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

Lianne Feenstra*, Stefan D. van der Stel, Marcos Da Silva Guimaraes, Behdad Dashtbozorg, Theo J.M. Ruers

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

5 Downloads (Pure)

Abstract

The validation of newly developed optical tissue-sensing techniques for tumor detection during cancer surgery requires an accurate correlation with the histological results. Additionally, such an accurate correlation facilitates precise data labeling for developing high-performance machine learning tissue-classification models. In this paper, a newly developed Point Projection Mapping system will be introduced, which allows non-destructive tracking of the measurement locations on tissue specimens. Additionally, a framework for accurate registration, validation, and labeling with the histopathology results is proposed and validated on a case study. The proposed framework provides a more-robust and accurate method for the tracking and validation of optical tissue-sensing techniques, which saves time and resources compared to the available conventional techniques.

Original languageEnglish
Article number37
JournalJournal of imaging
Volume10
Issue number2
DOIs
Publication statusPublished - Feb 2024

Keywords

  • histology correlation
  • optical tissue sensing validation
  • Projection Mapping

Fingerprint

Dive into the research topics of 'Point Projection Mapping System for Tracking, Registering, Labeling, and Validating Optical Tissue Measurements'. Together they form a unique fingerprint.

Cite this