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Die Ergebnisse der Forschungs- und Entwicklungsarbeiten, die mit Geräten der Diaspective Vision GmbH erzeugt werden, werden regelmäßig in der Fachliteratur veröffentlicht.

Tissue characterization
[1] Holmer A, Hornberger C, Wild T, Siemers F (2019): Hyperspectral imaging of the degradation of meat and comparison with necrotic tissue in human wounds. In: Journal of Spectral Imaging 8, Article ID a9 (2019); DOI: 10.1255/jsi.2019.a9

Wound assessment/treatment
[2] Schmidt A, Niessner F, von Woedtke T, Bekeschus S (2020): Hyperspectral Imaging of Wounds Reveals Augmented Tissue Oxygenation Following Cold Physical Plasma Treatment in Vivo. In: IEEE Transactions on Radiation and Plasma Medical Sciences, July 2020; DOI: 10.1109/TRPMS.2020.3009913

[3] Saiko G, Lombardi P, Au Y, Queen D, Armstrong D, Harding K (2020): Hyperspectral imaging in wound care: A systematic review. In: International Wound Journal, 15 July 2020; DOI: 10.1111/iwj.13474

[4] Strashilov S, Slavchev S, Aljowder A, Vasileva P, Postelnicu-Gherasim S, Kostov S, Yordanov A (2020): Austrian natural ointment (Theresienöl®) with a high potential in wound healing – a European Review. In: Wound Medicine 30:100191 • June 2020; DOI: 10.1016/j.wndm.2020.100191

[5] Rutkowski R, Daeschlein G, von Woedtke T, Smeets R, Gosau M, Metelmann H R (2020): Long-term Risk Assessment for Medical Application of Cold Atmospheric Pressure Plasma. In: Diagnostics, 2020, 10(4), 210; DOI 10.3390/diagnostics10040210

[6] Emmert St, Fischer T, Bernhardt T, Borchardt T, Viöl W, Wahl P, Wandke D, Metelmann H, Masur K, Bekeschus S, von Woedtke Th, Weltmann K-D, Boeckmann L (2019): Plasmamedizin für chronische und akute Wunden: Sicher und effektiv. In: Chirurgische Allgemeine Zeitung. 20. Jahrgang, 11.+12. Heft, 2019

[7] Holmer A, Marotz J, Wahl P, Dau M, Kämmerer P (2018): Hyperspectral imaging in perfusion and wound diagnostics – methods and algorithms for the determination of tissue parameters. In: Biomedizinische Technik. Biomedical engineering 2018, Sonderband Optical Technologies in Medicine / Hyperspectral Imaging; DOI: 10.1515/bmt-2017-0155

[8] Daeschlein G, Rutkowski R, Lutze S, Podewils S, Sicher C, Wild T, Metelmann H R, von Woedkte T, Jünger M (2018): Hyperspectral imaging: innovative diagnostics to visualize hemodynamic effects of cold plasma in wound therapy. In: Biomedizinische Technik. Biomedical engineering 2018. Sonderband Optical Technologies in Medicine / Hyperspectral Imaging; DOI: 10.1515/bmt-2017-0085

[9] Wild T, Becker M, Winter J, Schuschenk N, Daeschlein G, Siemers F (2018): Hyperspectral imaging of tissue perfusion and oxygenation in wounds: assessing the impact of a micro capillary dressing. In: Journal of Wound Care, Vol 27, No1 (2018); DOI: 10.12968/jowc.2018.27.1.38

[10] Mohammed R A A, Schäle D, Emmert S, Hornberger C (2018): Detecting signatures in hyperspectral image data of wounds: a compound model of self-organizing map and least square fitting. In: Current Directions in Biomedical Engineering 2018; 4(1): 419 – 422; DOI: 10.1515/cdbme-2018-0100

