
Benchtop and Animal Validation of a Projective Imaging System for Potential Use in Intraoperative Surgical Guidance
Author(s) -
Qi Gan,
Dong Wang,
Jian Ye,
Zeshu Zhang,
Xinrui Wang,
Chuanzhen Hu,
Pengfei Shao,
Ronald X. Xu
Publication year - 2016
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0157794
Subject(s) - indocyanine green , ex vivo , artificial intelligence , imaging phantom , biomedical engineering , computer vision , computer science , image guided surgery , preclinical imaging , fluorescence lifetime imaging microscopy , medicine , optics , physics , nuclear medicine , in vivo , biology , fluorescence , microbiology and biotechnology
We propose a projective navigation system for fluorescence imaging and image display in a natural mode of visual perception. The system consists of an excitation light source, a monochromatic charge coupled device (CCD) camera, a host computer, a projector, a proximity sensor and a Complementary metal–oxide–semiconductor (CMOS) camera. With perspective transformation and calibration, our surgical navigation system is able to achieve an overall imaging speed higher than 60 frames per second, with a latency of 330 ms, a spatial sensitivity better than 0.5 mm in both vertical and horizontal directions, and a projection bias less than 1 mm. The technical feasibility of image-guided surgery is demonstrated in both agar-agar gel phantoms and an ex vivo chicken breast model embedding Indocyanine Green (ICG). The biological utility of the system is demonstrated in vivo in a classic model of ICG hepatic metabolism. Our benchtop, ex vivo and in vivo experiments demonstrate the clinical potential for intraoperative delineation of disease margin and image-guided resection surgery.