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.
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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 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: | https://discovery.ucl.ac.uk/id/eprint/1561123 |
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