In vivo performance of a matrix-based quantitative ultrasound imaging device dedicated to calcaneus investigation

Gomez, M.A.; Defontaine, M.; Giraudeau, Bruno; Camus, E.; Colin, Laurent; Laugier, Pascal; Patat, F.

doi:10.1016/s0301-5629(02)00616-6

Cited by 23 publications

(8 citation statements)

References 17 publications

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“…As an example of computingˆ 12 , suppose that for a given subject the measurements taken by the first device are 2, 4, 3, and by the second device are 7, 6, 9 (k 1 = k 2 = 3). We create the pairs for this subject as (2, 7), (2,6), (2,9), (4, 7), (4, 6) (4, 9), (3, 7), (3,6), and (3,9) and proceed in similar manner for all remaining subjects. The estimatorˆ 12 is then obtained by computing the Pearson product moment correlation between the first and second elements in all resulting pairs.…”

Section: Interval Estimation For a Difference Between Two Dependent Iccsmentioning

confidence: 99%

“…In this study, two VBR measurements were obtained on each of the 50 patients using an automated pixel count based on the image displayed on a television screen or a hand-held planimeter projecting an X-ray image. As a second example, Gomez et al [9] reported on a study in which five repeated measurements of broadband ultrasound attenuation (in dB/MHz) on the right heel of 34 subjects were obtained using 2 scanning devices (BEAM and UBIS3000). The purpose here was to compare the performance of the new device (the BEAM scanner) with the performance of the currently available scanner (UBIS3000).…”

Section: Introductionmentioning

confidence: 99%

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Confidence interval construction for a difference between two dependent intraclass correlation coefficients

Ramasundarahettige

Donner

Zou

2009

Statistics in Medicine

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Inferences for the difference between two dependent intraclass correlation coefficients (ICCs) may arise in studies in which a sample of subjects are each assessed several times with a new device and a standard. The ICC estimates for the two devices may then be compared using a test of significance. However, a confidence interval for a difference between two ICCs is more informative since it combines point estimation and hypothesis testing into a single inference statement. We propose a procedure that uses confidence limits for a single ICC to recover variance estimates needed to set confidence limits for the difference. An advantage of this approach is that it provides a confidence interval that reflects the underlying sampling distribution. Simulation results show that this method performs very well in terms of overall coverage percentage and tail errors. Two data sets are used to illustrate this procedure.

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Section: Interval Estimation For a Difference Between Two Dependent Iccsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Confidence interval construction for a difference between two dependent intraclass correlation coefficients

Ramasundarahettige

Donner

Zou

2009

Statistics in Medicine

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“…Scanning of the active focusing sub-aperture is performed electronically over the whole matrix surface. Gomez et al [16] have reported a device in which both the transmitter and the receiver were 2D arrays. To keep the foot dry, the system has a self-contained, temperature-controlled water system to accommodate various heel shapes and establish direct contact with the patient's skin.…”

Section: Transverse Transmission Techniquementioning

confidence: 99%

An overview of bone sonometry

Laugier

2004

International Congress Series

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“…Soft tissue layers overlying bones, with unknown thickness, can produce significant errors to bone quantitative ultrasound measurements [1,2]. In this study dual frequency ultrasound (DFUS) technique [3,4], developed originally for pulse-echo measurements, is applied and evaluated in a configuration typical to clinical through-transmission measurement.…”

Section: Introductionmentioning

confidence: 99%

Application of dual frequency ultrasound method in through transmission measurements

Karjalainen

Pakuła

Grimal

et al. 2012

The Journal of the Acoustical Society of America

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Soft tissue layers overlying bones, with unknown thickness, can produce significant errors to bone quantitative ultrasound measurements. In this study dual frequency ultrasound (DFUS) technique, developed originally for pulse-echo measurements, is applied and evaluated in a configuration typical to clinical through-transmission measurement. A mathematical algorithm is presented for determination of soft tissue composition, i.e. amount of lean and fat tissue, and correction of typical clinical parameters such as broadband ultrasound attenuation (BUA) and speed of sound (SOS). Ultrasound soft tissue phantoms mimicking lean and fat tissues, were tested in five different configurations by varying the composition (0-100% of fat). Different configurations were built using 10mm of fat or lean and 30mm of fat or lean, and total thickness of soft tissue constructs varied from 20mm to 40mm. Using through-transmission measurements at 0.5 MHz center frequency the thickness of soft tissue layers could be determined using DFUS technique (low and high frequency band 0.4-0.45 and 0.55-0.6 MHz, respectively). The average absolute error of fat/muscle layer thickness was 2.2mm (SD=1.3mm). The results suggest that DFUS technique may be used in through-transmission to assess the soft tissue content over/underlying the bone, and subsequently to reduce soft tissue induced errors in quantitative ultrasound measurements.

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In vivo performance of a matrix-based quantitative ultrasound imaging device dedicated to calcaneus investigation

Cited by 23 publications

References 17 publications

Confidence interval construction for a difference between two dependent intraclass correlation coefficients

Confidence interval construction for a difference between two dependent intraclass correlation coefficients

An overview of bone sonometry

Application of dual frequency ultrasound method in through transmission measurements

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