Literature DB >> 26683412

Ultrasonic backscatter from cancellous bone: the apparent backscatter transfer function.

Brent K Hoffmeister, Joseph A Mcpherson, Morgan R Smathers, P Luke Spinolo, Mark E Sellers.   

Abstract

Ultrasonic backscatter techniques are being developed to detect changes in cancellous bone caused by osteoporosis. Many techniques are based on measurements of the apparent backscatter transfer function (ABTF), which represents the backscattered power from bone corrected for the frequency response of the measurement system. The ABTF is determined from a portion of the backscatter signal selected by an analysis gate of width τw delayed by an amount τd from the start of the signal. The goal of this study was to characterize the ABTF for a wide range of gate delays (1 μs ≤ τd ≤ 6 μs) and gate widths (1 μs ≤ τw ≤ 6 μs). Measurements were performed on 29 specimens of human cancellous bone in the frequency range 1.5 to 6.0 MHz using a broadband 5-MHz transducer. The ABTF was found to be an approximately linear function of frequency for most choices of τd and τw. Changes in τd and τw caused the frequency-averaged ABTF [quantified by apparent integrated backscatter (AIB)] and the frequency dependence of the ABTF [quantified by frequency slope of apparent backscatter (FSAB)] to change by as much as 24.6 dB and 6.7 dB/MHz, respectively. τd strongly influenced the measured values of AIB and FSAB and the correlation of AIB with bone density (-0.95 ≤ R ≤ +0.68). The correlation of FSAB with bone density was influenced less strongly by τd (-0.97 ≤ R ≤ -0.87). τw had a weaker influence than τd on the measured values of AIB and FSAB and the correlation of these parameters with bone density.

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Year:  2015        PMID: 26683412     DOI: 10.1109/TUFFC.2015.007299

Source DB:  PubMed          Journal:  IEEE Trans Ultrason Ferroelectr Freq Control        ISSN: 0885-3010            Impact factor:   2.725


  7 in total

1.  Characterization of a polymer, open-cell rigid foam that simulates the ultrasonic properties of cancellous bone.

Authors:  Brent K Hoffmeister; Matthew T Huber; Ann M Viano; Jinsong Huang
Journal:  J Acoust Soc Am       Date:  2018-02       Impact factor: 1.840

2.  Effect of gate choice on backscatter difference measurements of cancellous bone.

Authors:  Brent K Hoffmeister; Ann M Viano; Luke C Fairbanks; Sheldon C Ebron; Joseph A McPherson; Matthew T Huber
Journal:  J Acoust Soc Am       Date:  2017-08       Impact factor: 1.840

Review 3.  Mechanisms of Interaction of Ultrasound With Cancellous Bone: A Review.

Authors:  Keith A Wear
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2019-10-16       Impact factor: 2.725

4.  Scattering in Cancellous Bone.

Authors:  Keith Wear
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

5.  Variability in Ultrasound Backscatter Induced by Trabecular Microstructure Deterioration in Cancellous Bone.

Authors:  Xingxing Chou; Feng Xu; Ying Li; Chengcheng Liu; Dean Ta; Lawrence H Le
Journal:  Biomed Res Int       Date:  2018-01-29       Impact factor: 3.411

6.  Quantitative imaging of ultrasound backscattered signals with information entropy for bone microstructure characterization.

Authors:  Chiao-Yin Wang; Sung-Yu Chu; Yu-Ching Lin; Yu-Wei Tsai; Ching-Lung Tai; Kuen-Cheh Yang; Po-Hsiang Tsui
Journal:  Sci Rep       Date:  2022-01-10       Impact factor: 4.379

7.  A Combined Ultrasonic Backscatter Parameter for Bone Status Evaluation in Neonates.

Authors:  Weiying Mao; Yang Du; Chengcheng Liu; Boyi Li; Dean Ta; Chao Chen; Rong Zhang
Journal:  Comput Math Methods Med       Date:  2020-05-01       Impact factor: 2.238

  7 in total

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