[11] Daeschlein G, Langner I, Wild T, von Podewils S, Sicher C, Kiefer T, Jünger M (2017): Hyperspectral imaging as a novel diagnostic tool in microcirculation of wounds. In: Clinical Hemorheology and Microcirculation, vol. 67, 2017, No. 3-4, pp. 467-474; DOI: 10.3233/CH-179228

[12] Marotz J, Siafliakis A, Holmer A, Kulcke A, Siemers F (2015): First results of a new hyperspectral camera system for chemical based wound analysis. In: Wound Medicine, Volumes 10–11, December 2015, Pages 17-22; DOI 10.1016/j.wndm.2015.11.003

Burns
[13] Marotz J, Schulz T, Seider S, Cruz D, Aljowder A, Promny D, Daeschlein G, Wild T, Siemers F (2020): 3D-Perfusion analysis of burn wounds using Hyperspectral Imaging. In: Burns, June 2020; DOI: 10.1016/j.burns.2020.06.001

[14] Promny D, Billner M, Reichert B (2019): Objektive Tiefenbestimmung von Verbrennungen der Hand. In: Handchir Mikrochir Plast Chir 2019; 51: 362–366, Georg Thieme Verlag KG Stuttgart • New York ISSN 0722-1819; DOI: 10.1055/a-0991-7869

[15] Promny D, Aich J, Jaehn T, Reichert B (2018): Tiefenbestimmung von Verbrennungswunden durch Hyperspektralanalyse. In: Plastische Chirurgie | 4/2018; ISSN1618-6214

Plastic surgery
[16] Schulz T, Marotz J, Stukenberg A, Reumuth G, Houschyar K S, Siemers F (2020): Hyperspektralimaging zum postoperativen Lappenmonitoring von lokoregionären Lappenplastiken. In: Handchir Mikrochir Plast Chir 2020; 52: 316–324, Georg Thieme Verlag; DOI: 10.1055/a­1167­3089

[17] Thiem D G E, Frick R W, Goetze E, Gielisch M, Al-Nawas B, Kämmerer P W (2020): Hyperspectral analysis for perioperative perfusion monitoring—a clinical feasibility study on free and pedicled flaps. In: Clinical Oral Investigations, May 2020; DOI: 10.1007/s00784-020-03382-6

Intraoperative imaging
[18] Cooney G S, Barberio M, Diana M, Sucher R, Chalopin C, Köhler H (2020): Comparison of spectral characteristics in human and pig biliary system with hyperspectral imaging (HSI). In: Current Directions in Biomedical Engineering, 2020; DOI: 10.1515/cdbme-2020-0012

[19] Sucher R, Wagner T, Köhler H, Sucher E, Guice H, Recknagel S, Lederer A, Hau H M, Rademacher S, Schneeberger S, Brandacher G, Gockel I, Seehofer D (2020): Hyperspectral Imaging (HSI) of Human Kidney Allografts. In: Annals of Surgery; DOI: ./.

[20] Felli E, Urade T, Al-Taher M, Felli M, Barberio M, Goffin L, Ettorre G M, Marescaux J, Pessaux P, Swanstrom L, Diana M (2020): Demarcation Line Assessment in Anatomical Liver Resection: An Overview. In: Surgical Innovation 2020; DOI: 10.1177/1553350620953651

[21] Sucher R, Sucher E, Köhler H, Schönherr T, Gockel I, Branzan D (2020): Hyperspectral Imaging of the Carotid Artery Subject to Endarterectomy. In: European Journal of Vascular & Endovascular Surgery; DOI: 10.1016/j.ejvs.2020.07.073

[22] Mühle R, Ernst H, Sobottka S B, Morgenstern U (2020): Workflow and hardware for intraoperative hyperspectral data acquisition in neurosurgery. In: Biomedical Engineering / Biomedizinische Technik, 25.07.2020; DOI: 10.1515/bmt-2019-0333

[23] Clancy N T, Jones G, Maier-Hein L, Elson D S, Stoyanov D (2020): Surgical spectral imaging. In: Medical Image Analysis, online 13. April 2020, 101699; DOI: 10.1016/j.media.2020.101699; DOI: 10.1016/j.media.2020.101699

