Literature DB >> 29284556

Ultrasound Characterization of Bone Demineralization Using a Support Vector Machine.

Max Denis1, Leighton Wan2, Mostafa Fatemi3, Azra Alizad4.   

Abstract

We propose an ultrasound-guided remote measurement technique, utilizing an acoustic radiation force beam as our excitation source and a receiving hydrophone, to assess non-invasively a bone's mechanical properties. Features, such as velocity, were extracted from the acoustic pressure received from the bone surface. The typical velocity of an intact bone (3540 m/s) was higher in comparison to that of a demineralized bone (2231 m/s). According to the receiver operating characteristic curve, the optimal velocity cutoff value of ≥3096 m/s yields 80% sensitivity and 82.61% specificity between intact and demineralized bone. Utilizing a support vector machine, the hours of bone demineralization were successfully classified with maximum accuracy >80% using 18% training data. The results indicate the potential application of our proposed technique and support vector machine for monitoring bone mechanical properties.
Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acoustic radiation force; Bone; Demineralization; Quantitative ultrasound; Support vector machines

Mesh:

Year:  2017        PMID: 29284556      PMCID: PMC5801199          DOI: 10.1016/j.ultrasmedbio.2017.11.004

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


  36 in total

1.  An in vitro study of the ultrasonic axial transmission technique at the radius: 1-MHz velocity measurements are sensitive to both mineralization and intracortical porosity.

Authors:  Emmanuel Bossy; Maryline Talmant; Françoise Peyrin; Lëila Akrout; Peter Cloetens; Pascal Laugier
Journal:  J Bone Miner Res       Date:  2004-06-02       Impact factor: 6.741

2.  Sonic diagnosis of bone fracture healing--a preliminary study.

Authors:  D A Sonstegard; L S Matthews
Journal:  J Biomech       Date:  1976       Impact factor: 2.712

3.  Multiridge-based analysis for separating individual modes from multimodal guided wave signals in long bones.

Authors:  Kailiang Xu; Dean Ta; Weiqi Wang
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2010-11       Impact factor: 2.725

4.  Three-dimensional finite element modeling of guided ultrasound wave propagation in intact and healing long bones.

Authors:  Vasilios C Protopappas; Iraklis C Kourtis; Lampros C Kourtis; Konstantinos N Malizos; Christos V Massalas; Dimitrios I Fotiadis
Journal:  J Acoust Soc Am       Date:  2007-06       Impact factor: 1.840

5.  Ultrasound velocity measurement in long bones: measurement method and simulation of ultrasound wave propagation.

Authors:  G Lowet; G Van der Perre
Journal:  J Biomech       Date:  1996-10       Impact factor: 2.712

6.  In Vivo Characterization of Cortical Bone Using Guided Waves Measured by Axial Transmission.

Authors:  Quentin Vallet; Nicolas Bochud; Christine Chappard; Pascal Laugier; Jean-Gabriel Minonzio
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2016-07-07       Impact factor: 2.725

7.  The mechanical resonances of a human tibia: part I--in vitro.

Authors:  R J Collier; O Nadav; T G Thomas
Journal:  J Biomech       Date:  1982       Impact factor: 2.712

8.  In vivo assessment of bone mechanical properties by vibration and ultrasonic wave propagation analysis.

Authors:  G Van Der Perre; G Lowet
Journal:  Bone       Date:  1996-01       Impact factor: 4.398

9.  Noninvasive determination of ulnar stiffness from mechanical response--in vivo comparison of stiffness and bone mineral content in humans.

Authors:  C R Steele; L J Zhou; D Guido; R Marcus; W L Heinrichs; C Cheema
Journal:  J Biomech Eng       Date:  1988-05       Impact factor: 2.097

10.  Flexural rigidity in partially demineralized diaphyseal bone grafts.

Authors:  K U Lewandrowski; W W Tomford; A Yeadon; T F Deutsch; H J Mankin; H K Uhthoff
Journal:  Clin Orthop Relat Res       Date:  1995-08       Impact factor: 4.176

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  1 in total

1.  Prediction of hematoma expansion in spontaneous intracerebral hemorrhage using support vector machine.

Authors:  Jinjin Liu; Haoli Xu; Qian Chen; Tingting Zhang; Wenshuang Sheng; Qun Huang; Jiawen Song; Dingpin Huang; Li Lan; Yanxuan Li; Weijian Chen; Yunjun Yang
Journal:  EBioMedicine       Date:  2019-05-03       Impact factor: 8.143

  1 in total

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