An Automatic Assessment System of Diabetic Foot Ulcers Based on Wound Area Determination, Color Segmentation, and Healing Score Evaluation

Journal of Diabetes Science and Technology

Volumn 10, Issue 2, 2016, Pages 421-428

  Wang, Lei ^a   Pedersen, Peder C ^a   Strong, Diane M ^b   Tulu, Bengisu ^b   Agu, Emmanuel ^c   Ignotz, Ron ^d   He, Qian ^c  

^a Worcester Polytechnic Institute   (United States)

^b WORCESTER POLYTECHNIC INSTITUTE   (United States)

^c Worcester Polytechnic Institute   (United States)

^d UNIVERSITY OF MASSACHUSETTS MEDICAL SCHOOL   (United States)

Author keywords

clinical validation of wound assessment; diabetic foot ulcer; healing score; tele medicine; wound image analysis

Indexed keywords

ALGORITHM; ARTICLE; CLINICAL EVALUATION; CRONBACH ALPHA COEFFICIENT; DIABETIC FOOT; HEALING SCORE; HUMAN; IMAGE ANALYSIS; MEDICAL SCHOOL; MICROBIAL CONTAMINATION; MORPHOLOGY; PERFORMANCE; QUANTITATIVE ANALYSIS; SCORING SYSTEM; SKIN COLOR; TELEMEDICINE; VALIDATION PROCESS; WOUND ASSESSMENT; WOUND CARE; WOUND HEALING; ADULT; AUTOMATION; COLOR; COMPLICATION; DEVICES; FEMALE; IMAGE PROCESSING; MALE; NON INSULIN DEPENDENT DIABETES MELLITUS; PATHOLOGY; PROCEDURES; SEVERITY OF ILLNESS INDEX; SMARTPHONE;

ADULT; ALGORITHMS; AUTOMATION; COLOR; DIABETES MELLITUS, TYPE 2; DIABETIC FOOT; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; SEVERITY OF ILLNESS INDEX; SMARTPHONE; TELEMEDICINE; WOUND HEALING;

EID: 85009242643     PISSN: None     EISSN: 19322968     Source Type: Journal    
DOI: 10.1177/1932296815599004     Document Type: Article

References (18)

1. Wannous H, Treuillet S, Lucas Y., Robust tissue classification for reproducible wound assessment in telemedicine environment. J Electron Imaging. 2010; 19 (2): 023002.
2. Malian A, Azizi A, Van den Heuvel FA, Zolfaghari M., Development of a robust photogrammetric metrology system for monitoring the healing of bedscores. Photogrammetric Record. 2005; 20 (111): 241-273.
3. Veredas F, Mesa H, Morente L., Binary tissue classification on wound images with neural networks and Bayesian classifiers. IEEE Trans Med Imaging. 2010; 29 (2): 410-427.
4. Plassman P, Jones TD., MAVIS: A non-invasive instrument to measure area and volume of wounds. Med Eng Phys. 1998; 20 (5): 332-338.
5. Plassmann P, Jones TD., Improved active contour model with application to measurement of leg ulcers. J Electron Imaging. 2003; 12 (2): 317-326.
6. Wang L, Pedersen PC, Strong DM, Tulu B, Agu E, Ignotz R., Smartphone-based wound assessment system for patients with diabetes. IEEE Trans Biomed Engineer. 2015; 62 (2): 477-487.
7. Comaniciu D, Meer P., Mean shift: a robust approach toward feature space analysis. IEEE Trans Pattern Anal Machine Intel. 2002; 24 (5): 603-619.
8. Christoudias CM, Georgescu B, Meer P., Synergism in low level vision. IEEE Proc 16th Internat Conf Pattern Recog. 2002; 4: 150-155.
9. Chang F, Chen CJ., A component-labeling algorithm using contour tracing technique. Computer Vision, Graphics, and Image Processing: Image Understanding. 2004; 93 (2): 206-220.
10. Harris C, Stephens M,. A combined corner and edge detector. Proc 4th Alvey Vision Conf. 1998: 147-151.
11. Gonzalez RC., Digital Image Processing. 3rd ed. Upper Saddle River, NJ: Prentice Hall; 2008.
12. Kransner D., Wound care how to use the red-yellow-black system. Am J Nursing. 1995; 95 (5): 44-47.
13. Lazebnik S, Schmid C, Ponce J., Beyond bags of features: spatial pyramid matching for recognizing natural scene categories. Proc IEEE Conf Computer Vision Pattern Recog. 2006; 2: 2169-2178.
14. Hartigan JA, Wong MA., Algorithm AS 136: a K-mean clustering algorithm. J Royal Stat Soc C. 1979; 28 (1): 100-108.
15. Matthews BW., Comparison of the predicted and observed secondary structure of T4 phage lysozyme. J Biochimica et Biophysica Acta (BBA)-Protein Structure. 1975; 405 (2): 442-451.
16. Hayes AF, Krippendorff K., Answering the call for a standard reliability measure for coding data. J Communication Methods Measures. 2007; 1 (1): 77-89.
17. Wunderlich RP, Peters EJG, Armstrong DG, Lavery LA., Reliability of digital videometry and acetate tracing in measuring the surface area of cutaneous wounds. J Diabetes Res Clin Pract. 2000; 49 (2-3): 87-92.
18. Rogers LC, Bevilacqua NJ, Armstrong DG, Andros G., Digital planimetry results in more accurate wound measurements: a comparison to standard ruler measurements. J Diabetes Sci Technol. 2010; 4 (4): 800-802.