TY - JOUR
T1 - Classification of skin moles from optical spectropolarimetric images
T2 - A pilot study
AU - Graham, Lior
AU - Yitzhaky, Yitzhak
AU - Abdulhalim, Ibrahim
N1 - Funding Information:
We are thankful to the following people who worked on the different forms of the skin-imaging tools developed in our group and the development of the liquid-crystal devices, which without their works we could not develop this methodology: Riki Moses, Ofir Aharon, Avner Safrani, and Shahar Mor. We would also like to thank the following MDs and Pathologists from the Soroka University Hospital for their cooperation in developing these tools: Professor Lior Rosenberg, Dr. Ofer Arnon, Dr. Victor Dyomin, and Dr. Eldad Silberstein. This work was partially supported by the Ministry of Science under the “Tashtiot” program.
PY - 2013/11/25
Y1 - 2013/11/25
N2 - A new skin-imaging method, which was developed recently, gives an informative image data about skin moles by collecting scattered polarized light reflected from their tissue area at different wavelengths and polarizations. This method is called as optical rotational spectropolarimetric imaging (ORSI), which scans the polarization states by continuously rotating a linearly polarized light incident on the lesion and collecting the reflected sequence of images. A novel method to distinguish cancerous from benign moles by analyzing the images obtained using this imaging system is proposed. The proposed method performs an automatic examination of the polarized images according to characteristics such as their cross-image local contrasts, large-scale homogeneity, border disorder, and asymmetry. The pilot study was conducted with 10 subjects, in which two ORSI image sequences at two different wavelengths were taken for each subject. Results show good separation between cancerous and benign moles and between benign moles with high dysplasia.
AB - A new skin-imaging method, which was developed recently, gives an informative image data about skin moles by collecting scattered polarized light reflected from their tissue area at different wavelengths and polarizations. This method is called as optical rotational spectropolarimetric imaging (ORSI), which scans the polarization states by continuously rotating a linearly polarized light incident on the lesion and collecting the reflected sequence of images. A novel method to distinguish cancerous from benign moles by analyzing the images obtained using this imaging system is proposed. The proposed method performs an automatic examination of the polarized images according to characteristics such as their cross-image local contrasts, large-scale homogeneity, border disorder, and asymmetry. The pilot study was conducted with 10 subjects, in which two ORSI image sequences at two different wavelengths were taken for each subject. Results show good separation between cancerous and benign moles and between benign moles with high dysplasia.
KW - Skin imaging
KW - mole classification
KW - skin image analysis
KW - spectropolarimetric imaging
UR - http://www.scopus.com/inward/record.url?scp=84887005553&partnerID=8YFLogxK
U2 - 10.1117/1.JBO.18.11.111403
DO - 10.1117/1.JBO.18.11.111403
M3 - Article
C2 - 23788260
AN - SCOPUS:84887005553
SN - 1083-3668
VL - 18
JO - Journal of Biomedical Optics
JF - Journal of Biomedical Optics
IS - 11
M1 - 111403
ER -