Dual multispectral and 3D structured light laparoscope

Neil T. Clancy; Jianyu Lin; Shobhit Arya; George B. Hanna; Daniel S. Elson

doi:10.1117/12.2080346

5 March 2015 Dual multispectral and 3D structured light laparoscope

Neil T. Clancy, Jianyu Lin, Shobhit Arya, George B. Hanna, Daniel S. Elson

Proceedings Volume 9316, Multimodal Biomedical Imaging X; 93160C (2015) https://doi.org/10.1117/12.2080346
Event: SPIE BiOS, 2015, San Francisco, California, United States

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.

Citation Download Citation

Neil T. Clancy, Jianyu Lin, Shobhit Arya, George B. Hanna, and Daniel S. Elson "Dual multispectral and 3D structured light laparoscope", Proc. SPIE 9316, Multimodal Biomedical Imaging X, 93160C (5 March 2015); https://doi.org/10.1117/12.2080346

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