; Chantal Mayer; Jennifer Hutcheon; Septimiu Salcudean; Robert Rohling
Journal:  MethodsX       Date:  2022-05-23
  2 in total

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