Hyperspectral imaging in perfusion and wound diagnostics – methods and algorithms for the determination of tissue parameters
Tóm tắt
Blood perfusion is the supply of tissue with blood, and oxygen is a key factor in the field of minor and major wound healing. Reduced perfusion of a wound bed or transplant often causes various complications. Reliable methods for an objective evaluation of perfusion status are still lacking, and insufficient perfusion may remain undiscovered, resulting in chronic processes and failing transplants. Hyperspectral imaging (HSI) represents a novel method with increasing importance for clinical practice. Therefore, methods, software and algorithms for a new HSI system are presented which can be used to observe tissue oxygenation and other parameters that are of importance in supervising healing processes. This could offer an improved insight into wound perfusion allowing timely intervention.
Từ khóa
Tài liệu tham khảo
Stremitzer S, Wild T, Hoelzenbein T. How precise is the evaluation of chronic wounds by health care professionals? Int Wound J 2007;4:156–61.
Fluhr JW, Junger M. The price for treatment of chronic skin diseases: different approaches. Dermatology (Basel, Switzerland) 2007;214:6–7.
Posnett J, Gottrup F, Lundgren H, Saal G. The resource impact of wounds on health-care providers in Europe. J Wound Care 2009;18:154–61.
Santamaria N, Ogce F, Gorelik A. Healing rate calculation in the diabetic foot ulcer: comparing different methods. Wound Repair Regen 2012;20:786–9.
Grambow E, Dau M, Holmer A, Lipp V, Frerich B, Klar E, et al. Hyperspectral imaging for monitoring of perfusion failure upon microvascular anastomosis in the rat hind limb. Microvas Res 2018;116:64–70.
Yudovsky D, Nouvong A, Pilon L. Hyperspectral imaging in diabetic foot wound care. J Diabetes Sci Technol 2010;4:1099–113.
Chin MS, Freniere BB, Lo Y-C, Saleeby JH, Baker SP, Strom HM, et al. Hyperspectral imaging for early detection of oxygenation and perfusion changes in irradiated skin. J Biomed Opt 2012;17:26010.
Zuzak KJ, Schaeberle MD, Lewis EN, Levin IW. Visible reflectance hyperspectral imaging: characterization of a noninvasive, in vivo system for determining tissue perfusion. Anal Chem 2002;74:2021–8.
Calin MA, Coman T, Parasca SV, Bercaru N, Savastru R, Manea D. Hyperspectral imaging-based wound analysis using mixture-tuned matched filtering classification method. J Biomed Opt 2015;20:46004.
Kienle A, Michels R, Schäfer J, Fugger O. Multiscale description of light propagation in biological tissue. In: Buzug TM, Holz D, Bongartz J, Kohl-Bareis M, Hartmann U, Weber S, editors. Advances in Medical Engineering. Berlin, Heidelberg: Springer Berlin Heidelberg; 2007:355–60.
Michels R. Verständnis des mikroskopischen Ursprungs der Lichtstreuung in biologischem Gewebe. Ulm: Universität Ulm; 2010.
Hielscher AH, Alcouffe RE, Barbour RL. Comparison of finite-difference transport and diffusion calculations for photon migration in homogeneous and heterogeneous tissues. Phys Med Biol 1998;43:1285–302.
Farrell TJ, Patterson MS, Wilson B. A diffusion theory model of spatially resolved, steady-state diffuse reflectance for the noninvasive determination of tissue optical properties in vivo. Med Phys 1992;19:879–88.
Bashkatov AN, Genina EA, Tuchin VV. Optical properties of skin, subcutaneous, and muscle tissues: a review. J Innov Opt Health Sci 2011;04:9–38.
Prahl S. The absorption spectra of the oxygenated and deoxygenated hemoglobin molecules. graph. Available from: URL:http://omlc.ogi.edu/spectra/hemoglobin/index.html . [cited 04/2017].
Smith AM, Mancini MC, Nie S. Bioimaging: second window for in vivo imaging. Nat Nanotechnol 2009;4:710–1.
Jacques S. Extinction coefficient of melanin. Available from: URL:http://omlc.ogi.edu/spectra/melanin/extcoeff.html [cited 04/2017].
Matcher SJ, Cope M, Delpy DT. Use of the water absorption spectrum to quantify tissue chromophore concentration changes in near-infrared spectroscopy. Phys Med Biol 1994;39:177–96.
van Veen RL, Sterenborg H, Pifferi A, Torricelli A, Cubeddu R. Determination of VIS- NIR absorption coefficients of mammalian fat, with time- and spatially resolved diffuse reflectance and transmission spectroscopy. In: Biomedical Topical Meeting. Washington, DC: OSA; 2004. SF4.
Bashkatov AN, Genina EA, Kochubey VI, Tuchin VV. Optical properties of human skin, subcutaneous and mucous tissues in the wavelength range from 400 to 2000 nm. J Phys D: Appl Phys 2005;38:2543–55.
Denstedt M, Pukstad BS, Paluchowski LA, Hernandez-Palacios JE, Randeberg LL. Hyperspectral imaging as a diagnostic tool for chronic skin ulcers. Clin Hemorheol Microcirc 2017;67: 467–4.
Schmidt WD, Liebold K, Fassler D, Wollina U. Contact-free spectroscopy of leg ulcers: principle, technique, and calculation of spectroscopic wound scores. J Invest Dermatol 2001;116:531–5.
Kulcke A. Device and method for recording a hyperspectral image. European patent EP2851662A2.
Kulcke A, Holmer A, Wahl P, Siemers F, Wild T, Daeschlein G. A compact hyperspectral camera for measurement of perfusion parameters in medicine. Biomed Tech (Berl) 2018. pii: /j/bmte.ahead-of-print/bmt-2017-0145/bmt-2017-0145.xml. doi: 10.1515/bmt-2017-0145. [Epub ahead of print].
Myers D, McGraw M, George M, Mulier K, Beilman G. Tissue hemoglobin index: a non-invasive optical measure of total tissue hemoglobin. Critical Care (London, England) 2009;13(Suppl. 5):S2.
Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet (London, England) 1986;1:307–10.
Gioux S, Mazhar A, Lee BT, Lin SJ, Tobias AM, Cuccia DJ, et al. First-in-human pilot study of a spatial frequency domain oxygenation imaging system. J Biomed Opt 2011;16:86015.
Hyttel-Sorensen S, Kleiser S, Wolf M, Greisen G. Calibration of a prototype NIRS oximeter against two commercial devices on a blood-lipid phantom. Biomed Opt Express 2013;4:1662–72.