Rapid and accurate peripheral nerve detection using multipoint Raman imaging (Conference Presentation)

Yasuaki Kumamoto; Takeo Minamikawa; Akinori Kawamura; Junichi Matsumura; Yuichiro Tsuda; Juichiro Ukon; Yoshinori Harada; Hideo Tanaka; Tetsuro Takamatsu

doi:10.1117/12.2251283

18 April 2017 Rapid and accurate peripheral nerve detection using multipoint Raman imaging (Conference Presentation)

Yasuaki Kumamoto, Takeo Minamikawa, Akinori Kawamura, Junichi Matsumura, Yuichiro Tsuda, Juichiro Ukon, Yoshinori Harada, Hideo Tanaka, Tetsuro Takamatsu

Author Affiliations +

Proceedings Volume 10054, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XV; 1005405 (2017) https://doi.org/10.1117/12.2251283
Event: SPIE BiOS, 2017, San Francisco, California, United States

Abstract

Nerve-sparing surgery is essential to avoid functional deficits of the limbs and organs. Raman scattering, a label-free, minimally invasive, and accurate modality, is one of the best candidate technologies to detect nerves for nerve-sparing surgery. However, Raman scattering imaging is too time-consuming to be employed in surgery. Here we present a rapid and accurate nerve visualization method using a multipoint Raman imaging technique that has enabled simultaneous spectra measurement from different locations (n=32) of a sample. Five sec is sufficient for measuring n=32 spectra with good S/N from a given tissue. Principal component regression discriminant analysis discriminated spectra obtained from peripheral nerves (n=863 from n=161 myelinated nerves) and connective tissue (n=828 from n=121 tendons) with sensitivity and specificity of 88.3% and 94.8%, respectively. To compensate the spatial information of a multipoint-Raman-derived tissue discrimination image that is too sparse to visualize nerve arrangement, we used morphological information obtained from a bright-field image. When merged with the sparse tissue discrimination image, a morphological image of a sample shows what portion of Raman measurement points in arbitrary structure is determined as nerve. Setting a nerve detection criterion on the portion of “nerve” points in the structure as 40% or more, myelinated nerves (n=161) and tendons (n=121) were discriminated with sensitivity and specificity of 97.5%. The presented technique utilizing a sparse multipoint Raman image and a bright-field image has enabled rapid, safe, and accurate detection of peripheral nerves.

Conference Presentation

Citation Download Citation

Yasuaki Kumamoto, Takeo Minamikawa, Akinori Kawamura, Junichi Matsumura, Yuichiro Tsuda, Juichiro Ukon, Yoshinori Harada, Hideo Tanaka, and Tetsuro Takamatsu "Rapid and accurate peripheral nerve detection using multipoint Raman imaging (Conference Presentation)", Proc. SPIE 10054, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XV, 1005405 (18 April 2017); https://doi.org/10.1117/12.2251283

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