Development and calibration of an automated Mueller matrix polarization imaging system.
The high fatality rate associated with the late detection of skin cancer makes early detection crucial in preventing death. The current method for determining if a skin lesion is suspect to cancer is initially based on the patient's and physician's subjective observation of the skin lesion. Physicians use a set of parameters called the ABCD (asymmetry, border, color, diameter) rule to help facilitate diagnosis of potential cancerous lesions. Lesions that are suspicious then require a biopsy, which is a painful, invasive, and a time-consuming procedure. In an attempt to reduce the aforementioned undesirable elements currently associated with skin cancer diagnosis, a novel optical polarization-imaging system is described that has the potential to noninvasively detect cancerous lesions. The described system generates the full 16-element Mueller matrix in less than 70 s. The operation of the system was tested in transmission, specular reflection, and diffuse reflectance modes, using known samples, such as a horizontal linear polarizer, a mirror, and a diffuser plate. In addition, it was also used to image a benign lesion on a human subject. The results of the known samples are in good agreement with their theoretical values with an average accuracy of 97.96% and a standard deviation of 0.0084, using 16 polarization images. The system accuracy was further increased to 99.44% with a standard deviation of 0.005, when 36 images were used to generate the Mueller matrix.
Baba
Justin S
JS
Texas A&M University, Biomedical Engineering Program, College Station, Texas 77843-3120, USA.
Chung
Jung-Rae
JR
DeLaughter
Aimee H
AH
Cameron
Brent D
BD
Coté
Gerard L
GL
D055592:Biophysical Phenomena; D001703:Biophysics; D004867:Equipment Design; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000706:statistics & numerical data; D008962:Models, Theoretical; D055095:Optics and Photonics / Q000295:instrumentation*; D012542:Scattering, Radiation; D012867:Skin / Q000033:anatomy & histology; D012878:Skin Neoplasms / Q000175:diagnosis* / Q000473:pathology; D012880:Skin Pigmentation