[24] Gockel I, Jansen-Winkeln B, Sucher R, Rayes N, Thieme R, Moulla Y, Niebisch S, Rademacher S, Seehofer D, Schierle K, Bläker H, Neumuth T, Melzer A, Maktabi M, Köhler H, Chalopin C (2020): Hyperspektral-Imaging (HSI) – eine verlässliche Gewebedifferenzierung? In: Zentralblatt für Chirurgie 2020, 145(02): 125-129, Georg Thieme Verlag KG Stuttgart • New York ; DOI: 10.1055/a-1030-3232

[25] De Landro M, Barberio M, Felli E, Agnus V, Pizzicannell M, Diana M, Saccomandi P (2020): Hyperspectral image-based analysis of thermal damage in living liver undergoing laser ablation. In: Proceedings Volume 11362, Clinical Biophotonics, 113620G; DOI: 10.1117/12.2555465

[26] Barberio M, Felli E, Seyller E, Longo F, Chand M, Gockel I, Geny B, Swanström L, Marescaux J, Agnus V, Diana M (2020): Quantitative fluorescence angiography versus hyperspectral imaging to assess bowel ischemia: A comparative study in enhanced reality. In: Surgery, March 27, 2020; DOI: 10.1016/j.surg.2020.02.008

[27] Goetze E, Thiem D G E, Gielisch M, Al-Nawas, Kämmerer P W (2020): Digitalisierung und Ansätze künstlicher Intelligenz in der mikrovaskulär-rekonstruktiven Gesichtschirurgie. In: Der Chirurg, Springer Medizin Verlag, ein Teil von Springer Nature 21.01.2020; DOI: 10.1007/s00104-019-01103-8

[28] Maier-Hein L, Gockel I, Speidel, S, Wendler T, Teber D, März K, Tizabi M, Nickel F, Navab N, Müller-Stich B (2020): Intraoperative Bildgebung und Visualisierung. In: Der Onkologe, Springer Medizin Verlag, ein Teil von Springer Nature 2020; DOI:10.1007/s00761-019-00695-4

[29] De Landro, M, Saccomandi P, Barberio M, Schena E, Marescaux M. J., Diana M (2019): Hyperspectral imaging for thermal effect monitoring in in vivo liver during laser ablation. In: 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) pp 1851–1854; DOI: 10.1109/EMBC.2019.8856487

[30] Sucher R, Athanasios A, Köhler H, Wagner T, Brunotte M, Lederer, A, Gockel I, Seehofer D (2019): Hyperspectral Imaging (HSI) in anatomic left liver resection. In: International Journal of Surgery Case Reports (2019); DOI: 10.1016/j.ijscr.2019.08.025

[31] Felli Er, Barberio M, Urade T, Felli Em, Seeliger B, Marescaux J, Diana M (2019): Hyperspectral Imaging of pig liver Ischemia: a proof of concept. In: Show–Chwan Medical Journal 2019; 18(2): 117-121; DOI: 10.3966/156104972019121802005

[32] Barberio M, Longo F, Fiorillo C, Seeliger B, Mascagni P, Agnus, V, Lindner V, Geny B, Charles AL, Gockel I, Worreth M, Saadi A, Marescaux J, Diana M (2019): HYPerspectral Enhanced Reality (HYPER): a physiology‑based surgical guidance tool. In: Surgical Endoscopy, Springer Science+Business Media, part of Springer Nature 2019; DOI: 10.1007/s00464-019-06959-9

[33] Mascagni P, Longo F, Barberio M, Seeliger B, Agnus V, Saccomandi P, Hostettler A, Marescaux J, Diana M (2018): New intraoperative imaging technologies: Innovating the surgeon’s eye toward surgical precision. In: Journal of surgical oncology, Vol. 118(6) August 2018; DOI: 10.1002/jso.25148

