OSA's Digital Library

Chinese Optics Letters

Chinese Optics Letters

| PUBLISHED MONTHLY BY CHINESE LASER PRESS AND DISTRIBUTED BY OSA

  • Vol. 8, Iss. 2 — Feb. 1, 2010
  • pp: 173–176

Artificial neural network method for determining optical properties from double-integrating-spheres measurements

Chenxi Li, Huijuan Zhao, Qiuyin Wang, and Kexin Xu  »View Author Affiliations


Chinese Optics Letters, Vol. 8, Issue 2, pp. 173-176 (2010)


View Full Text Article

Acrobat PDF (807 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations
  • Export Citation/Save Click for help

Abstract

Accurate measurement of the optical properties of biological tissue is very important for optical diagnosis and therapeutics. An artificial neural network (ANN)-based inverse reconstruction method is introduced to determine the optical properties of turbid media, which is based on the reflectance (R) and transmittance (T) of a thin sample measured by a double-integrating-spheres system. The accuracy and robustness of the method has been validated, and the results show that the root mean square errors (RMSEs) of the absorption coefficient \mu a and scattering coefficient \mu' s reconstruction are less than 0.01 cm-1 and 0.02 cm-1, respectively. The algorithm is not only very accurate in the case of a lower albedo (~0.33), but also very robust to the noise of R and T especially for the \mu' s reconstruction.

© 2010 Chinese Optics Letters

OCIS Codes
(120.3150) Instrumentation, measurement, and metrology : Integrating spheres
(290.5820) Scattering : Scattering measurements
(290.7050) Scattering : Turbid media
(300.1030) Spectroscopy : Absorption

Citation
Chenxi Li, Huijuan Zhao, Qiuyin Wang, and Kexin Xu, "Artificial neural network method for determining optical properties from double-integrating-spheres measurements," Chin. Opt. Lett. 8, 173-176 (2010)
http://www.opticsinfobase.org/col/abstract.cfm?URI=col-8-2-173

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited