Mobile based wound measurement

This paper proposes a portable wound area measurement method based on the segmentation of digital images. Its objective is to provide a practical, fast and non-invasive technique for medical staff to monitor the healing process of chronic wounds. Segmentation is based on active contour models which identifies the wound border irrespective of coloration and shape. The initial segmentation can also be modified by the user, providing higher control and accuracy. Area measurements are further normalized to remove effects of camera distance and angle. The application has been implemented for the Android platform version 2.2 with a prototype model running on Samsung Galaxy Tab. The results to evaluate the efficacy of the application have been encouraging with an accuracy level of 90%.

[1]  Peter Plassmann,et al.  Recording wound care effectiveness. , 2002, Journal of tissue viability.

[2]  K. Lai On Regularization , Formulation and Initialization of theActive Contour Models ( Snakes ) , 2007 .

[3]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[4]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[5]  直樹 武川,et al.  Regularization , 2019, Encyclopedia of Continuum Mechanics.

[6]  Martin R. Stytz,et al.  Image technique for wound assessment , 1995, Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society.

[7]  Stephen Sprigle,et al.  Clinical Usability of a Wound Measurement Device , 2010 .

[8]  V. Aslantas,et al.  Differential Evolution Algorithm For Segmentation Of Wound Images , 2007, 2007 IEEE International Symposium on Intelligent Signal Processing.

[9]  A R Feinstein,et al.  An additional basic science for clinical medicine: IV. The development of clinimetrics. , 1983, Annals of internal medicine.

[10]  Mark G. Duckworth,et al.  A Clinically Affordable Non-Contact Wound Measurement Device , 2007 .

[11]  C. Bulstrode,et al.  Stereophotogrammetry for measuring rates of cutaneous healing: a comparison with conventional techniques. , 1986, Clinical science.

[12]  Tim D. Jones,et al.  An active contour model for measuring the area of leg ulcers , 2000, IEEE Transactions on Medical Imaging.