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Diagnostics
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Surgical Applications of Hyperspectral Optical Imaging
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Surgical Applications of Hyperspectral Optical Imaging

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Biomedical Optics".

Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 8487

Special Issue Editors

Prof. Dr. Michele Diana

E-Mail Website
Guest Editor
1. IRCAD, Research Institute against Digestive Cancer; 1, Place de l’Hôpital, 67091 Strasbourg, France
2. ICube Lab, Photonics for Health, University of Strasbourg, Strasbourg, France
3. Department of General, Digestive and Endocrine Surgery, University Hospital of Strasbourg, 1, Place de l’Hôpital, 67091 Strasbourg, France
Interests: optical imaging; surgical robotics; artificial intelligence
Prof. Dr. Ines Gockel

E-Mail Website
Guest Editor
Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital of Leipzig, Liebigstr. 20, D-04103 Leipzig, Germany
Interests: moleculargenetic disorders of the gastrointestinal tract; modern biomarkers in visceral oncology; translational research of gastrointestinal tumors; intraoperative imaging (hyperspectral and fluorescence imaging); robotics in visceral surgery
Dr. Manuel Barberio

E-Mail Website
Guest Editor
1. Institute for Research against Digestive Cancer (IRCAD), 67091 Strasbourg, France
2. Department of General Surgery, Hospital Card. G. Panico, 73039 Tricase, Italy
Interests: optical imaging; image-guided surgery; surgical innovation; robotic surgery; machine learning and hyperspectral imaging
Special Issues, Collections and Topics in MDPI journals
Dr. Boris Jansen-Winkeln

E-Mail Website
Guest Editor
Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital of Leipzig, 04103 Leipzig, Germany
Interests: intraoperative imaging; robotic surgery; colorectal carcinoma; machine learning and hyperspectral imaging

Special Issue Information

Dear Colleagues,

Intraoperative optical technologies such as near-infrared fluorescence imaging, multispectral imaging or hyperspectral imaging can all enhance the surgeon’s eye and allow for improved visualization of unapparent anatomical structures and to increase the discrimination of tumor tissue. Additionally, optical imaging can visualize tissue metabolic activity, including oxygenation. For these reasons, optical imaging seems an ideal candidate to improve the current state-of-the-art of minimally invasive surgery and particularly of surgical oncology. Hyperspectral imaging (HSI) is an optical modality that combines a spectroscope and a camera. The tissue–light interactions (absorption, reflectance) at the analyzed surface are a function of intrinsic biochemical properties. HSI acquires two-dimensional spatial images across the electromagnetic spectrum, thus providing a three-dimensional data set called the hypercube (x, y spatial and l spectral coordinates). In practice, HSI can perform virtual "samples" of biological tissue in real time without contact and without the need to inject a contrast medium, and has recently been applied to multiple medical applications, including recognition of anatomical structures, organ perfusion and the presence of tumor tissue. In this Special Issue, we will provide relevant examples of use of HSI optical imaging during surgical procedures.

Prof. Dr. Michele Diana
Prof. Dr. Ines Gockel
Dr. Manuel Barberio
Dr. Boris Jansen-Winkeln
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Hyperspectral imaging
  • Tumor recognition
  • Perfusion assessment
  • Deep learning
  • Machine learning
  • Intraoperative spectral imaging

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Published Papers (2 papers)

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12 pages, 27256 KiB  
Article
Intraoperative Resting-State Functional Connectivity Based on RGB Imaging
by Charly Caredda, Laurent Mahieu-Williame, Raphaël Sablong, Michaël Sdika, Fabien C. Schneider, Jacques Guyotat and Bruno Montcel
Diagnostics 2021, 11(11), 2067; https://doi.org/10.3390/diagnostics11112067 - 9 Nov 2021
Cited by 3 | Viewed by 1741
Abstract
RGB optical imaging is a marker-free, contactless, and non-invasive technique that is able to monitor hemodynamic brain response following neuronal activation using task-based and resting-state procedures. Magnetic resonance imaging (fMRI) and functional near infra-red spectroscopy (fNIRS) resting-state procedures cannot be used intraoperatively but [...] Read more.
RGB optical imaging is a marker-free, contactless, and non-invasive technique that is able to monitor hemodynamic brain response following neuronal activation using task-based and resting-state procedures. Magnetic resonance imaging (fMRI) and functional near infra-red spectroscopy (fNIRS) resting-state procedures cannot be used intraoperatively but RGB imaging provides an ideal solution to identify resting-state networks during a neurosurgical operation. We applied resting-state methodologies to intraoperative RGB imaging and evaluated their ability to identify resting-state networks. We adapted two resting-state methodologies from fMRI for the identification of resting-state networks using intraoperative RGB imaging. Measurements were performed in 3 patients who underwent resection of lesions adjacent to motor sites. The resting-state networks were compared to the identifications provided by RGB task-based imaging and electrical brain stimulation. Intraoperative RGB resting-state networks corresponded to RGB task-based imaging (DICE:0.55±0.29). Resting state procedures showed a strong correspondence between them (DICE:0.66±0.11) and with electrical brain stimulation. RGB imaging is a relevant technique for intraoperative resting-state networks identification. Intraoperative resting-state imaging has several advantages compared to functional task-based analyses: data acquisition is shorter, less complex, and less demanding for the patients, especially for those unable to perform the tasks. Full article
(This article belongs to the Special Issue Surgical Applications of Hyperspectral Optical Imaging)
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Review

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20 pages, 1716 KiB  
Review
Intraoperative Guidance Using Hyperspectral Imaging: A Review for Surgeons
by Manuel Barberio, Sara Benedicenti, Margherita Pizzicannella, Eric Felli, Toby Collins, Boris Jansen-Winkeln, Jacques Marescaux, Massimo Giuseppe Viola and Michele Diana
Diagnostics 2021, 11(11), 2066; https://doi.org/10.3390/diagnostics11112066 - 8 Nov 2021
Cited by 45 | Viewed by 4968
Abstract
Hyperspectral imaging (HSI) is a novel optical imaging modality, which has recently found diverse applications in the medical field. HSI is a hybrid imaging modality, combining a digital photographic camera with a spectrographic unit, and it allows for a contactless and non-destructive biochemical [...] Read more.
Hyperspectral imaging (HSI) is a novel optical imaging modality, which has recently found diverse applications in the medical field. HSI is a hybrid imaging modality, combining a digital photographic camera with a spectrographic unit, and it allows for a contactless and non-destructive biochemical analysis of living tissue. HSI provides quantitative and qualitative information of the tissue composition at molecular level in a contrast-free manner, hence making it possible to objectively discriminate between different tissue types and between healthy and pathological tissue. Over the last two decades, HSI has been increasingly used in the medical field, and only recently it has found an application in the operating room. In the last few years, several research groups have used this imaging modality as an intraoperative guidance tool within different surgical disciplines. Despite its great potential, HSI still remains far from being routinely used in the daily surgical practice, since it is still largely unknown to most of the surgical community. The aim of this study is to provide clinical surgeons with an overview of the capabilities, current limitations, and future directions of HSI for intraoperative guidance. Full article
(This article belongs to the Special Issue Surgical Applications of Hyperspectral Optical Imaging)
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