Intelligent spectral signature bio-imaging in vivo for surgical applications

Jihoon Jeong; Philip K. Frykman; Mark Gaon; Alice P. Chung; Erik H. Lindsley; Jae Y. Hwang; Daniel L. Farkas

doi:10.1117/12.712412

19 February 2007 Intelligent spectral signature bio-imaging in vivo for surgical applications

Jihoon Jeong, Philip K. Frykman, Mark Gaon, Alice P. Chung, Erik H. Lindsley, Jae Y. Hwang, Daniel L. Farkas

Proceedings Volume 6441, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues V; 64411N (2007) https://doi.org/10.1117/12.712412
Event: SPIE BiOS, 2007, San Jose, California, United States

Abstract

Multi-spectral imaging provides digital images of a scene or object at a large, usually sequential number of wavelengths, generating precise optical spectra at every pixel. We use the term "spectral signature" for a quantitative plot of optical property variations as a function of wavelengths. We present here intelligent spectral signature bio-imaging methods we developed, including automatic signature selection based on machine learning algorithms and database search-based automatic color allocations, and selected visualization schemes matching these approaches. Using this intelligent spectral signature bio-imaging method, we could discriminate normal and aganglionic colon tissue of the Hirschsprung's disease mouse model with over 95% sensitivity and specificity in various similarity measure methods and various anatomic organs such as parathyroid gland, thyroid gland and pre-tracheal fat in dissected neck of the rat in vivo.

Citation Download Citation

Jihoon Jeong, Philip K. Frykman, Mark Gaon, Alice P. Chung, Erik H. Lindsley, Jae Y. Hwang, and Daniel L. Farkas "Intelligent spectral signature bio-imaging in vivo for surgical applications", Proc. SPIE 6441, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues V, 64411N (19 February 2007); https://doi.org/10.1117/12.712412

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