Measurement of abnormal bone composition in vivo using noninvasive Raman spectroscopy

Buckley, Kevin and Kerns, Jemma and Gikas, Panagiotis D. and Birch, Helen and Vinton, Jacqueline and Keen, Richard and Parker, Anthony W. and Matousek, Pavel and Goodship, Allen (2014) Measurement of abnormal bone composition in vivo using noninvasive Raman spectroscopy. IBMS BoneKEy, 11. pp. 1-3. ISSN 1940-8692

PDF (bonekey201497)
bonekey201497.pdf - Published Version
Available under License Creative Commons Attribution.

Download (436kB)


X-ray-based diagnostic techniques, which are by far the most widely used for diagnosing bone disorders and diseases, are largely blind to the protein component of bone. Bone proteins are important because they determine certain mechanical properties of bone and changes in the proteins have been associated with a number of bone diseases. Spatially Offset Raman Spectroscopy (SORS) is a chemically specific analytical technique that can be used to retrieve information noninvasively from both the mineral and protein phases of the bone material in vivo. Here we demonstrate that SORS can be used to detect a known compositional abnormality in the bones of a patient suffering from the genetic bone disorder, osteogenesis imperfecta, a condition which affects collagen. The confirmation of the principle that bone diseases in living patients can be detected noninvasively using SORS points the way to larger studies that focus on osteoporosis and other chronic debilitating bone diseases with large socioeconomic burdens.

Item Type:
Journal Article
Journal or Publication Title:
Additional Information:
This work is licensed under a Creative Commons Attribution 3.0 Unported License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://
ID Code:
Deposited By:
Deposited On:
16 Dec 2014 11:28
Last Modified:
28 May 2023 02:36