[34] Chalopin C, Landgraf L, Melzer A, Neumuth T H, Oelze-Jafra S T, Salz P (2018): Was gibt es Neues in der computerassistierten Chirurgie? In: Was gibt es Neues in der Chirurgie? Jahresband 2018, chapter, pp. 51-67, ecomed Medizin; ISBN E-Book 978-3-609-76938-7

Visceral surgery
[35] Felli E, Al‑Taher M, Collins T, Baiocchini A, Felli E, Barberio M, Ettorre G M, Mutter D, Lindner V, Hostettler A, Gioux S, Schuster C, Marescaux J, Diana M (2020): Hyperspectral evaluation of hepatic oxygenation in a model of total vs. arterial liver ischaemia. In: Scientific Reports 10; DOI: 10.1038/s41598-020-72915-6

[36] Köhler H, Kulcke A, Maktabi M, Moulla Y, Jansen-Winkeln B, Barberio M, Diana M, Gockel I, Neumuth T, Chalopin C (2020): Laparoscopic system for simultaneous high-resolution video and rapid hyperspectral imaging in the visible and near-infrared spectral range. In: SPIE; DOI: 10.1117/1.JBO.25.8.086004

[37] Schwandner F, Hinz S, Witte M, Philipp M, Schafmayer C, Grambow E (2020): Intraoperative Assessment of Gastric Sleeve Oxygenation Using Hyperspectral Imaging in Esophageal Resection: A Feasibility Study. In: Visceral Medicine, 7. August 2020; DOI: 10.1159/000509304

[38] De Landro M, Barberio M, Felli E, Agnus V, Pizzicannella M, Diana M, Saccomandi P (2020): „Hyperspectral imaging system for monitoring laser-induced thermal damage in gastric mucosa. 2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Bari, Italy, 2020, pp. 1-6; DOI: 10.1109/MeMeA49120.2020.9137230

[39] Mehdorn M, Köhler H,Rabe S M, Niebisch S, Lyros O, Chalopin C, Gockel I, Jansen-Winkeln B (2020): Hyperspectral Imaging (HSI) in Acute Mesenteric Ischemia to Detect Intestinal Perfusion Deficits. In: Journal of Surgical Research, Oct. 2020 (254) 7-15; DOI: 10.1016/j.jss.2020.04.001

[40] Urade T, Felli E, Barberio M, Al-Taher M, Felli E, Goffin L, Agnus V, Ettorre G M, Marescaux J, Mutter D, Diana M (2020): „Hyperspectral enhanced reality (HYPER) for anatomical liver resection”. In: Surgical Endoscopy; DOI: 10.1007/s00464-020-07586-5

[41] Moulla Y, Reifenrath M, Rehmet K, Niebisch S, Jansen-Winkeln B, Sucher R, Hoffmeister A, Kreuser N, Köhler H, Gockel I (2020): Hybridösophagektomie mit intraoperativem Hyperspektral-Imaging. In: Der Chirurg, DOI: 10.1007/s00104-020-01139-1

[42] Thieme R, Maktabi M., Köhler H., Chalopin C., Jansen-Winkeln B., Gockel I. (2019): Classification of Barrett’s carcinoma specimens by hyperspectral imaging (HSI). In: Diseases of the Esophagus, Volume 32, Issue Supplement_2, November 2019; DOI: 10.1093/dote/doz092.129

[43] Maktabi M, Köhler H, Thieme R, Takoh J P, Rabe S M, Jansen-Winkeln B, Gockel I, Chalopin C (2019): Automatic tumor tissue classification of oncological esophageal resectates based on hyperspectral data. In: Z Gastroenterologie, 2019; 57(09): e190; DOI: 10.1055/s-0039-1695116

[44] Mehdorn M, Rabe S M, Köhler H, Maktabi M, Takoh J P, Neumuth T, Melzer A, Moulla Y, Chalopin C, Jansen-Winkeln B, Gockel I (2019): Hyperspektrales Imaging zur Diskrimination des Resektionsausmaßes im Rahmen der akuten Mesenterialischämie: Eine Fallserie. In: Z Gastroenterologie 2019; 57(09): e215; DOI: 10.1055/s-0039-1695182

