Transformer-encoder for real-time DOT scanning

  • Robin Dale*
  • , Nicholas Ross
  • , Scott Howard
  • , Thomas D. O'sullivan
  • , Hamid Dehghani
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Deep-Learning based Diffuse Optical Tomography enables real-time clinical breast imaging, but current models are scanning-pathway-specific. Here, a transformer architecture is proposed to encode arbitrary scanning pathways, enabling flexible real-time imaging with a single trained model.

Original languageEnglish
Title of host publicationDiffuse Optical Spectroscopy and Imaging X
EditorsDavide Contini, Yoko Hoshi, Thomas D. O'Sullivan
PublisherSPIE
Number of pages3
ISBN (Electronic)9781510698079
DOIs
Publication statusPublished - 18 Dec 2025
Event10th Diffuse Optical Spectroscopy and Imaging - Munich, Germany
Duration: 22 Jun 202526 Jun 2025

Publication series

NameProgress in Biomedical Optics and Imaging
PublisherSPIE
Volume13935
ISSN (Print)1605-7422
ISSN (Electronic)2410-9045

Conference

Conference10th Diffuse Optical Spectroscopy and Imaging
Country/TerritoryGermany
CityMunich
Period22/06/2526/06/25

Bibliographical note

Publisher Copyright:
© 2026 SPIE.

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

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