A computational model to detect and quantify a primary blast lung injury using near-infrared optical tomography
Article first published online: 8 JUL 2010
Copyright © 2010 John Wiley & Sons, Ltd.
International Journal for Numerical Methods in Biomedical Engineering
Volume 27, Issue 1, pages 13–28, January 2011
How to Cite
Kannan, R. and Przekwas, A. (2011), A computational model to detect and quantify a primary blast lung injury using near-infrared optical tomography. Int. J. Numer. Meth. Biomed. Engng., 27: 13–28. doi: 10.1002/cnm.1406
- Issue published online: 30 DEC 2010
- Article first published online: 8 JUL 2010
- Manuscript Accepted: 3 JUN 2010
- Manuscript Revised: 30 MAY 2010
- Manuscript Received: 28 FEB 2010
- optical tomography;
Near-infrared (NIR) tomography is an imaging technique, in which the optical properties of tissues are reconstructed from the measurements obtained from the sensors located on the boundary. In this paper, we describe a computational method for rapid non-invasive detection/quantification of blast lung injury using the above. The Near-infrared spectroscopy (NIRS) technique is simulated using computational models and thus in principle mimics an actual NIRS procedure which penetrates non-invasively through the thoracic wall, pleural region and the lungs to detect (and subsequently reconstruct their properties) the presence of water, oxygenated and de-oxygenated blood. These ‘pseudo’ measurements can then be used to predict the extent and severity of the lung injury. The paper also discusses ideas to obtain the location, radius and the severity of a localized injury. Simulations are performed as a proof of concept for NIRS being feasible for the above-mentioned detection/quantification. Copyright © 2010 John Wiley & Sons, Ltd.