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Ayala L, Mindroc-Filimon D, Rees M, Hübner M, Sellner J, Seidlitz S, Tizabi M, Wirkert S, Seitel A, Maier-Hein L. The SPECTRAL Perfusion Arm Clamping dAtaset (SPECTRALPACA) for video-rate functional imaging of the skin. Sci Data 2024; 11:536. [PMID: 38796545 PMCID: PMC11127995 DOI: 10.1038/s41597-024-03307-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 04/24/2024] [Indexed: 05/28/2024] Open
Abstract
Spectral imaging has the potential to become a key technique in interventional medicine as it unveils much richer optical information compared to conventional RBG (red, green, and blue)-based imaging. Thus allowing for high-resolution functional tissue analysis in real time. Its higher information density particularly shows promise for the development of powerful perfusion monitoring methods for clinical use. However, even though in vivo validation of such methods is crucial for their clinical translation, the biomedical field suffers from a lack of publicly available datasets for this purpose. Closing this gap, we generated the SPECTRAL Perfusion Arm Clamping dAtaset (SPECTRALPACA). It comprises ten spectral videos (∼20 Hz, approx. 20,000 frames each) systematically recorded of the hands of ten healthy human participants in different functional states. We paired each spectral video with concisely tracked regions of interest, and corresponding diffuse reflectance measurements recorded with a spectrometer. Providing the first openly accessible in human spectral video dataset for perfusion monitoring, our work facilitates the development and validation of new functional imaging methods.
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Affiliation(s)
- Leonardo Ayala
- German Cancer Research Center (DKFZ), Division of Intelligent Medical Systems, Heidelberg, Germany.
- Medical Faculty, Heidelberg University, Heidelberg, Germany.
| | - Diana Mindroc-Filimon
- German Cancer Research Center (DKFZ), Division of Intelligent Medical Systems, Heidelberg, Germany
| | - Maike Rees
- German Cancer Research Center (DKFZ), Division of Intelligent Medical Systems, Heidelberg, Germany
- Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany
| | - Marco Hübner
- German Cancer Research Center (DKFZ), Division of Intelligent Medical Systems, Heidelberg, Germany
- Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany
| | - Jan Sellner
- German Cancer Research Center (DKFZ), Division of Intelligent Medical Systems, Heidelberg, Germany
- Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany
- Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany
- National Center for Tumor Diseases (NCT) Heidelberg, a partnership between DKFZ and Heidelberg University Hospital, Heidelberg, Germany
| | - Silvia Seidlitz
- German Cancer Research Center (DKFZ), Division of Intelligent Medical Systems, Heidelberg, Germany
- Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany
- Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany
- National Center for Tumor Diseases (NCT) Heidelberg, a partnership between DKFZ and Heidelberg University Hospital, Heidelberg, Germany
| | - Minu Tizabi
- German Cancer Research Center (DKFZ), Division of Intelligent Medical Systems, Heidelberg, Germany
| | - Sebastian Wirkert
- German Cancer Research Center (DKFZ), Division of Intelligent Medical Systems, Heidelberg, Germany
| | - Alexander Seitel
- German Cancer Research Center (DKFZ), Division of Intelligent Medical Systems, Heidelberg, Germany
| | - Lena Maier-Hein
- German Cancer Research Center (DKFZ), Division of Intelligent Medical Systems, Heidelberg, Germany
- Medical Faculty, Heidelberg University, Heidelberg, Germany
- Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany
- Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany
- National Center for Tumor Diseases (NCT) Heidelberg, a partnership between DKFZ and Heidelberg University Hospital, Heidelberg, Germany
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Kashchenko VA, Kamshilin AA, Zaitsev VV, Pavlov RV, Bogatikov AA, Lodigin AV, Guschina OB, Boyko NA. [Possibilities of tissue perfusion assessment in abdominal surgery: integration into the intraoperative system of safety control points]. Khirurgiia (Mosk) 2023:33-42. [PMID: 37682545 DOI: 10.17116/hirurgia202309233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/09/2023]
Abstract
OBJECTIVE To evaluate the possibility of integrating tissue perfusion assessment techniques (ICG perfusion and imaging photoplethysmography - iPPG) into the system of intraoperative control points of laparoscopic interventions with a reconstructive component. MATERIALS AND METHODS Quantitative assessment of ICG fluorescence and iPPG were used during 8 laparoscopically assisted interventions: gastrectomy for gastric cancer (total - 2 and distal - 1) and colorectal resections (left-sided colorectal resections - 4 and right hemicolectomy - 1). RESULTS Four stages are presented for the assessment of tissue perfusion: initial assessment, before intestine transection, before anastomosis formation, and evaluation of anastomosis. From the point of view of the significance of clinical decision-making, the «before intestine transection» stage is of great importance, due to the ease of transferring the resection level to the optimal tissue perfusion zone. CONCLUSION Integration of tissue perfusion assessment techniques into the system of intraoperative checkpoints is possible and promising.
