DocumentCode :
2710522
Title :
Mueller matrix imaging for cancer detection
Author :
Baldwin, A.M. ; Chung, J.R. ; Baba, J.S. ; Spiegelman, C.H. ; Amos, M.S. ; Coté, G.L.
Author_Institution :
Dept. of Biomed. Eng., Texas A&M Univ., College Station, TX, USA
Volume :
2
fYear :
2003
fDate :
17-21 Sept. 2003
Firstpage :
1027
Abstract :
The Mueller matrix completely describes the optical polarization properties of a material. These properties are known to change with size of scatterers, birefringence, and number of scatterers. In cancerous and normal cells and tissues all of the above properties can change and therefore this approach can potentially be used to distinguish between non-cancerous and cancerous tissues. In this paper, an automated Mueller matrix polarization imaging system (AMMPIS) is described that measures the Mueller matrix of a tissue sample. Mueller matrix images of normal, benign mole and cancerous lesions in Sinclair swine are presented along with a statistical analysis showing above 90% sensitivity and specificity for cancer detection with this approach.
Keywords :
backscatter; bio-optics; biomedical optical imaging; cancer; cellular biophysics; polarimetry; skin; statistical analysis; Mueller matrix imaging; automated Mueller matrix polarization imaging system; backscattering; cancer detection; cancerous lesions; cancerous tissue; noncancerous tissue; normal cell; normal tissue; optical polarization property; polarimetry; skin cancer; statistical analysis; Biological materials; Birefringence; Cancer detection; Lesions; Optical imaging; Optical materials; Optical polarization; Optical scattering; Optical sensors; Statistical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
ISSN :
1094-687X
Print_ISBN :
0-7803-7789-3
Type :
conf
DOI :
10.1109/IEMBS.2003.1279419
Filename :
1279419
Link To Document :
بازگشت