[45] Gockel I, Jansen-Winkeln B, Holfert N, Rayes N, Thieme R, Maktabi M, Sucher R, Seehofer D, Barberio M, Diana M, Rabe SM, Mehdorn M, Moulla Y, Niebisch S, Branzan D, Rehmet K, Takoh JP, Petersen TO, Neumuth T, Melzer A, Chalopin C, Köhler H. [Possibilities and perspectives of hyperspectral imaging in visceral surgery]. Chirurg. 2020 Feb;91(2):150-159. doi: 10.1007/s00104-019-01016-6

[46] Jansen-Winkeln B, Holfert N, Köhler H., Chalopin C, Gockel I (2019): Bestimmung der idealen Anastomosenposition durch hyperspectrale Bildgebung. In: Zeitschrift für Gastroenterologie 2019; 57(09): S. 219; DOI: 10.1055/s-0039-1695193

[47] Maktabi M, Köhler H, Ivanova M, Takoh J P, Rabe S M, Jansen-Winkeln B, Niebisch S, Gockel I, Chalopin C (2019): Tissue classification of oncologic esophageal resectates based on hyperspectral data. In: Int J Comput Assist Radiol Surg. 2019 Oct;14(10):1651-1661, doi: 10.1007/s11548-019-02016-x

[48] Köhler H, Jansen-Winkeln B, Chalopin C, Gockel I (2019): Hyperspectral imaging as a new optical method for the measurement of gastric conduit perfusion. In: Diseases of the Esophagus, 2019 Dec 13;32(10):1. doi: 10.1093/dote/doz046.

[49] Köhler H, Jansen-Winkeln B, Maktabi M, Barberio M, Takoh J P, Holfert N et al. (2019): Evaluation of hyperspectral imaging (HSI) for the measurement of ischemic conditioning effects of the gastric conduit during esophagectomy. In: Surgical Endoscopy (2019);33(11):3775-3782. doi: 10.1007/s00464-019-06675-4.

[50] Jansen-Winkeln B, Holfert N, Köhler H, Moulla Y, Takoh J P et al. (2019): Determination of the transection margin during colorectal resection with Hyperspectral Imaging (HSI). In: Int. Journal of Colorectal Disease, Volume 34, Issue 4, pp 731–739; DOI: 10.1007/s00384-019-03250-0

[51] Gockel I, Takoh J P, Rabe S M, Chalopin C, Köhler H, Jansen-Winkeln B (2018): Neue Sicht der Dinge. In: KTM Krankenhaus Technik + Management; 3/2018, S. 24-26; pn Verlag

[52] Gockel I, Takoh J P, Chalopin C, Jansen-Winkeln B (2018): Die intraoperative Hyperspektral-Bildgebung in der Viszeralchirurgie. In: Ärzteblatt Sachsen, 07/2018, S. 291-294

[53] Jansen-Winkeln B, Maktabi M, Takoh J P et al. (2018): Hyperspectral Imaging bei gastrointestinalen Anastomosen. In: Der Chirurg 89, 717–725 (2018). DOI: 10.1007/s00104-018-0633-2

[54] Gockel I, Chalopin C, Kulcke A, Takoh J P, Barberio M, Jansen-Winkeln B, Rabe S M, Maktabi M, Köhler H, Neumuth T, Diana M, Melzer A (2017): Image-guided surgery: Einsatz von Hyperspektralbildgebung in der Viszeralchirurgie. In: CTAC-Newsletter Nr. 18, Dez. 2017, S. 7-10

Thyroid surgery
[55] Maktabi M, Köhler H, Ivanova M, Neumuth T, Rayes N, Seidemann L, Sucher R, Jansen-Winkeln B, Gockel I, Barberio M, Chalopin C (2020): Classification of Hyperspectral Endocrine Tissue Images Using Support Vector Machines. In: The international Journal of Medical Robotics and Computer Assisted Surgery; DOI: 10.1002/rcs.2121

