Noninvasive ultrasound imaging for bone quality assessment using scanning confocal acoustic diagnosis, μCT, DXA measurements, and mechanical testing

Yi Xian Qin, Yi Xia, Wei Lin, Erik Mittra, Clint Rubin, Barry Gruber

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Osteoporosis is a disease characterized by decreased bone mass and progressive deterioration of the microstructure, affecting both mineral density and bone's fragility. Current diagnoses are only measuring apparent bone mineral density (AppBMD). Using our newly developed scanning confocal acoustic diagnostic (SCAD) system, we evaluated the ability of quantitative ultrasound in noninvasively predicting bone's quantity and quality on 19 human cadaver calcanei. Results show that ultrasound attenuation image on intact calcaneus represents bone mass distribution. High correlation (R=0.82) exists between SCAD determined broadband ultrasound attenuation (BUA) and DXA determined AppBMD at the calcaneus, as well as in the AppBMD result at femoral neck (R=0.81). SCAD determined BUA and ultrasound velocity (UV) are highly correlated with the micro-CT and mechanical testing determined bone quantity and quality parameters. These results suggest that image-based quantitative ultrasound is able to identify ROI and predict both bone mass and strength.

Original languageEnglish (US)
Title of host publicationMedical Biometrics - First International Conference, ICMB 2008, Proceedings
Pages216-223
Number of pages8
StatePublished - Feb 1 2008
Event1st International Conference on Medical Biometrics, ICMB 2008 - Hong Kong, Hong Kong
Duration: Jan 4 2008Jan 5 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4901 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Conference on Medical Biometrics, ICMB 2008
CountryHong Kong
CityHong Kong
Period1/4/081/5/08

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Qin, Y. X., Xia, Y., Lin, W., Mittra, E., Rubin, C., & Gruber, B. (2008). Noninvasive ultrasound imaging for bone quality assessment using scanning confocal acoustic diagnosis, μCT, DXA measurements, and mechanical testing. In Medical Biometrics - First International Conference, ICMB 2008, Proceedings (pp. 216-223). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4901 LNCS).