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Endoscopic Depth Measurement and Super-Spectral-Resolution Imaging

Lin, J; Clancy, NT; Hu, Y; Qi, J; Tatla, T; Stoyanov, D; Maier-Hein, L; (2017) Endoscopic Depth Measurement and Super-Spectral-Resolution Imaging. In: Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017. (pp. pp. 39-47). Springer: Cham. Green open access

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Abstract

Intra-operative measurements of tissue shape and multi/ hyperspectral information have the potential to provide surgical guidance and decision making support. We report an optical probe based system to combine sparse hyperspectral measurements and spectrally-encoded structured lighting (SL) for surface measurements. The system provides informative signals for navigation with a surgical interface. By rapidly switching between SL and white light (WL) modes, SL information is combined with structure-from-motion (SfM) from white light images, based on SURF feature detection and Lucas-Kanade (LK) optical flow to provide quasi-dense surface shape reconstruction with known scale in real-time. Furthermore, "super-spectral-resolution" was realized, whereby the RGB images and sparse hyperspectral data were integrated to recover dense pixel-level hyperspectral stacks, by using convolutional neural networks to upscale the wavelength dimension. Validation and demonstration of this system is reported on ex vivo/in vivo animal/ human experiments.

Type: Proceedings paper
Title: Endoscopic Depth Measurement and Super-Spectral-Resolution Imaging
Event: International Conference on Medical Image Computing and Computer-Assisted Intervention MICCAI 2017
ISBN-13: 978-3-319-66184-1
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-319-66185-8_5
Publisher version: http://dx.doi.org/10.1007/978-3-319-66185-8_5
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: cs.CV, cs.CV
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: http://discovery.ucl.ac.uk/id/eprint/1561123
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