[56] Barberio M, Maktabi M, Gockel I, Rayes N, Jansen-Winkeln B, Köhler H, Rabe S M, Seidemann L, Takoh J P, Diana M, Neumuth T, Chalopin C (2018): Hyperspectral based discrimination of thyroid and parathyroid during surgery. In: Current Directions in Biomedical Engineering 4(1) 2018, S. 399-402; DOI: 10.1515/cdbme-2018-0095

Perfusion imaging
[57] Barberio M, Felli E, Diana M, Marescaux J, Al-Taher M, Georg I, Tetsi L, Lejay A, Charles A L, Lugnier C, Geny B (2020): Hyperspectral Imaging Quantification of Mouse Limb Microcirculation Using an Ischemia Reperfusion Model with Phosphodiesterase 5 Inhibitor Preconditioning. In: Journal of Laparoendoscopic & Advanced Surgical Techniques, 29.06.2020; DOI: 10.1089/lap.2020.0364

[58] Probst A (2020): Fast, non-invasive hyperspectral imaging tool for the diagnosis and management of complex foot and leg ulcers — part 1 In: The Diabetic Foot Journal, Vol 23 No 2 2020; DOI: ./.

[59] Dietrich M, Marx S, Weigand MA, Brenner T, Schmidt K (2020): Hyperspectral imaging for bedside microcirculatory monitoring of critical care and perioperative patients: A new approach for tissue perfusion-based haemodynamic management? In: Anaesthesia Critical Care & Pain Medicine; 2020 Apr 11:S2352-5568(20)30063-1. DOI: 10.1016/j.accpm.2019.11.004

[60] Marotz J, Kulcke A, Siemers F, Cruz D, Aljowder A, Promny D, Daeschlein G, Wild T (2019): Extended Perfusion Parameter Estimation from Hyperspectral Imaging Data for Bedside Diagnostic in Medicine. In: Molecules 2019, 24, 4164; DOI: 10.3390/molecules24224164

[61] Grambow E, Dau M, Sandkühler N A, Leuchter M, Holmer A, Klar E, Weinrich M (2019): Evaluation of peripheral artery disease with the TIVITA® Tissue hyperspectral imaging camera system. In: Clinical Hemorheology and Microcirculation. 2019;73(1):3-17, DOI: 10.3233/CH-199215

[62] Jansen-Winkeln B, Takoh J P, Rabe S M, Chalopin C, Gockel I, Köhler H (2019): Handnaht v. Stapler-Anastomose – Hyperspektralbetrachtung der Perfusion. In: Zeitschrift für Gastroenterologie 2019; 57(09): 218 – 218; DOI: 10.1055/s-0039-1695191

[63] Langner I, Sicher C, von Podewils S, Henning E, Kim S, Daeschlein G (2019): Hyperspektralimaging demonstriert mikrozirkulatorische Effekte postoperativer Ergotherapie bei Patienten mit Morbus Dupuytren. In: HaMiPla Handchirurgie, Mikrochirurgie, Plastische Chirurgie 3/2019; 51(03): S. 171-176; DOI: 10.1055/a-0916-8635

[64] Kulcke A, Holmer A, Wahl P, Siemers F, Wild T, Daeschlein G (2018): A compact hyperspectral camera for measurement of perfusion parameters in medicine. In: Biomedizinische Technik/Biomedical Engineering 63(5), March 2018; DOI: 10.1515/bmt-2017-0145

[65] Grambow E, Dau M, Holmer A, Lipp V, Frerich B, Klar E, Vollmar B, Kämmerer P W (2018): Hyperspectral imaging for monitoring of perfusion failure upon microvascular anastomosis in the rat hind limb. In: Microvascular Research, Volume 116 (2018), pp 64-70; DOI: 10.1016/j.mvr.2017.10.005

