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Validation of newly developed optical tissue sensing techniques for tumordetection during cancer surgery requires an accurate correlation withhistological results. Additionally, such accurate correlation facilitatesprecise data labeling for developing high-performance machine-learning tissueclassification models. In this paper, a newly developed Point ProjectionMapping system will be introduced, which allows non-destructive tracking of themeasurement locations on tissue specimens. Additionally, a framework foraccurate registration, validation, and labeling with histopathology results isproposed and validated on a case study. The proposed framework provides a morerobust and accurate method for tracking and validation of optical tissuesensing techniques, which saves time and resources compared to conventionaltechniques available.

Point Projection Mapping System for Tracking, Registering, Labeling and Validating Optical Tissue Measurements