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Bioengineering
Special Issues
Application of Hyperspectral Imaging in Health and Disease
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Application of Hyperspectral Imaging in Health and Disease

A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".

Deadline for manuscript submissions: closed (15 September 2023) | Viewed by 5378

Special Issue Editor

Dr. Karsten Schmidt

E-Mail Website
Guest Editor
Department of Anesthesiology and Intensive Care Medicine, University Hospital Essen, University Duisburg-Essen, 45147 Essen, Germany
Interests: hemodynamics and microcirculation; systemic inflammation; septicemia; airway management

Special Issue Information

Dear Colleagues,

Hyperspectral imaging (HSI) is an emerging non-invasive imaging medical technique. HSI provides an evaluation of intrinsic biochemical tissue characteristics based on tissue–light interactions and enables novel diagnostic approaches in diverse medical disciplines. Research in the fields of wound care, surgery, and intensive care indicates the potential of HSI to answer so far unresolved questions in patient care. Despite this increasing interest, clinical trials to demonstrate improvements in patient outcome due to medical HSI applications are limited. However, ongoing advances in imaging technology and computer science could make HSI a future imaging modality for synergistic diagnostic and therapeutic improvements in perioperative as well as critical care medicine.

This Special Issue aims to publish high-quality original research, including case reports, reviews, and short communications, concerning up-to-date medical applications of hyperspectral imaging. We welcome translational research to provide readers with information about current limitations and possible future directions in medical hyperspectral imaging.

Dr. Karsten Schmidt
Guest Editor

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. Bioengineering is an international peer-reviewed open access monthly 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 2700 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.

Published Papers (4 papers)

