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Proceedings Paper

Multimodal tissue perfusion imaging using multi-spectral and thermographic imaging systems applied on clinical data
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Paper Abstract

Clinical interventions can cause changes in tissue perfusion, oxygenation or temperature. Real-time imaging of these phenomena could be useful for surgical strategy or understanding of physiological regulation mechanisms. Two noncontact imaging techniques were applied for imaging of large tissue areas: LED based multispectral imaging (MSI, 17 different wavelengths 370 nm-880 nm) and thermal imaging (7.5 to 13.5 μm). Oxygenation concentration changes were calculated using different analyzing methods. The advantages of these methods are presented for stationary and dynamic applications. Concentration calculations of chromophores in tissue require right choices of wavelengths The effects of different wavelength choices for hemoglobin concentration calculations were studied in laboratory conditions and consequently applied in clinical studies. Corrections for interferences during the clinical registrations (ambient light fluctuations, tissue movements) were performed. The wavelength dependency of the algorithms were studied and wavelength sets with the best results will be presented. The multispectral and thermal imaging systems were applied during clinical intervention studies: reperfusion of tissue flap transplantation (ENT), effectiveness of local anesthetic block and during open brain surgery in patients with epileptic seizures. The LED multispectral imaging system successfully imaged the perfusion and oxygenation changes during clinical interventions. The thermal images show local heat distributions over tissue areas as a result of changes in tissue perfusion. Multispectral imaging and thermal imaging provide complementary information and are promising techniques for real-time diagnostics of physiological processes in medicine.

Paper Details

Date Published: 13 March 2013
PDF: 8 pages
Proc. SPIE 8574, Multimodal Biomedical Imaging VIII, 85740F (13 March 2013); doi: 10.1117/12.2003823
Show Author Affiliations
John H. G. M. Klaessens, Univ. Medical Ctr. Utrecht (Netherlands)
Martin Nelisse, Univ. Medical Ctr. Utrecht (Netherlands)
Rudolf M. Verdaasdonk, Free Univ. Medical Ctr. (Netherlands)
Herke Jan Noordmans, Univ. Medical Ctr. Utrecht (Netherlands)


Published in SPIE Proceedings Vol. 8574:
Multimodal Biomedical Imaging VIII
Fred S. Azar; Xavier Intes, Editor(s)

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