Computerized segmentation and measurement of chronic wound images

Computers in Biology and Medicine
Mohammad Faizal Ahmad FauziMetin N Gurcan

Abstract

An estimated 6.5 million patients in the United States are affected by chronic wounds, with more than US$25 billion and countless hours spent annually for all aspects of chronic wound care. There is a need for an intelligent software tool to analyze wound images, characterize wound tissue composition, measure wound size, and monitor changes in wound in between visits. Performed manually, this process is very time-consuming and subject to intra- and inter-reader variability. In this work, our objective is to develop methods to segment, measure and characterize clinically presented chronic wounds from photographic images. The first step of our method is to generate a Red-Yellow-Black-White (RYKW) probability map, which then guides the segmentation process using either optimal thresholding or region growing. The red, yellow and black probability maps are designed to handle the granulation, slough and eschar tissues, respectively; while the white probability map is to detect the white label card for measurement calibration purposes. The innovative aspects of this work include defining a four-dimensional probability map specific to wound characteristics, a computationally efficient method to segment wound images utilizing the probab...Continue Reading

References

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Oct 15, 2009·IEEE Transactions on Medical Imaging·Francisco VeredasLaura Morente
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Jun 22, 2012·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Myriam OgerMetin N Gurcan

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Citations

Jan 11, 2017·Journal of Clinical Nursing·Dan Li, Carol Mathews
Aug 14, 2018·Wound Repair and Regeneration : Official Publication of the Wound Healing Society [and] the European Tissue Repair Society·Rodolfo H Silva, Alexei M C Machado
Jul 13, 2017·Current Medicinal Chemistry·Marieke Haalboom
Sep 10, 2019·The International Journal of Lower Extremity Wounds·Xuya LuZhaohui Zhang
Dec 16, 2017·Journal of Wound Care·P C B KhongC C Goh
Jun 28, 2018·Medical & Biological Engineering & Computing·Begoña García-ZapirainAdel S Elmaghraby
Aug 16, 2016·Journal of Medical Systems·Dhiraj Manohar DhaneChandan Chakraborty
Oct 11, 2019·Journal of Wound Care·Norihiko OhuraAkihiko Takushima
Dec 16, 2020·Scientific Reports·Chuanbo WangZeyun Yu
May 19, 2021·Surgical Technology International·Scott StratmanRobert S Kirsner
Sep 22, 2021·Advances in Wound Care·D M AnisuzzamanZeyun Yu

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