Abstract

Hyperspectral imaging (HSI) enables visualisation of morphological and biochemical information, which could improve disease diagnostic accuracy. Unfortunately, the wide range of image distortions that arise during flexible endoscopy in the clinic have made integration of HSI challenging. To address this challenge, we demonstrate a hyperspectral endoscope (HySE) that simultaneously records intrinsically co-registered hyperspectral and standard-of-care white light images, which allows image distortions to be compensated computationally and an accurate hyperspectral data cube to be reconstructed as the endoscope moves in the lumen. Evaluation of HySE performance shows excellent spatial, spectral and temporal resolution and high colour fidelity. Application of HySE enables: quantification of blood oxygenation levels in tissue mimicking phantoms; differentiation of spectral profiles from normal and pathological ex vivo human tissues; and recording of hyperspectral data under freehand motion within an intact ex vivo pig oesophagus model. HySE therefore shows potential for enabling HSI in clinical endoscopy.

Hyperspectral imaging (HSI) enables recording both morphological and biochemical information, but image acquisition time and geometric distortions limit its clinical applicability. Here the authors overcome these challenges with an endoscope combining HSI and white light to correct for image distortion during freehand operation.

Details

Title
A clinically translatable hyperspectral endoscopy (HySE) system for imaging the gastrointestinal tract
Author
Yoon Jonghee 1   VIAFID ORCID Logo  ; Joseph, James 1   VIAFID ORCID Logo  ; Waterhouse, Dale J 1   VIAFID ORCID Logo  ; Siri, Luthman A 1 ; Gordon George S D 2 ; di Pietro Massimiliano 3 ; Januszewicz Wladyslaw 3 ; Fitzgerald, Rebecca C 3   VIAFID ORCID Logo  ; Bohndiek, Sarah E 1   VIAFID ORCID Logo 

 University of Cambridge, Department of Physics, Cambridge, UK (GRID:grid.5335.0) (ISNI:0000000121885934); University of Cambridge, Li Ka Shing Centre, Cancer Research UK Cambridge Institute, Cambridge, UK (GRID:grid.5335.0) (ISNI:0000000121885934) 
 University of Cambridge, Department of Engineering, Cambridge, UK (GRID:grid.5335.0) (ISNI:0000000121885934) 
 University of Cambridge, MRC Cancer Unit, Hutchison/MRC Research Centre, Cambridge, UK (GRID:grid.5335.0) (ISNI:0000000121885934) 
Publication year
2019
Publication date
2019
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2393018613
Copyright
© The Author(s) 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.