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Numerical analysis of uncertainties in dual frequency bone ultrasound technique

Malo, Markus; Karjalainen, Janne; Isaksson, Hanna LU ; Riekkinen, Ossi; Töyräs, Juha and Jurvelin, Jukka (2010) In Ultrasound in Medicine and Biology 36(2). p.288-294
Abstract (Swedish)
Abstract in Undetermined

Quantitative ultrasound (QUS) measurements are used in the diagnostics of osteoporosis. However, the variation in the thickness and composition of the overlying soft tissue causes significant errors to the bone QUS parameters and diminishes the reliability of the technique in vivo. Recently, the dual frequency ultrasound (DFUS) technique was introduced to minimize the errors related to soft tissue effects. In this study, the significance of soft tissue induced errors and their elimination with the DFUS technique were simulated using the finite difference time domain technique. Furthermore, we investigated the potential of the DFUS corrected integrated reflection coefficient (IRC) of bone to detect... (More)
Abstract in Undetermined

Quantitative ultrasound (QUS) measurements are used in the diagnostics of osteoporosis. However, the variation in the thickness and composition of the overlying soft tissue causes significant errors to the bone QUS parameters and diminishes the reliability of the technique in vivo. Recently, the dual frequency ultrasound (DFUS) technique was introduced to minimize the errors related to soft tissue effects. In this study, the significance of soft tissue induced errors and their elimination with the DFUS technique were simulated using the finite difference time domain technique. Furthermore, we investigated the potential of the DFUS corrected integrated reflection coefficient (IRC) of bone to detect changes in the cortical bone density. The effects of alterations in the thickness of fat and lean tissue layers and the inclination between the soft-tissues and between the soft tissue-bone layers were simulated. When the angle of the soft tissue interface was zero, i.e., perpendicular to the incident ultrasound beam, the DFUS-calculated soft tissue composition correlated highly linearly with the true soft tissue composition. The inclination between the soft tissue-bone layers was found to be critical. Even a 2-degree inclination between the soft tissue and the bone surface induced an almost 18% relative error in the corrected IRC. Increasing the inclination between the soft tissue layers increased the error in the DFUS-calculated lean and fat tissue thickness. This error was especially significant at inclination angles greater than 20 degrees. The significant soft tissue induced errors in IRC values (>300 %) could be effectively minimized (<10 %) by means of the DFUS correction. Importantly, after the DFUS correction, physiologically relevant variation in the cortical bone density could be detected (p<0.05). (Less)
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author
publishing date
type
Contribution to journal
publication status
published
subject
in
Ultrasound in Medicine and Biology
volume
36
issue
2
pages
288 - 294
publisher
Elsevier
external identifiers
  • Scopus:74849105358
ISSN
0301-5629
DOI
10.1016/j.ultrasmedbio.2009.10.008
language
English
LU publication?
no
id
4cd6e99b-46a6-4e5b-8906-3b82928b1104 (old id 2277103)
date added to LUP
2012-01-27 10:42:07
date last changed
2016-10-13 04:54:37
@misc{4cd6e99b-46a6-4e5b-8906-3b82928b1104,
  abstract     = {<b>Abstract in Undetermined</b><br/><br>
Quantitative ultrasound (QUS) measurements are used in the diagnostics of osteoporosis. However, the variation in the thickness and composition of the overlying soft tissue causes significant errors to the bone QUS parameters and diminishes the reliability of the technique in vivo. Recently, the dual frequency ultrasound (DFUS) technique was introduced to minimize the errors related to soft tissue effects. In this study, the significance of soft tissue induced errors and their elimination with the DFUS technique were simulated using the finite difference time domain technique. Furthermore, we investigated the potential of the DFUS corrected integrated reflection coefficient (IRC) of bone to detect changes in the cortical bone density. The effects of alterations in the thickness of fat and lean tissue layers and the inclination between the soft-tissues and between the soft tissue-bone layers were simulated. When the angle of the soft tissue interface was zero, i.e., perpendicular to the incident ultrasound beam, the DFUS-calculated soft tissue composition correlated highly linearly with the true soft tissue composition. The inclination between the soft tissue-bone layers was found to be critical. Even a 2-degree inclination between the soft tissue and the bone surface induced an almost 18% relative error in the corrected IRC. Increasing the inclination between the soft tissue layers increased the error in the DFUS-calculated lean and fat tissue thickness. This error was especially significant at inclination angles greater than 20 degrees. The significant soft tissue induced errors in IRC values (&gt;300 %) could be effectively minimized (&lt;10 %) by means of the DFUS correction. Importantly, after the DFUS correction, physiologically relevant variation in the cortical bone density could be detected (p&lt;0.05).},
  author       = {Malo, Markus and Karjalainen, Janne and Isaksson, Hanna and Riekkinen, Ossi and Töyräs, Juha and Jurvelin, Jukka},
  issn         = {0301-5629},
  language     = {eng},
  number       = {2},
  pages        = {288--294},
  publisher    = {ARRAY(0xcdbf4d8)},
  series       = {Ultrasound in Medicine and Biology},
  title        = {Numerical analysis of uncertainties in dual frequency bone ultrasound technique},
  url          = {http://dx.doi.org/10.1016/j.ultrasmedbio.2009.10.008},
  volume       = {36},
  year         = {2010},
}