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Research

12 pages, 3095 KiB  
Article
Intraoperative Laparoscopic Hyperspectral Imaging during Esophagectomy—A Pilot Study Evaluating Esophagogastric Perfusion at the Anastomotic Sites
by Annalena Ilgen, Hannes Köhler, Annekatrin Pfahl, Sigmar Stelzner, Matthias Mehdorn, Boris Jansen-Winkeln, Ines Gockel and Yusef Moulla
Bioengineering 2024, 11(1), 69; https://doi.org/10.3390/bioengineering11010069 - 9 Jan 2024
Viewed by 1021
Abstract
Hyperspectral imaging (HSI) is a non-invasive and contactless technique that enables the real-time acquisition of comprehensive information on tissue within the surgical field. In this pilot study, we investigated whether a new HSI system for minimally-invasive surgery, TIVITA® Mini (HSI-MIS), provides reliable [...] Read more.
Hyperspectral imaging (HSI) is a non-invasive and contactless technique that enables the real-time acquisition of comprehensive information on tissue within the surgical field. In this pilot study, we investigated whether a new HSI system for minimally-invasive surgery, TIVITA® Mini (HSI-MIS), provides reliable insights into tissue perfusion of the proximal and distal esophagogastric anastomotic sites during 21 laparoscopic/thoracoscopic or robotic Ivor Lewis esophagectomies of patients with cancer to minimize the risk of dreaded anastomotic insufficiency. In this pioneering investigation, physiological tissue parameters were derived from HSI measurements of the proximal site of the anastomosis (esophageal stump) and the distal site of the anastomosis (tip of the gastric conduit) during the thoracic phase of the procedure. Tissue oxygenation (StO2), Near Infrared Perfusion Index (NIR-PI), and Tissue Water Index (TWI) showed similar median values at both anastomotic sites. Significant differences were observed only for NIR-PI (median: 76.5 vs. 63.9; p = 0.012) at the distal site (gastric conduit) compared to our previous study using an HSI system for open surgery. For all 21 patients, reliable and informative measurements were attainable, confirming the feasibility of HSI-MIS to assess anastomotic viability. Further studies on the added benefit of this new technique aiming to reduce anastomotic insufficiency are warranted. Full article
(This article belongs to the Special Issue Application of Hyperspectral Imaging in Health and Disease)
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11 pages, 1927 KiB  
Article
Pediatric Brain Tissue Segmentation Using a Snapshot Hyperspectral Imaging (sHSI) Camera and Machine Learning Classifier
by Naomi Kifle, Saige Teti, Bo Ning, Daniel A. Donoho, Itai Katz, Robert Keating and Richard Jaepyeong Cha
Bioengineering 2023, 10(10), 1190; https://doi.org/10.3390/bioengineering10101190 - 13 Oct 2023
Viewed by 1362
Abstract
Pediatric brain tumors are the second most common type of cancer, accounting for one in four childhood cancer types. Brain tumor resection surgery remains the most common treatment option for brain cancer. While assessing tumor margins intraoperatively, surgeons must send tissue samples for [...] Read more.
Pediatric brain tumors are the second most common type of cancer, accounting for one in four childhood cancer types. Brain tumor resection surgery remains the most common treatment option for brain cancer. While assessing tumor margins intraoperatively, surgeons must send tissue samples for biopsy, which can be time-consuming and not always accurate or helpful. Snapshot hyperspectral imaging (sHSI) cameras can capture scenes beyond the human visual spectrum and provide real-time guidance where we aim to segment healthy brain tissues from lesions on pediatric patients undergoing brain tumor resection. With the institutional research board approval, Pro00011028, 139 red-green-blue (RGB), 279 visible, and 85 infrared sHSI data were collected from four subjects with the system integrated into an operating microscope. A random forest classifier was used for data analysis. The RGB, infrared sHSI, and visible sHSI models achieved average intersection of unions (IoUs) of 0.76, 0.59, and 0.57, respectively, while the tumor segmentation achieved a specificity of 0.996, followed by the infrared HSI and visible HSI models at 0.93 and 0.91, respectively. Despite the small dataset considering pediatric cases, our research leveraged sHSI technology and successfully segmented healthy brain tissues from lesions with a high specificity during pediatric brain tumor resection procedures. Full article
(This article belongs to the Special Issue Application of Hyperspectral Imaging in Health and Disease)
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15 pages, 1722 KiB  
Article
Bedside Hyperspectral Imaging and Organ Dysfunction Severity in Critically Ill COVID-19 Patients—A Prospective, Monocentric Observational Study
by Henning Kuhlmann, Lena Garczarek, David Künne, Kevin Pattberg, Annabell Skarabis, Mirjam Frank, Börge Schmidt, Sven Arends, Frank Herbstreit, Thorsten Brenner, Karsten Schmidt and Florian Espeter
Bioengineering 2023, 10(10), 1167; https://doi.org/10.3390/bioengineering10101167 - 6 Oct 2023
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Abstract
Hyperspectral imaging (HSI) is a non-invasive technology that provides information on biochemical tissue properties, including skin oxygenation and perfusion quality. Microcirculatory alterations are associated with organ dysfunction in septic COVID-19 patients. This prospective observational study investigated associations between skin HSI and organ dysfunction [...] Read more.
Hyperspectral imaging (HSI) is a non-invasive technology that provides information on biochemical tissue properties, including skin oxygenation and perfusion quality. Microcirculatory alterations are associated with organ dysfunction in septic COVID-19 patients. This prospective observational study investigated associations between skin HSI and organ dysfunction severity in critically ill COVID-19 patients. During the first seven days in the ICU, palmar HSI measurements were carried out with the TIVITA® tissue system. We report data from 52 critically ill COVID-19 patients, of whom 40 required extracorporeal membrane oxygenation (ECMO). HSI parameters for superficial tissue oxygenation (StO2) and oxygenation and perfusion quality (NPI) were persistently decreased. Hemoglobin tissue content (THI) increased, and tissue water content (TWI) was persistently elevated. Regression analysis showed strong indications for an association of NPI and weaker indications for associations of StO2, THI, and TWI with sequential organ failure assessment (SOFA) scoring. StO2 and NPI demonstrated negative associations with vasopressor support and lactate levels as well as positive associations with arterial oxygen saturation. These results suggest that skin HSI provides clinically relevant information, opening new perspectives for microcirculatory monitoring in critical care. Full article
(This article belongs to the Special Issue Application of Hyperspectral Imaging in Health and Disease)
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10 pages, 1714 KiB  
Article
In Vitro Antibody Quantification with Hyperspectral Imaging in a Large Field of View for Clinical Applications
by Martina De Landro, Lorenzo Cinelli, Nicola Marchese, Giulia Spano, Manuel Barberio, Cindy Vincent, Jacques Marescaux, Didier Mutter, Michel De Mathelin, Sylvain Gioux, Eric Felli, Paola Saccomandi and Michele Diana
Bioengineering 2023, 10(3), 370; https://doi.org/10.3390/bioengineering10030370 - 17 Mar 2023
Cited by 1 | Viewed by 1516
Abstract
Hyperspectral imaging (HSI) is a non-invasive, contrast-free optical-based tool that has recently been applied in medical and basic research fields. The opportunity to use HSI to identify exogenous tumor markers in a large field of view (LFOV) could increase precision in oncological diagnosis [...] Read more.
Hyperspectral imaging (HSI) is a non-invasive, contrast-free optical-based tool that has recently been applied in medical and basic research fields. The opportunity to use HSI to identify exogenous tumor markers in a large field of view (LFOV) could increase precision in oncological diagnosis and surgical treatment. In this study, the anti-high mobility group B1 (HMGB1) labeled with Alexa fluorophore (647 nm) was used as the target molecule. This is the proof-of-concept of HSI’s ability to quantify antibodies via an in vitro setting. A first test was performed to understand whether the relative absorbance provided by the HSI camera was dependent on volume at a 1:1 concentration. A serial dilution of 1:1, 10, 100, 1000, and 10,000 with phosphatase-buffered saline (PBS) was then used to test the sensitivity of the camera at the minimum and maximum volumes. For the analysis, images at 640 nm were extracted from the hypercubes according to peak signals matching the specificities of the antibody manufacturer. The results showed a positive correlation between relative absorbance and volume (r = 0.9709, p = 0.0013). The correlation between concentration and relative absorbance at min (1 µL) and max (20 µL) volume showed r = 0.9925, p < 0.0001, and r = 0.9992, p < 0.0001, respectively. These results demonstrate the HSI potential in quantifying HMGB1, hence deserving further studies in ex vivo and in vivo settings. Full article
(This article belongs to the Special Issue Application of Hyperspectral Imaging in Health and Disease)
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