Segmentation of Plantar Foot Thermal Images Using Prior Information.

Diabetic foot (DF) complications are associated with temperature variations. The occurrence of DF ulceration could be reduced by using a contactless thermal camera. The aim of our study is to provide a decision support tool for the prevention of DF ulcers. Thus, the segmentation of the plantar foot in thermal images is a challenging step for a non-constraining acquisition protocol. This paper presents a new segmentation method for plantar foot thermal images. This method is designed to include five pieces of prior information regarding the aforementioned images. First, a new energy term is added to the snake of Kass et al. in order to force its curvature to match that of the prior shape, which has a known form. Second, we defined the initial contour as the downsized prior-shape contour, which is placed inside the plantar foot surface in a vertical orientation. This choice makes the snake avoid strong false boundaries present outside the plantar region when evolving. As a result, the snake produces a smooth contour that rapidly converges to the true boundaries of the foot. The proposed method is compared to two classical prior-shape snake methods, that of Ahmed et al. and that of Chen et al. A database of 50 plantar foot thermal images was processed. The results show that the proposed method outperforms the previous two methods with a root-mean-square error of 5.12 pixels and a dice similarity coefficient of 94%. The segmentation of the plantar foot regions in the thermal images helped us to assess the point-to-point temperature differences between the two feet in order to detect hyperthermia regions. The presence of such regions is the pre-sign of ulcers in the diabetic foot. Furthermore, our method was applied to hyperthermia detection to illustrate the promising potential of thermography in the case of the diabetic foot. Associated with a friendly acquisition protocol, the proposed segmentation method is the first step for a future mobile smartphone-based plantar foot thermal analysis for diabetic foot patients.

Use of an image restoration process to improve spatial resolution in bioluminescence imaging.

To improve spatial resolution in in vivo bioluminescence imaging, a photon scattering correction, image restoration method was tested. The chosen algorithm was tested on in vivo bioluminescent images acquired on three representative tumor models: subcutaneous, pulmonary, and disseminated peritoneal. Tumor size was chosen as a quantitative criterion, such that the tumor reference measurements (determined photographically or by computed tomography) were compared to those derived from bioluminescent images, before and after restoration. This technique allowed a significant reduction to be achieved in the relative error between reference measurements and dimensions derived from bioluminescent images. In addition, improved delineation of the tumor foci was achieved. The restoration method allows spatial resolution in bioluminescence imaging to be improved, with interesting perspectives in terms of staging and quantitation in experimental oncology.