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Affiliation(s)
- V A Kashchenko
- North-Western District Scientific and Clinical Center named after L.G. Sokolov of the Federal Medical and Biological Agency, St. Petersburg, Russia
- St. Petersburg State University, St. Petersburg, Russia
| | - A A Kamshilin
- North-Western District Scientific and Clinical Center named after L.G. Sokolov of the Federal Medical and Biological Agency, St. Petersburg, Russia
- Institute of Automation and Control Processes, Far Eastern Branch of the Russian Academy of Sciences, Vladivostok, Russia
| | - V V Zaitsev
- North-Western District Scientific and Clinical Center named after L.G. Sokolov of the Federal Medical and Biological Agency, St. Petersburg, Russia
- Institute of Automation and Control Processes, Far Eastern Branch of the Russian Academy of Sciences, Vladivostok, Russia
| | - R V Pavlov
- North-Western District Scientific and Clinical Center named after L.G. Sokolov of the Federal Medical and Biological Agency, St. Petersburg, Russia
- St. Petersburg State University, St. Petersburg, Russia
| | - A A Bogatikov
- North-Western District Scientific and Clinical Center named after L.G. Sokolov of the Federal Medical and Biological Agency, St. Petersburg, Russia
- St. Petersburg State University, St. Petersburg, Russia
| | - A V Lodigin
- North-Western District Scientific and Clinical Center named after L.G. Sokolov of the Federal Medical and Biological Agency, St. Petersburg, Russia
- St. Petersburg State University, St. Petersburg, Russia
| | - O B Guschina
- North-Western District Scientific and Clinical Center named after L.G. Sokolov of the Federal Medical and Biological Agency, St. Petersburg, Russia
- St. Petersburg State University, St. Petersburg, Russia
| | - N A Boyko
- North-Western District Scientific and Clinical Center named after L.G. Sokolov of the Federal Medical and Biological Agency, St. Petersburg, Russia
- St. Petersburg State University, St. Petersburg, Russia
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Harford M, Villarroel M, Jorge J, Redfern O, Finnegan E, Davidson S, Young JD, Tarassenko L, Watkinson P. Contactless skin perfusion monitoring with video cameras: tracking pharmacological vasoconstriction and vasodilation using photoplethysmographic changes. Physiol Meas 2022; 43. [PMID: 36270506 DOI: 10.1088/1361-6579/ac9c82] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 10/21/2022] [Indexed: 02/07/2023]
Abstract
Objectives.Clinical assessment of skin perfusion informs prognosis in critically ill patients. Video camera monitoring could provide an objective, continuous method to monitor skin perfusion. In this prospective, interventional study of healthy volunteers, we tested whether video camera-derived photoplethysmography imaging and colour measurements could detect drug-induced skin perfusion changes.Approach.We monitored the lower limbs of 30 volunteers using video cameras while administering phenylephrine (a vasoconstrictor) and glyceryl trinitrate (a vasodilator). We report relative pixel intensity changes from baseline, as absolute values are sensitive to environmental factors. The primary outcome was the pre- to peak- infusion green channel amplitude change in the pulsatile PPGi waveform component. Secondary outcomes were pre-to-peak changes in the photoplethysmographic imaging waveform baseline, skin colour hue and skin colour saturation.Main results.The 30 participants had a median age of 29 years (IQR 25-34), sixteen (53%) were male. A 34.7% (p= 0.0001) mean decrease in the amplitude of the pulsatile photoplethysmographic imaging waveform occurred following phenylephrine infusion. A 30.7% (p= 0.000004) mean increase occurred following glyceryl trinitrate infusion. The photoplethysmographic imaging baseline decreased with phenylephrine by 2.1% (p= 0.000 02) and increased with glyceryl trinitrate by 0.5% (p= 0.026). Skin colour hue changed in opposite direction with phenylephrine (-0.0013,p= 0.0002) and glyceryl trinitrate (+0.0006,p= 0.019). Skin colour saturation decreased with phenylephrine by 0.0022 (p= 0.0002), with no significant change observed with glyceryl trinitrate (+0.0005,p= 0.21).Significance.Drug-induced vasoconstriction and vasodilation are associated with detectable changes in photoplethysmographic imaging waveform parameters and skin hue. Our findings suggest video cameras have great potential for continuous, contactless skin perfusion monitoring.
