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Proceedings Paper

A laparoscopic applicator probe for real-time en-face mapping of near-surface optical sources of heterogeneity over a 1cm instrument-tip-size field-of-view
Author(s): Daqing Piao; Kenneth E. Bartels; G. Reed Holyoak; Sanjay Patel
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Paper Abstract

Surgeons operating laparoscopically often have to rely upon subjective visual cues for complete oncological control and avoiding tumor violation or iatrogenic injury to critical tissues. A laparoscopic imaging tool to allow assessment of tumor margin or identification of anatomical structures buried under the layer of tissue being dissected is desirable to probe tissue contrast at a few millimeters depth, visualize over the lateral view for resection guidance, have a non-microscopic field-of-view (FOV) adequate for rapid survey of the resection site, and form the image in real-time. Probing light diffusely propagated through tissue provides sub-surface sensitivity, but the image formation generally involves intense computation that may be costly to intraoperative time-frame. Projecting these modalities laparoscopically to sample subsurface tissue heterogeneity over a non-microscopic FOV for rapid site-survey has been challenging. We demonstrate a laparoscopic applicator probe and a method thereof for real-time en-face mapping of near-surface heterogeneity for potential use towards intraoperative margin assessment. The probe fits a 12mm port and houses at 128 copper-coated 750μm fibers that form radially alternating illumination (70 fibers) and detection (58 fibers) channels. By simultaneously illuminating the 70 source channels of the laparoscopic probe that is in contact with a scattering medium and concurrently measuring the light diffusely propagated to the 58 detector channels, the presence of near-surface optical heterogeneities can be resolved in an en-face 9.5mm field-of-view in real-time. Visualization of subsurface margin of strong attenuation contrast at a depth up to 3mm is demonstrated at a frame rate of 1.25Hz.

Paper Details

Date Published: 8 February 2017
PDF: 7 pages
Proc. SPIE 10049, Molecular-Guided Surgery: Molecules, Devices, and Applications III, 1004917 (8 February 2017); doi: 10.1117/12.2248084
Show Author Affiliations
Daqing Piao, Oklahoma State Univ. (United States)
Kenneth E. Bartels, Oklahoma State Univ. (United States)
G. Reed Holyoak, Oklahoma State Univ. (United States)
Sanjay Patel, The Univ. of Oklahoma Health Sciences Ctr. (United States)

Published in SPIE Proceedings Vol. 10049:
Molecular-Guided Surgery: Molecules, Devices, and Applications III
Brian W. Pogue; Sylvain Gioux, Editor(s)

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