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Proceedings Paper

Dual multispectral and 3D structured light laparoscope
Author(s): Neil T. Clancy; Jianyu Lin; Shobhit Arya; George B. Hanna; Daniel S. Elson
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Paper Abstract

Intraoperative feedback on tissue function, such as blood volume and oxygenation would be useful to the surgeon in cases where current clinical practice relies on subjective measures, such as identification of ischaemic bowel or tissue viability during anastomosis formation. Also, tissue surface profiling may be used to detect and identify certain pathologies, as well as diagnosing aspects of tissue health such as gut motility. In this paper a dual modality laparoscopic system is presented that combines multispectral reflectance and 3D surface imaging. White light illumination from a xenon source is detected by a laparoscope-mounted fast filter wheel camera to assemble a multispectral image (MSI) cube. Surface shape is then calculated using a spectrally-encoded structured light (SL) pattern detected by the same camera and triangulated using an active stereo technique. Images of porcine small bowel were acquired during open surgery. Tissue reflectance spectra were acquired and blood volume was calculated at each spatial pixel across the bowel wall and mesentery. SL features were segmented and identified using a ‘normalised cut’ algoritm and the colour vector of each spot. Using the 3D geometry defined by the camera coordinate system the multispectral data could be overlaid onto the surface mesh. Dual MSI and SL imaging has the potential to provide augmented views to the surgeon supplying diagnostic information related to blood supply health and organ function. Future work on this system will include filter optimisation to reduce noise in tissue optical property measurement, and minimise spot identification errors in the SL pattern.

Paper Details

Date Published: 5 March 2015
PDF: 5 pages
Proc. SPIE 9316, Multimodal Biomedical Imaging X, 93160C (5 March 2015); doi: 10.1117/12.2080346
Show Author Affiliations
Neil T. Clancy, Imperial College London (United Kingdom)
Jianyu Lin, Imperial College London (United Kingdom)
Shobhit Arya, Imperial College London (United Kingdom)
George B. Hanna, Imperial College London (United Kingdom)
Daniel S. Elson, Imperial College London (United Kingdom)


Published in SPIE Proceedings Vol. 9316:
Multimodal Biomedical Imaging X
Fred S. Azar; Xavier Intes, Editor(s)

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