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Affiliation(s)
- M Harford
- Critical Care Research Group, Kadoorie Centre for Critical Care Research and Education, Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom.,Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, United Kingdom.,Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - M Villarroel
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, United Kingdom
| | - J Jorge
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, United Kingdom
| | - O Redfern
- Critical Care Research Group, Kadoorie Centre for Critical Care Research and Education, Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom
| | - E Finnegan
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, United Kingdom
| | - S Davidson
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, United Kingdom
| | - J D Young
- Critical Care Research Group, Kadoorie Centre for Critical Care Research and Education, Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom
| | - L Tarassenko
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, United Kingdom
| | - P Watkinson
- Critical Care Research Group, Kadoorie Centre for Critical Care Research and Education, Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom.,Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
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Kashchenko VA, Zaytsev VV, Ratnikov VA, Kamshilin AA. Intraoperative visualization and quantitative assessment of tissue perfusion by imaging photoplethysmography: comparison with ICG fluorescence angiography. BIOMEDICAL OPTICS EXPRESS 2022; 13:3954-3966. [PMID: 35991934 PMCID: PMC9352280 DOI: 10.1364/boe.462694] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 06/09/2022] [Accepted: 06/09/2022] [Indexed: 05/02/2023]
Abstract
Intraoperative monitoring of tissue perfusion is of great importance for optimizing surgery and reducing postoperative complications. To date, there is no standard procedure for assessing blood circulation in routine clinical practice. Over the past decade, indocyanine green (ICG) fluorescence angiography is most commonly used for intraoperative perfusion evaluation. Imaging photoplethysmography (iPPG) potentially enables contactless assessment of the blood supply to organs. However, no strong evidence of this potential has been provided so far. Here we report results of a comparative assessment of tissue perfusion obtained using custom-made iPPG and commercial ICG-fluorescence systems during eight different gastrointestinal surgeries. Both systems allow mapping the blood-supply distribution over organs. It was demonstrated for the first time that the quantitative assessment of blood perfusion by iPPG is in good agreement with that obtained by ICG-fluorescence imaging in all surgical cases under study. iPPG can become an objective quantitative monitoring system for tissue perfusion in the operating room due to its simplicity, low cost and no need for any agent injections.