[66] Holmer A, Kämmerer P W, Dau M, Grambow E, Wahl P (2017): The ability of hyperspectral imaging to detect perfusion disorders. In: SPIE Proceedings 10412, Diffuse Optical Spectroscopy and Imaging VI, 1041213 (28 July 2017); DOI: 10.1117/12.2286207

Organ
[67] Markgraf W, Feistel Ph, Thiele Ch, Malberg H (2018): Algorithms for mapping kidney tissue oxygenation during normothermic machine perfusion using hyperspectral imaging. In: Biomedical Engineering / Biomedizinische Technik 2018; DOI: 10.1515/bmt-2017-0216

[68] HolmerA, Tetschke F, Marotz J, Malberg H, Markgraf W, Thiele C, Kulcke A (2016): Oxygenation and perfusion monitoring with a hyperspectral camera system for chemical based tissue analysis of skin and organs. In: Physiological Measurement, Volume 37, Number 11 (2016), S. 2064-2078; DOI: 10.1088/0967-3334/37/11/2064

[69] Tetschke F, Markgraf W, Gransow M, Koch S, Thiele C, Kulcke A, Malberg H (2016): Hyperspectral imaging for monitoring oxygen saturation levels during normothermic kidney perfusion. In: Journal of sensors and sensor systems, 5, 1–6 (2016); DOI: 10.5194/jsss-5-313-2016

Oxygenation
[70] Sicher C, Rutkowski R, Lutze S et al. (2018): Hyperspectral imaging as a possible tool for visualization of changes in hemoglobin oxygenation in patients with deficient hemodynamics – proof of concept. In: Biomedical Engineering / Biomedizinische Technik, Band 63, Heft 5 (2018), S. 609-616; DOI: 10.1515/bmt-2017-0084

[71] Zimmermann P, Scheibe A, Marotz J, Wollina U (2017): Analysis of tissue oxygenation in chronic leg ulcers by combination of a multi-spectral camera and a hyper-spectral probe. In: Georgian medical news, No 270 (9) September 2017, S. 71-77

Others
[72] Herrmann B H, Hornberger C; (2018): Monte-Carlo Simulation of Light Tissue Interaction in Medical Hyperspectral Imaging Applications. In: Current Directions in Biomedical Engineering, 2018, 4. Jg., Nr. 1, S. 275-278; DOI: 10.1515/cdbme-2018-0067

Weiterführende Literatur in der hyperspektralen Bildgebung:

Sowa, M. G., Kuo, W. C., Ko, A. C., & Armstrong, D. G. (2016). Review of near-infrared methods for wound assessment. Journal of biomedical optics, 21 (9), 091304-091304.

Perng, C. K. (2013). Recent advances in postoperative free microvascular flap monitoring. Formosan Journal of Surgery, 46 (5), 145-148.

Myers, D., McGraw, M., George, M., Mulier, K., & Beilman, G. (2009). Tissue hemoglobin index: a non-invasive optical measure of total tissue hemoglobin. Critical Care, 13 (5), 1.

Lu, G., & Fei, B. (2014). Medical hyperspectral imaging: a review. Journal of biomedical optics, 19 (1), 010901-010901.

Bashkatov, A. N., Genina, E. A., Kochubey, V. I., & Tuchin, V. V. (2005). Optical properties of human skin, subcutaneous and mucous tissues in the wavelength range from 400 to 2000 nm. Journal of Physics D: Applied Physics, 38 (15), 2543.
Keller, Alex. „A new diagnostic algorithm for early prediction of vascular compromise in 208 microsurgical flaps using tissue oxygen saturation measurements.“ Annals of plastic surgery 62.5 (2009): 538-543.

Yafi, Amr, et al. „Postoperative quantitative assessment of reconstructive tissue status in cutaneous flap model using spatial frequency domain imaging.“ Plastic and reconstructive surgery 127.1 (2011): 117.