Title :
Analysis of Mueller matrix images by polar decomposition
Author :
Chung, Jung-Rae ; Coté, Gerard L. ; DeLaughter, Aimee H. ; Baba, Justin S.
Author_Institution :
Biomed. Eng. Program, Texas A&M Univ., College Station, TX, USA
Abstract :
Using a novel automated Mueller matrix polarimetric imaging system we acquired and generated the Mueller matrix images of normal, benign, and cancerous tissue from a Sinclair swine. A polar decomposition of these Mueller matrices yields the retardance, diattenuation, and depolarization parameters for each skin sample. The results, presented in this paper, from the retardance decomposition indicate the ability to use this parameter to discriminate between benign and cancerous lesions.
Keywords :
biomedical optical imaging; cancer; light absorption; light polarisation; medical image processing; skin; Sinclair swine; automated Mueller matrix polarimetric imaging system; benign lesions; cancerous lesions; depolarization parameters; diattenuation; lesions discrimination; medical diagnostic imaging; polar decomposition; retardance; skin sample; Image analysis; Lesions; Light sources; Matrix decomposition; Optical filters; Optical imaging; Optical polarization; Optical retarders; Pixel; Skin cancer;
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
Print_ISBN :
0-7803-7612-9
DOI :
10.1109/IEMBS.2002.1053296