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Affiliation(s)
- Victor A. Kashchenko
- First Surgical Department, North-Western District Scientific and Clinical Center named after L.G. Sokolov of the Federal Medical and Biological Agency, 4 Kultury Pr., St. Petersburg 194291, Russia
- Department of Faculty Surgery, Saint Petersburg State University, 8A 21st Vasilyevskogo Ostrova Line, Saint-Petersburg 199106, Russia
| | - Valeriy V. Zaytsev
- Laboratory of New Functional Materials for Photonics, Institute of Automation and Control Processes of the Far-Eastern Branch of the Russian Academy of Sciences, 5 Radio str., Vladivostok 690041, Russia
| | - Vyacheslav A. Ratnikov
- Department of Radiology, North-Western District Scientific and Clinical Center named after L.G. Sokolov of the Federal Medical and Biological Agency, 4 Kultury Pr., St. Petersburg 194291, Russia
- Institute of Advanced Medical Technologies, Saint Petersburg State University, 8A 21st Vasilyevskogo Ostrova Line, Saint-Petersburg 199106, Russia
| | - Alexei A. Kamshilin
- Laboratory of New Functional Materials for Photonics, Institute of Automation and Control Processes of the Far-Eastern Branch of the Russian Academy of Sciences, 5 Radio str., Vladivostok 690041, Russia
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Rasmussen SM, Nielsen T, Hager H, Schousboe LP. Spatial analysis of photoplethysmography in cutaneous squamous cell carcinoma. Sci Rep 2022; 12:7318. [PMID: 35513459 PMCID: PMC9072381 DOI: 10.1038/s41598-022-10924-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 03/30/2022] [Indexed: 11/30/2022] Open
Abstract
The primary treatment of the common malignancy squamous cell carcinoma is surgical removal. In this process, sufficient tissue removal is balanced against unnecessary mutilation. We recently presented a remote photoplethysmography algorithm, which revealed significant differences between processed video recordings of cancer biopsy areas and surrounding tissue. The aim of this study was to investigate whether spatial analyses of photoplethysmography data correlate with post-excision pathological analyses and thus have potential to assist in tumour delineation. Based on high speed video recordings of 11 patients with squamous cell carcinoma, we examined different parameters derived from temporal remote photoplethysmography variations. Signal characteristics values in sites matching histological sections were compared with pathological measures. Values were ranked and statistically tested with a Kendall correlation analysis. A moderate, negative correlation was found between signal oscillations and the width and transversal area of squamous cell carcinoma in the frequencies below 1 Hz and specifically from 0.02 to 0.15 Hz. We have presented a correlation between frequency content and prevalence of cancer based on regular video recordings of squamous cell carcinoma. We believe this is supported by published findings on malignant melanoma. Our findings indicate that photoplethysmography can be used to distinguish SCC from healthy skin.
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Affiliation(s)
| | - Thomas Nielsen
- Department of Electrical and Computer Engineering, Aarhus University, 8000, Aarhus N, Denmark
| | - Henrik Hager
- Department of Clinical Pathology, Vejle Hospital, 7100, Vejle, Denmark
- Department of Regional Health Research, University of Southern Denmark, 5000, Odense, Denmark
| | - Lars Peter Schousboe
- Department of Otolaryngology, Southdanish University Hospital, 7100, Vejle, Denmark
- Department of Regional Health Research, University of Southern Denmark, 5000, Odense, Denmark
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Borik S, Lyra S, Perlitz V, Keller M, Leonhardt S, Blazek V. On the spatial phase distribution of cutaneous low-frequency perfusion oscillations. Sci Rep 2022; 12:5997. [PMID: 35397640 PMCID: PMC8994784 DOI: 10.1038/s41598-022-09762-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 03/24/2022] [Indexed: 11/23/2022] Open
Abstract
Distributed cutaneous tissue blood volume oscillations contain information on autonomic nervous system (ANS) regulation of cardiorespiratory activity as well as dominating thermoregulation. ANS associated with low-frequency oscillations can be quantified in terms of frequencies, amplitudes, and phase shifts. The relative order between these faculties may be disturbed by conditions colloquially termed ‘stress’. Photoplethysmography imaging, an optical non-invasive diagnostic technique provides information on cutaneous tissue perfusion in the temporal and spatial domains. Using the cold pressure test (CPT) in thirteen healthy volunteers as a well-studied experimental intervention, we present a method for evaluating phase shifts in low- and intermediate frequency bands in forehead cutaneous perfusion mapping. Phase shift changes were analysed in low- and intermediate frequency ranges from 0.05 Hz to 0.18 Hz. We observed that time waveforms increasingly desynchronised in various areas of the scanned area throughout measurements. An increase of IM band phase desynchronization observed throughout measurements was comparable in experimental and control group, suggesting a time effect possibly due to overshooting the optimal relaxation duration. CPT triggered an increase in the number of points phase-shifted to the reference that was specific to the low frequency range for phase-shift thresholds defined as π/4, 3π/8, and π/2 rad, respectively. Phase shifts in forehead blood oscillations may infer changes of vascular tone due to activity of various neural systems. We present an innovative method for the phase shift analysis of cutaneous tissue perfusion that appears promising to assess ANS change processes related to physical or psychological stress. More comprehensive studies are needed to further investigate the reliability and physiological significance of findings.
