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Proceedings Paper

Three-dimensional online surface reconstruction of augmented fluorescence lifetime maps using photometric stereo (Conference Presentation)
Author(s): Jakob Unger; Joao Lagarto; Jennifer Phipps; Dinglong Ma; Julien Bec; Jonathan Sorger; Gregory Farwell; Richard Bold; Laura Marcu

Paper Abstract

Multi-Spectral Time-Resolved Fluorescence Spectroscopy (ms-TRFS) can provide label-free real-time feedback on tissue composition and pathology during surgical procedures by resolving the fluorescence decay dynamics of the tissue. Recently, an ms-TRFS system has been developed in our group, allowing for either point-spectroscopy fluorescence lifetime measurements or dynamic raster tissue scanning by merging a 450 nm aiming beam with the pulsed fluorescence excitation light in a single fiber collection. In order to facilitate an augmented real-time display of fluorescence decay parameters, the lifetime values are back projected to the white light video. The goal of this study is to develop a 3D real-time surface reconstruction aiming for a comprehensive visualization of the decay parameters and providing an enhanced navigation for the surgeon. Using a stereo camera setup, we use a combination of image feature matching and aiming beam stereo segmentation to establish a 3D surface model of the decay parameters. After camera calibration, texture-related features are extracted for both camera images and matched providing a rough estimation of the surface. During the raster scanning, the rough estimation is successively refined in real-time by tracking the aiming beam positions using an advanced segmentation algorithm. The method is evaluated for excised breast tissue specimens showing a high precision and running in real-time with approximately 20 frames per second. The proposed method shows promising potential for intraoperative navigation, i.e. tumor margin assessment. Furthermore, it provides the basis for registering the fluorescence lifetime maps to the tissue surface adapting it to possible tissue deformations.

Paper Details

Date Published: 19 April 2017
PDF: 1 pages
Proc. SPIE 10054, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XV, 100540F (19 April 2017); doi: 10.1117/12.2253229
Show Author Affiliations
Jakob Unger, Univ. of California, Davis (United States)
Joao Lagarto, Univ. of California, Davis (United States)
Jennifer Phipps, Univ. of California, Davis (United States)
Dinglong Ma, Univ. of California, Davis (United States)
Julien Bec, Univ. of California, Davis (United States)
Jonathan Sorger, Intuitive Surgical, Inc. (United States)
Gregory Farwell, UC Davis Medical Ctr. (United States)
Richard Bold, UC Davis Medical Ctr. (United States)
Laura Marcu, Univ. of California, Davis (United States)


Published in SPIE Proceedings Vol. 10054:
Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XV
Anita Mahadevan-Jansen; Tuan Vo-Dinh; Warren S. Grundfest, Editor(s)

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