NDLI: Non-invasive imaging of optical parameters of biological tissues

Content Provider	Springer Nature Link
Author	Kumar, D. Singh, M.
Copyright Year	2003
Abstract	The normalised back-scattered intensity (NBI) profiles at various locations on the forearms of ten human subjects were obtained by moving the multi-probe of a laser reflectometer. The statistical analysis of the NBI data showed that the variation in the NBI was significantly higher at the ulnar region compared with that at other regions. For determination of the scattering (μ $_{ s }$) and absorption (μ $_{ a }$) coefficients and the anisotropy parameter g at each location on the forearm, these profiles were matched with the NBI profiles simulated by a Monte Carlo procedure (χ 0.99 2 ). For the reconstruction of images of variation of these parameters, the averaged values ofμ $_{ a }$,μ $_{ s }$ and g at all locations on the forearms of the subjects were determined. The absorption coefficient had a minimum (1.92 cm$^{−1}$) and maximum (2.21 cm$^{−1}$) at the wrist and the lateral region of the forearm, respectively. The scattering coefficient had a maximum (194 cm$^{−1}$) at the medial side and near the elbow, and a minimum (186 cm$^{−1}$) at the lateral side of the forearm. Similar changes in the anisotropy parameter were also observed. By interpolation of the data of each parameter on a 100×100 image matrix and after median filtering, colour-coded images of the variation in the optical parameters were constructed. These images could be useful for diagnostic and therapeutic applications of lasers.
Starting Page	310
Ending Page	316
Page Count	7
File Format	PDF
ISSN	01400118
Journal	Medical and Biological Engineering and Computing
Volume Number	41
Issue Number	3
e-ISSN	17410444
Language	English
Publisher	Springer-Verlag
Publisher Date	2003-01-01
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Multi-probe reflectometer Monte Carlo simulation Human forearm Reflectance profiles Optical-parameter imaging Human Physiology Computer Applications Neurosciences Imaging Radiology Biomedical Engineering
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering Computer Science Applications

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