Presentation
9 March 2020 Development of a clinically translatable hyperspectral endoscopy (HySE) system and analysis methods for the improved diagnosis of gastrointestinal disease (Conference Presentation)
Jonghee Yoon, Alexandru Grigoroiu, James Joseph, Dale J. Waterhouse, Siri Luthman, George Gordon, Massimiliano di Pietro, Wladyslaw Januszewicz, Rebecca C. Fitzgerald, Sarah E. Bohndiek
Author Affiliations +
Abstract
Hyperspectral imaging techniques measure spatial and spectral information, which enables discrimination between healthy tissue and lesions. Hyperspectral imaging applications in endoscopy for clinical diagnostic applications are still limited due to image distortion challenges that arise when working with a flexible endoscope, for example in the gastrointestinal tract. Here, we developed a hyperspectral endoscopy (HySE) system by exploiting a line-scanning spectrograph to measure spectral information at high spectral resolution and combining it with a CMOS camera that records wide-field images for hyperspectral image reconstruction. Moreover, we developed an image normalisation method using near-infrared light to obtain accurate hyperspectral signals by correcting uneven illumination conditions during clinical endoscopy. Our next step is to apply HySE to patients to identify abnormal features in the gastrointestinal tract in vivo.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jonghee Yoon, Alexandru Grigoroiu, James Joseph, Dale J. Waterhouse, Siri Luthman, George Gordon, Massimiliano di Pietro, Wladyslaw Januszewicz, Rebecca C. Fitzgerald, and Sarah E. Bohndiek "Development of a clinically translatable hyperspectral endoscopy (HySE) system and analysis methods for the improved diagnosis of gastrointestinal disease (Conference Presentation)", Proc. SPIE 11229, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVIII, 112291A (9 March 2020); https://doi.org/10.1117/12.2545230
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KEYWORDS
Endoscopy

Hyperspectral imaging

Tissues

Imaging systems

Spectral resolution

Biomedical optics

Diagnostics

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