Skip to content


You're viewing the new version of our site. Please leave us feedback.

Learn more

Head & Neck Oncology

Open Access

Spectral scatter scanning system for surgical margin detection

  • Brian W Pogue1,
  • Venkat Krishnaswamy1,
  • Ashley Laughney1,
  • Keith D Paulsen1,
  • P Jack Hoopes2 and
  • Pilar Beatriz García Allende3
Head & Neck Oncology20091(Suppl 1):O12

Published: 28 July 2009

Tumour margin detection in real time without the use of additional molecular stain would be desirable. Surgical use of a microscopy tool would be ideal, but most systems focus on microscopic disease evaluation, whereas tools for macroscopic scanning of tissue such as enhanced endoscopy imaging are less well developed. A raster scanning scatter spectroscopy system has been evaluated for imaging the spectral signature remitted from tissue, with an online classification algorithm, which maximizes the ability to identify regions of tumour from regions of normal tissue. The system uses a wide band of wavelengths from 400 nm up to 700 nm, and recovers the scatter power, scatter amplitude, and absorption species, from the reflectance from a 100 micron spot, allowing imaging of tissue a high frame rate. The system uses dark field illumination and spectrometer detection in the emission channel together with a scanning mirror. The early prototypes of the system were tested on pancreas tumours and prostate tumour margin detection, and current work is ongoing in breast cancer margin delineation. The automated tissue classification from the data uses a k-nearest neighbours classification, to provide tissue delineation.

Authors’ Affiliations

Dartmouth College
Dartmouth Medical School
Universidad de Cantabria


© Pogue et al; licensee BioMed Central Ltd. 2009

This article is published under license to BioMed Central Ltd.