Abstract

Acquiring depth information of diseases is crucial for guiding treatments such as drug penetration and disease excision. This study focuses on three types of diseases—fibrosis (FT), organelle proliferation (OPT), and pigmentation (PT)—and constructs tissue phantoms that can quantitatively simulate and regulate the depth of diseases under the detection surface. Starting with the FT phantom, this study combines degree of polarization (DoP) and anisotropy polarization basic parameters (PBPs) to establish depth-sensitive polarization feature parameters (DSPFPs). Compared to existing PBPs, DSPFPs achieve superior depth-resolved imaging results. Furthermore, for multiple disease types in shallow layers, this study establishes the Ct parameter for FT diseases, the Rb parameter for OPT diseases, and the RV parameter for PT diseases. These DSPFPs exhibit excellent depth-sensing capabilities for their target disease types and demonstrate some generalization for non-target disease types.