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