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Affiliation(s)
- Stefan Borik
- Department of Electromagnetic and Biomedical Engineering, Faculty of Electrical Engineering and Information Technology, University of Zilina, Zilina, Slovakia.
| | - Simon Lyra
- Medical Information Technology (MedIT), Helmholtz-Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany
| | | | - Micha Keller
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical School, RWTH Aachen University, Aachen, Germany
| | - Steffen Leonhardt
- Medical Information Technology (MedIT), Helmholtz-Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany
| | - Vladimir Blazek
- Medical Information Technology (MedIT), Helmholtz-Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany.,The Czech Institute of Informatics, Robotics and Cybernetics (CIIRC), Czech Technical University in Prague, Prague, Czech Republic
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Almarshad MA, Islam MS, Al-Ahmadi S, BaHammam AS. Diagnostic Features and Potential Applications of PPG Signal in Healthcare: A Systematic Review. Healthcare (Basel) 2022; 10:healthcare10030547. [PMID: 35327025 PMCID: PMC8950880 DOI: 10.3390/healthcare10030547] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 03/03/2022] [Accepted: 03/11/2022] [Indexed: 02/04/2023] Open
Abstract
Recent research indicates that Photoplethysmography (PPG) signals carry more information than oxygen saturation level (SpO2) and can be utilized for affordable, fast, and noninvasive healthcare applications. All these encourage the researchers to estimate its feasibility as an alternative to many expansive, time-wasting, and invasive methods. This systematic review discusses the current literature on diagnostic features of PPG signal and their applications that might present a potential venue to be adapted into many health and fitness aspects of human life. The research methodology is based on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines 2020. To this aim, papers from 1981 to date are reviewed and categorized in terms of the healthcare application domain. Along with consolidated research areas, recent topics that are growing in popularity are also discovered. We also highlight the potential impact of using PPG signals on an individual’s quality of life and public health. The state-of-the-art studies suggest that in the years to come PPG wearables will become pervasive in many fields of medical practices, and the main domains include cardiology, respiratory, neurology, and fitness. Main operation challenges, including performance and robustness obstacles, are identified.
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Affiliation(s)
- Malak Abdullah Almarshad
- Computer Science Department, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia; (M.S.I.); (S.A.-A.)
- Computer Science Department, College of Computer and Information Sciences, Al-Imam Mohammad Ibn Saud Islamic University, Riyadh 11432, Saudi Arabia
- Correspondence:
| | - Md Saiful Islam
- Computer Science Department, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia; (M.S.I.); (S.A.-A.)
| | - Saad Al-Ahmadi
- Computer Science Department, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia; (M.S.I.); (S.A.-A.)
