Multispectral imaging system for clinical assessment of superficial wound tissue oxygenation
| Autor: | Xavier Ngu, Audrey Huong, P. E. Ong, Sheena P. Philimon |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
medicine.medical_specialty Oxygen supply Multispectral data integumentary system business.industry Multispectral image Surgery 030207 dermatology & venereal diseases 03 medical and health sciences 030104 developmental biology 0302 clinical medicine Tissue oxygenation Wound dressing Medicine Tissue oxygen business Wound healing Wound treatment Biomedical engineering |
| Zdroj: | 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES). |
| DOI: | 10.1109/iecbes.2016.7843405 |
| Popis: | Sufficient tissue oxygenation is a factor that warrants fast progression of wound healing as the latter would be impeded under the condition of inappropriate oxygen supply to wound tissues. This work aims to investigate average wound tissue oxygenation value during wound healing process. We used Extended Modified Lambert Beer model to predict tissue oxygen saturation (StO2) based on spectroscopic data collected from multispectral imaging system. We recruited two healthy Asians with acute wound at different skin sites. Multispectral data were collected at each of their scheduled clinical visit starting from the commencement of wound treatment until the wound dressing is no longer required as evaluated by medical professionals. The quantification work is based on a priori knowledge of absorption coefficients of blood hemoglobin components in the wavelength range of 520–600 nm. This study observed an increase in mean StO2 value to a maximum value of 71.73±2.35% as micro-angiogenesis takes place. This value is gradually decreased to 61.87±3.54% as skin keratinized. We concluded that multispectral imaging technique and the employed quantification strategy is potentially useful as a means for noncontact and noninvasive monitoring of wound healing process, and this system may be suitable for routine clinical use. |
| Databáze: | OpenAIRE |
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