DocumentCode :
1253021
Title :
Wound status evaluation using color image processing
Author :
Hansen, Gary L. ; Sparrow, Ephraim M. ; Kokate, Jaydeep Y. ; Leland, Keith J. ; Iaizzo, Paul A.
Author_Institution :
Program in Biomed. Eng., Minnesota Univ., Minneapolis, MN, USA
Volume :
16
Issue :
1
fYear :
1997
Firstpage :
78
Lastpage :
86
Abstract :
An accurate diagnosis of burns and pressure ulcers in the early stages can be made by computerized image processing. This study describes a critical assessment of potential methodologies for noninvasive wound evaluation using a color imaging system. The authors also developed a method for quantifying histological readings and applied these techniques to a porcine animal model of wound formation. Differences in calibrated hue between injured and noninjured skin provided a repeatable differentiation of wound severity for situations when the time of injury was known. This color analysis allowed statistically significant differentiation of mild, moderate, and severe injuries within 30 minutes after the application of the injury. It was more difficult to distinguish wound severity one to four days later, however the correlation re-emerged when the wounds were five to seven days old. This technique could be adapted for assessing and tracking wound severity in humans in a clinical setting.
Keywords :
image colour analysis; medical image processing; optical images; skin; 1 to 4 d; 30 min; 5 to 7 d; accurate diagnosis; burns; calibrated hue; clinical setting; color image processing; computerized image processing; histological readings; humans; injured skin; medical diagnostic imaging; mild injuries; moderate injuries; noninjured skin; potential methodologies assessment; pressure ulcers; severe injuries; wound severity tracking; wound status evaluation; Biomedical engineering; Dermis; Humans; Image color analysis; Injuries; Mechanical engineering; Medical services; Physiology; Skin; Wounds; Algorithms; Animals; Burns; Calibration; Color; Disease Models, Animal; Follow-Up Studies; Humans; Image Interpretation, Computer-Assisted; Image Processing, Computer-Assisted; Pressure Ulcer; Skin; Swine; Time Factors; Video Recording; Wound Healing;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/42.552057
Filename :
552057
Link To Document :
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