All Posts By



The reliability of a novel mobile 3-Dimensional wound measurement device

“The 3D-WM was found to be highly reliable for measuring wound areas for a range of wound sizes and types as compared to manual measurement and scaled photography. The depth and therefore volume measurement using the 3D-WM was found to have a lower ICC, but volume ICC alone was moderate. Overall this device offers an affordable mobile option for objective wound measurement in the clinical setting.”
Note: The study involves shallow diabetic foot ulcers with average depth of approx. 1mm and may not be appropriate to evaluate depth measurement. See “Discussion” on page 5.



Pilot study to evaluate a novel three-dimensional wound measurement device

This study aims to determine the accuracy of a new 3-dimensional wound measurement (3DWM) device against laser-assisted wound measurement (LAWM) devices and traditional methods of wound measurement. … (D)ata demonstrate that the 3DWM device provides an accurate and reproducible method for measuring changes in wound healing similar to other available technologies. Further, the use of the 3DWM device provides a faster and more consistent measurement, which is critical for clinical application and use.

Read More


Feasibility of 3D Stucture Sensing for accurate assessment of chronic wound dimensions

Ruler-based assessments can overestimate wound area by up to 44%. Tracing wounds using planimetry can give a better estimate of size but is time consuming and still highly variable between operators. Simple point-of-care solution that enables comprehensive 3D wound assessment on a mobile device would significantly improve the care and outcome. For this purpose we determine the feasibility of the current prototype and the implemented algorithms on phantom measurements with well know geometry in this research.

Download PDF

The Washington Post

A better way to analyze how wounds are healing

“E-Kare, a spinoff enterprise from the Children’s National Health System in the District, also uses a depth sensor that clips onto an iPad to provide 3-D images of a wound. (As of now, the app can only be used with an iPad.) The caregiver takes two sets of pictures simultaneously: the depth sensor’s images and ordinary, 2-D photos. Algorithms then analyze both sets of photos to determine the wound’s depth, area and volume.”



Mobile Wound Assessment Using Novel Computer Vision Methods

Chronic wounds affect 6.5 million patients in the US, incurring $25 billion healthcare expenditure annually. Despite the significant clinical burden, wound care is plagued by a general lack of objective evidence to guide management. The problem stems from deficiencies in wound assessment that still relies on crude visual observation. We introduce novel computer vision techniques that will pave way towards an accurate and consistent wound assessment solution.

Download PDF