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Proceedings Paper

Spatially offset Raman spectroscopy for in vivo bone strength prediction with minimized soft tissue influence (Conference Presentation)

Paper Abstract

Using transcutaneous spatially offset Raman spectroscopy (SORS) and partial least squares regression (PLSR), we recently predicted the areal bone mineral density (aBMD), volumetric bone mineralization density (vBMD) and maximum torque (MT) of tibiae in living mice. Despite the spatial offset geometry, the accuracy of the predictions was still affected by the signal from the overlying soft tissue that, like bone, contains large amounts of Type I collagen. Here we report a way to use SOLD (simultaneous, overconstrained, library-based decomposition) to improve the PLSR accuracy. The SOLD processing generates one bone spectrum estimate, one soft tissue spectrum estimate, and a residual. We combine the bone and residual spectra together for submission to PLSR, discarding only the soft tissue contribution. With the implementation of this soft-tissue-subtracted SOLD processing, we demonstrate that we can predict vBMD and MT more accurately than our previous transcutaneous measurements.

Paper Details

Date Published: 9 March 2020
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Proc. SPIE 11236, Biomedical Vibrational Spectroscopy 2020: Advances in Research and Industry, 112360J (9 March 2020); doi: 10.1117/12.2545993
Show Author Affiliations
Keren Chen, Univ. of Rochester (United States)
Christine M. Massie, Univ. of Rochester (United States)
Andrew J. Berger, Univ. of Rochester (United States)


Published in SPIE Proceedings Vol. 11236:
Biomedical Vibrational Spectroscopy 2020: Advances in Research and Industry
Wolfgang Petrich; Zhiwei Huang, Editor(s)

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