Model-based Approach to Tissue Characterization using Optical Coherence Tomography

Structural property of the tissue can be quantified by its optical scattering properties. Since a tumor is differentiated from healthy tissue based on morphological analysis, model-based approach to cancer diagnosis is developed. The scattering property is measured using Optical Coherence Tomography. The structural subsurface images from the measurements are described quantitatively. A parametric model is developed to classify tissue as healthy or cancerous. A statistical model-based imaging method is created to distinguish healthy vs. cancerous soft tissue using the example of human Normal Fat vs. Well-Differentiated- (WD-), and De-Differentiated Liposarcoma (DDLS).