JBO Letters

In situ histology of mice skin through transfer learning of tissue energy interaction in optical coherence tomography

[+] Author Affiliations
Debdoot Sheet, Amrita Chaudhary, Sri Phani Krishna Karri, Debnath Das, Jyotirmoy Chatterjee

Indian Institute of Technology Kharagpur, School of Medical Science and Technology, Kharagpur 721302, India

Amin Katouzian, Nassir Navab

Technische Universität München, Computer Aided Medical Procedures, 85748 München, Germany

Provas Banerjee

Banerjee’s Biomedical Research Foundation, Kolkata 700005, India

Ajoy K. Ray

Indian Institute of Technology Kharagpur, Department of Electronics and Electrical Communication Engineering, Kharagpur 721302, India

J. Biomed. Opt. 18(9), 090503 (Sep 25, 2013). doi:10.1117/1.JBO.18.9.090503
History: Received July 12, 2013; Revised August 22, 2013; Accepted August 26, 2013
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Abstract

Abstract.  Tissue characterization method in optical coherence tomography (OCT) for in situ histology of soft tissues is presented and demonstrated for mice skin. OCT allows direct noninvasive visualization of subsurface anatomy. It is currently used for in situ investigation of lesions in skin, vessels, retinal layers, oral, and bronchial cavitities. Although OCT images present high resolution information about tissue morphology, reporting requires a reader experienced in interpretation of the images, viz., identification of anatomical layers and structures constituting the organ based on OCT speckle appearance. Our approach characterizes tissues through transfer learning of tissue energy interaction statistical physics models of ballistic and near-ballistic photons. The clinical information yield with our approach is comparable to conventional invasive histology. On cross evaluation with a mice model experiment, the epidermis, papillary dermis, dermis, and adipose tissue constituting the mice skin are identified with an accuracy of 99%, 95%, 99%, and 98%, respectively. This high accuracy of characterizing heterogeneous tissues using OCT justifies the ability of our computational approach to perform in situ histology and can be extended to regular clinical practice for diagnosis of vascular, retinal, or oral pathologies.

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© 2013 Society of Photo-Optical Instrumentation Engineers

Citation

Debdoot Sheet ; Amrita Chaudhary ; Sri Phani Krishna Karri ; Debnath Das ; Amin Katouzian, et al.
"In situ histology of mice skin through transfer learning of tissue energy interaction in optical coherence tomography", J. Biomed. Opt. 18(9), 090503 (Sep 25, 2013). ; http://dx.doi.org/10.1117/1.JBO.18.9.090503


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