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Wound perimeter, area, and volume measurement based on laser 3D and color acquisition

Overview of attention for article published in BioMedical Engineering OnLine, April 2015
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Title
Wound perimeter, area, and volume measurement based on laser 3D and color acquisition
Published in
BioMedical Engineering OnLine, April 2015
DOI 10.1186/s12938-015-0031-7
Pubmed ID
Authors

Urban Pavlovčič, Janez Diaci, Janez Možina, Matija Jezeršek

Abstract

Wound measuring serves medical personnel as a tool to assess the effectiveness of a therapy and predict its outcome. Clinically used methods vary from measuring using rules and calipers to sophisticated methods, based on 3D measuring. Our method combines the added value of 3D measuring and well-known segmentation algorithms to enable volume calculation and achieve reliable and operator-independent analysis, as we demonstrate in the paper. Developed 3D measuring system is based on laser triangulation with simultaneous color acquisition. Wound shape analysis is based on the edge-determination, virtual healthy skin approximation over the wound and perimeter, area, and volume calculation. In order to validate the approach, eight operators analyzed four different wounds using proposed method. Measuring bias was assessed by comparing measured values with expected values on an artificially modeled set of wounds. Results indicate that the perimeter, area, and volume are measured with a repeatability of 2.5 mm, 12 mm(2), and 30 mm(3), respectively, and with a measuring bias of -0.2 mm, -8.6 mm(2), 24 mm(3), respectively. According to the results of verification and the fact that typical wound analysis takes 20 seconds, the method for wound shape measurement can be clinically used as a precise tool for objectively monitoring the wound healing based on measuring its 3D shape and color.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 1%
Unknown 72 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 16%
Student > Master 8 11%
Student > Doctoral Student 8 11%
Student > Ph. D. Student 7 10%
Other 6 8%
Other 16 22%
Unknown 16 22%
Readers by discipline Count As %
Medicine and Dentistry 15 21%
Computer Science 10 14%
Nursing and Health Professions 7 10%
Engineering 7 10%
Social Sciences 2 3%
Other 13 18%
Unknown 19 26%