Wound size measurement of lower extremity ulcers using segmentation algorithms

Arash Dadkhah; Xing Pang; Elizabeth Solis; Ruogu Fang; Anuradha Godavarty

doi:10.1117/12.2212046

7 March 2016 Wound size measurement of lower extremity ulcers using segmentation algorithms

Arash Dadkhah, Xing Pang, Elizabeth Solis, Ruogu Fang, Anuradha Godavarty

Author Affiliations +

Proceedings Volume 9703, Optical Biopsy XIV: Toward Real-Time Spectroscopic Imaging and Diagnosis; 97031D (2016) https://doi.org/10.1117/12.2212046
Event: SPIE BiOS, 2016, San Francisco, California, United States

Abstract

Lower extremity ulcers are one of the most common complications that not only affect many people around the world but also have huge impact on economy since a large amount of resources are spent for treatment and prevention of the diseases. Clinical studies have shown that reduction in the wound size of 40% within 4 weeks is an acceptable progress in the healing process. Quantification of the wound size plays a crucial role in assessing the extent of healing and determining the treatment process. To date, wound healing is visually inspected and the wound size is measured from surface images. The extent of wound healing internally may vary from the surface. A near-infrared (NIR) optical imaging approach has been developed for non-contact imaging of wounds internally and differentiating healing from non-healing wounds. Herein, quantitative wound size measurements from NIR and white light images are estimated using a graph cuts and region growing image segmentation algorithms. The extent of the wound healing from NIR imaging of lower extremity ulcers in diabetic subjects are quantified and compared across NIR and white light images. NIR imaging and wound size measurements can play a significant role in potentially predicting the extent of internal healing, thus allowing better treatment plans when implemented for periodic imaging in future.

Conference Presentation

Citation Download Citation

Arash Dadkhah, Xing Pang, Elizabeth Solis, Ruogu Fang, and Anuradha Godavarty "Wound size measurement of lower extremity ulcers using segmentation algorithms", Proc. SPIE 9703, Optical Biopsy XIV: Toward Real-Time Spectroscopic Imaging and Diagnosis, 97031D (7 March 2016); https://doi.org/10.1117/12.2212046

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