Fiche publication
Date publication
juin 2021
Journal
Sensors (Basel, Switzerland)
Auteurs
Membres identifiés du Cancéropôle Est :
Pr DAUL Christian
,
Pr WOLF Didier
Tous les auteurs :
Bayareh Mancilla R, Tấn BP, Daul C, Gutiérrez Martínez J, Leija Salas L, Wolf D, Vera Hernández A
Lien Pubmed
Résumé
Medical infrared thermography has proven to be a complementary procedure to physiological disorders, such as the diabetic foot. However, the technique remains essentially based on 2D images that display partial anatomy. In this context, a 3D thermal model provides improved visualization and faster inspection. This paper presents a 3D reconstruction method associated with temperature information. The proposed solution is based on a Structure from Motion and Multi-view Stereo approach, exploiting a set of multimodal merged images. The infrared images were obtained by automatically processing the radiometric data to remove thermal interferences, segment the RoI, enhance false-color contrast, and for multimodal co-registration under a controlled environment and a ∆T < 2.6% between the RoI and thermal interferences. The geometric verification accuracy was 77% ± 2%. Moreover, a normalized error was adjusted per sample based on a linear model to compensate for the curvature emissivity (error ≈ 10% near to 90°). The 3D models were displayed with temperature information and interaction controls to observe any point of view. The temperature sidebar values were assigned with information retrieved only from the RoI. The results have proven the feasibility of the 3D multimodal construction to be used as a promising tool in the diagnosis of diabetic foot.
Mots clés
IR radiometric processing, Structure from Motion, developing world diagnostics, diabetic foot, infrared sensors, medical thermography, thermal 3D surface
Référence
Sensors (Basel). 2021 Jun 6;21(11):
