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International Journal of Computer Assisted Radiology and Surgery

Erschienen in:

01.12.2016 | Review Article

Hyperspectral interventional imaging for enhanced tissue visualization and discrimination combining band selection methods

verfasst von: Dorra Nouri, Yves Lucas, Sylvie Treuillet

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 12/2016

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Abstract

Purpose

Hyperspectral imaging is an emerging technology recently introduced in medical applications inasmuch as it provides a powerful tool for noninvasive tissue characterization. In this context, a new system was designed to be easily integrated in the operating room in order to detect anatomical tissues hardly noticed by the surgeon’s naked eye.

Method

Our LCTF-based spectral imaging system is operative over visible, near- and middle-infrared spectral ranges (400–1700 nm). It is dedicated to enhance critical biological tissues such as the ureter and the facial nerve. We aim to find the best three relevant bands to create a RGB image to display during the intervention with maximal contrast between the target tissue and its surroundings. A comparative study is carried out between band selection methods and band transformation methods. Combined band selection methods are proposed. All methods are compared using different evaluation criteria.

Results

Experimental results show that the proposed combined band selection methods provide the best performance with rich information, high tissue separability and short computational time. These methods yield a significant discrimination between biological tissues.

Conclusion

We developed a hyperspectral imaging system in order to enhance some biological tissue visualization. The proposed methods provided an acceptable trade-off between the evaluation criteria especially in SWIR spectral band that outperforms the naked eye’s capacities.

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Titel: Hyperspectral interventional imaging for enhanced tissue visualization and discrimination combining band selection methods
verfasst von: Dorra Nouri
Yves Lucas
Sylvie Treuillet
Publikationsdatum: 01.12.2016
Verlag: Springer Berlin Heidelberg
Erschienen in: International Journal of Computer Assisted Radiology and Surgery / Ausgabe 12/2016
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-016-1449-5

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Hyperspectral interventional imaging for enhanced tissue visualization and discrimination combining band selection methods

Abstract

Purpose

Method

Results

Conclusion

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Springer Medizin

Abstract

Purpose

Method

Results

Conclusion

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