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Proceedings Paper

Dual-mode quantitative imaging of wound tissue oxygenation and perfusion
Author(s): Ruogu Qin; Jiwei Huang; Jeff S. Xu; Liya Ding; Surya Gnyawali; Chandan K. Sen; Kun Huang; Ronald X. Xu
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Paper Abstract

Accurate assessment of wound oxygenation and perfusion is important for evaluating wound healing/regression and guiding following therapeutic processes. However, many existing techniques and clinical practices are subjective and qualitative due to background bias, tissue heterogeneity, and inter-patient variation. To overcome these limitations, we developed a dual-modal imaging system for in vivo, non-invasive, real-time quantitative assessment of wound tissue oxygenation and perfusion. The imaging system integrated a broadband light source, a high-resolution CCD camera, a highly sensitive thermal camera, and a liquid crystal tunable filter. A user-friendly interface was developed to control all the components systematically. Advanced algorithms were explored for reliable reconstruction of tissue oxygenation and appropriate co-registration between thermal images and multispectral images. Dual-mode oxygenation and perfusion imaging was demonstrated on both benchtop models and human subjects, and compared with measurements using other methods, such as Laser Doppler and tissue oximeter. The test results suggested that the dual-modal imaging system has the potential for non-contact real-time imaging of wound tissue oxygenation and perfusion.

Paper Details

Date Published: 23 February 2010
PDF: 9 pages
Proc. SPIE 7557, Multimodal Biomedical Imaging V, 75570J (23 February 2010); doi: 10.1117/12.842010
Show Author Affiliations
Ruogu Qin, The Ohio State Univ. (United States)
Jiwei Huang, The Ohio State Univ. (United States)
Jeff S. Xu, The Ohio State Univ. (United States)
Liya Ding, The Ohio State Univ. (United States)
Surya Gnyawali, The Ohio State Univ. (United States)
Chandan K. Sen, The Ohio State Univ. (United States)
Kun Huang, The Ohio State Univ. (United States)
Ronald X. Xu, The Ohio State Univ. (United States)


Published in SPIE Proceedings Vol. 7557:
Multimodal Biomedical Imaging V
Fred S. Azar; Xavier Intes, Editor(s)

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