| | - Ahmed S. BaHammam
- The University Sleep Disorders Center, Department of Medicine, College of Medicine, King Saud University, Riyadh 11324, Saudi Arabia;
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Hammer A, Scherpf M, Schmidt M, Ernst H, Malberg H, Matschke K, Dragu A, Martin J, Bota O. Camera-based assessment of cutaneous perfusion strength in a clinical setting. Physiol Meas 2022; 43. [PMID: 35168227 DOI: 10.1088/1361-6579/ac557d] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 02/15/2022] [Indexed: 01/03/2023]
Abstract
Objective. After skin flap transplants, perfusion strength monitoring is essential for the early detection of tissue perfusion disorders and thus to ensure the survival of skin flaps. Camera-based photoplethysmography (cbPPG) is a non-contact measurement method, using video cameras and ambient light, which provides spatially resolved information about tissue perfusion. It has not been researched yet whether the measurement depth of cbPPG, which is limited by the penetration depth of ambient light, is sufficient to reach pulsatile vessels and thus to measure the perfusion strength in regions that are relevant for skin flap transplants.Approach. We applied constant negative pressure (compared to ambient pressure) to the anterior thighs of 40 healthy subjects. Seven measurements (two before and five up to 90 minutes after the intervention) were acquired using an RGB video camera and photospectrometry simultaneously. We investigated the performance of different algorithmic approaches for perfusion strength assessment, including the signal-to-noise ratio (SNR), its logarithmic components logS and logN, amplitude maps, and the amplitude height of alternating and direct signal components.Main results. We found strong correlations of up tor=0.694 (p<0.001) between photospectrometric measurements and all cbPPG parameters except SNR when using the green color channel. The transfer of cbPPG signals to POS, CHROM, and O3C did not lead to systematic improvements. However, for direct signal components, the transformation to O3C led to correlations of up tor=0.744 (p<0.001) with photospectrometric measurements.Significance. Our results indicate that a camera-based perfusion strength assessment in tissue with deep-seated pulsatile vessels is possible.
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Affiliation(s)
- Alexander Hammer
- Institute of Biomedical Engineering, TU Dresden, Fetscherstr. 29, Dresden, 01307, GERMANY
| | - Matthieu Scherpf
- Institute of Biomedical Engineering, TU Dresden, Fetscherstr. 29, Dresden, 01307, GERMANY
| | - Martin Schmidt
- Institute of Biomedical Engineering, TU Dresden, Fetscherstr. 29, Dresden, 01307, GERMANY
| | - Hannes Ernst
- Institute of Biomedical Engineering, TU Dresden, Fetscherstr. 29, Dresden, 01307, GERMANY
| | - Hagen Malberg
- Institute of Biomedical Engineering, TU Dresden, Fetscherstr. 29, Dresden, 01307, GERMANY
| | - Klaus Matschke
- Department of Cardiac Surgery, University Heart Center Dresden, TU Dresden, Fetscherstr. 76, Dresden, 01307, GERMANY
| | - Adrian Dragu
- University Center for Orthopedics, Trauma and Plastic Surgery, Faculty of Medicine Carl Gustav Carus, TU Dresden, Fetscherstr. 74, Dresden, 01307, GERMANY
| | - Judy Martin
- University Center for Orthopedics, Trauma and Plastic Surgery, Faculty of Medicine Carl Gustav Carus, TU Dresden, Fetscherstr. 74, Dresden, 01037, GERMANY
| | - Olimpiu Bota
- University Center for Orthopedics, Trauma and Plastic Surgery, Faculty of Medicine Carl Gustav Carus, TU Dresden, Fetscherstr. 74, Dresden, 01307, GERMANY
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Photoplethysmography for demarcation of cutaneous squamous cell carcinoma. Sci Rep 2021; 11:21467. [PMID: 34728637 PMCID: PMC8563950 DOI: 10.1038/s41598-021-00645-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 09/16/2021] [Indexed: 11/09/2022] Open
Abstract
A video processing algorithm designed to identify cancer suspicious skin areas is presented here. It is based on video recordings of squamous cell carcinoma in the skin. Squamous cell carcinoma is a common malignancy, normally treated by surgical removal. The surgeon should always balance sufficient tissue removal against unnecessary mutilation, and therefore methods for distinction of cancer boundaries are wanted. Squamous cell carcinoma has angiogenesis and increased blood supply. Remote photoplethysmography is an evolving technique for analysis of signal variations in video recordings in order to extract vital signs such as pulsation. We hypothesize that the remote photoplethysmography signal inside the area of a squamous cell carcinoma is significantly different from the surrounding healthy skin. Based on high speed video recordings of 13 patients with squamous cell carcinoma, we have examined temporal signal differences in cancer areas versus healthy skin areas. A significant difference in temporal signal changes between cancer areas and healthy areas was found. Our video processing algorithm showed promising results encouraging further investigation to clarify how detailed distinctions can be made.
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