In this paper, after an overview of the literature concerning the imaging technologies applied to skin wounds assessment, we present an original approach to build 3-D models of skin wounds from color images. The method can deal with uncalibrated images acquired with a handheld digital camera with free zooming. Compared with the cumbersome imaging systems already proposed, this novel solution uses a low-cost and user-friendly image acquisition device suitable for widespread application in health care centers. However, this method entails the development of a robust image processing chain. An original iterative matching scheme is used to generate a dense estimation of the surface geometry from two widely separated views. The best configuration for taking photographs lies between 15 ( degrees ) and 30 ( degrees ) for the vergency angle. The metric reconstruction of the skin wound is fully automated through self-calibration. From the 3-D model of the skin wound, accurate volumetric measurements are achieved. The accuracy of the inferred 3-D surface is validated by registration to a ground truth and repetitive tests on volume. The global precision around 3% is in accordance with the clinical requirement of 5% for assessing the healing process.

This paper is concerned with the 3D modeling of skin wound using uncalibrated vision techniques for the volumetric assessment of the healing process. We have developed an original approach for matching two color images captured with a free-handled digital camera and generate a semi-dense 3D model. We evaluate the precision of the inferred 3D model by registration to a ground truth on artificial wounds. The method is then applied to volumetric measurements. The clinician requirements of a global 5% precision are overshot as 3% is obtained locally. The best configuration for taking photos lies between 1.2 and 1.5 for distance ratios and between 15 degrees and 30 degrees for vergence of the stereo pair. This work is part of the ESCALE project dedicated to the design of a complete 3D and color wound assessment tool using a simple free handled digital camera: a smart solution for massive diffusion in care centers as such very low cost system should be operated directly by nurses.

The aim of the ESCALE project is to supply the medical staff with objective and accurate 2D and 3D measurements for wound healing assessment from color images acquired in a free manner with a low cost digital camera. The problem addressed in this paper is the volume estimation from uncalibrated views. We present two experimentations. A Monte Carlo simulation on synthetic perturbated data leads to an average error of 3% on reconstructed points. Then, triangulation based volume estimation obtained from two uncalibrated real images gives us hope that an accuracy less than 5% is achievable. So this technique is suited to accurate wound 3D measurements. Combined with true color image processing for colorimetric tissue assessment, a such low cost system will be appropriate tool for diagnosis assistance and therapy monitoring in clinical environment.

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Patients on MTT for an advanced RCC experience a decline of sexual activity. Onco-urologists should systematically inform, screen, initiate management, and refer patients to sexual medicine physicians.