Laparoscopic system for simultaneous high-resolution video and rapid hyperspectral imaging in the visible and near-infrared spectral range.

color video hyperspectral imaging laparoscopy minimally invasive visible and near-infrared

Journal

Journal of biomedical optics
ISSN: 1560-2281
Titre abrégé: J Biomed Opt
Pays: United States
ID NLM: 9605853

Informations de publication

Date de publication:
08 2020
Historique:
received: 27 04 2020
accepted: 12 08 2020
entrez: 30 8 2020
pubmed: 30 8 2020
medline: 21 9 2021
Statut: ppublish

Résumé

Hyperspectral imaging (HSI) can support intraoperative perfusion assessment, the identification of tissue structures, and the detection of cancerous lesions. The practical use of HSI for minimal-invasive surgery is currently limited, for example, due to long acquisition times, missing video, or large set-ups. An HSI laparoscope is described and evaluated to address the requirements for clinical use and high-resolution spectral imaging. Reflectance measurements with reference objects and resected human tissue from 500 to 1000 nm are performed to show the consistency with an approved medical HSI device for open surgery. Varying object distances are investigated, and the signal-to-noise ratio (SNR) is determined for different light sources. The handheld design enables real-time processing and visualization of HSI data during acquisition within 4.6 s. A color video is provided simultaneously and can be augmented with spectral information from push-broom imaging. The reflectance data from the HSI system for open surgery at 50 cm and the HSI laparoscope are consistent for object distances up to 10 cm. A standard rigid laparoscope in combination with a customized LED light source resulted in a mean SNR of 30 to 43 dB (500 to 950 nm). Compact and rapid HSI with a high spatial- and spectral-resolution is feasible in clinical practice. Our work may support future studies on minimally invasive HSI to reduce intra- and postoperative complications.

Identifiants

pubmed: 32860357
pii: JBO-200121RR
doi: 10.1117/1.JBO.25.8.086004
pmc: PMC7453262
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Hannes Köhler (H)

University of Leipzig, Innovation Center Computer Assisted Surgery, Leipzig, Germany.
Diaspective Vision GmbH, Am Salzhaff, Germany.

Axel Kulcke (A)

Diaspective Vision GmbH, Am Salzhaff, Germany.

Marianne Maktabi (M)

University of Leipzig, Innovation Center Computer Assisted Surgery, Leipzig, Germany.

Yusef Moulla (Y)

University Hospital of Leipzig, Department of Visceral, Thoracic, Transplant, and Vascular Surgery,, Germany.

Boris Jansen-Winkeln (B)

University Hospital of Leipzig, Department of Visceral, Thoracic, Transplant, and Vascular Surgery,, Germany.

Manuel Barberio (M)

IHU-Strasbourg Institute of Image-Guided Surgery, Strasbourg, France.

Michele Diana (M)

IHU-Strasbourg Institute of Image-Guided Surgery, Strasbourg, France.

Ines Gockel (I)

University Hospital of Leipzig, Department of Visceral, Thoracic, Transplant, and Vascular Surgery,, Germany.

Thomas Neumuth (T)

University of Leipzig, Innovation Center Computer Assisted Surgery, Leipzig, Germany.

Claire Chalopin (C)

University of Leipzig, Innovation Center Computer Assisted Surgery, Leipzig, Germany.

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