Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/107298
Título: Assessment of Registration Methods for Thermal Infrared and Visible Images for Diabetic Foot Monitoring
Autores/as: González-Pérez, Sara
Perea Ström, Daniel
Arteaga-Marrero, Natalia
Luque, Carlos
Sidrach-Cardona, Ignacio
Villa, Enrique
Ruiz Alzola, Juan Bautista 
Clasificación UNESCO: 32 Ciencias médicas
3314 Tecnología médica
Palabras clave: Registration
Medical imaging
Thermography
Diabetic foot
ICP, et al.
Fecha de publicación: 2021
Publicación seriada: Sensors (Switzerland) 
Resumen: This work presents a revision of four different registration methods for thermal infrared and visible images captured by a camera-based prototype for the remote monitoring of diabetic foot. This prototype uses low cost and off-the-shelf available sensors in thermal infrared and visible spectra. Four different methods (Geometric Optical Translation, Homography, Iterative Closest Point, and Affine transform with Gradient Descent) have been implemented and analyzed for the registration of images obtained from both sensors. All four algorithms’ performances were evaluated using the Simultaneous Truth and Performance Level Estimation (STAPLE) together with several overlap benchmarks as the Dice coefficient and the Jaccard index. The performance of the four methods has been analyzed with the subject at a fixed focal plane and also in the vicinity of this plane. The four registration algorithms provide suitable results both at the focal plane as well as outside of it within 50 mm margin. The obtained Dice coefficients are greater than 0.950 in all scenarios, well within the margins required for the application at hand. A discussion of the obtained results under different distances is presented along with an evaluation of its robustness under changing conditions.
URI: http://hdl.handle.net/10553/107298
ISSN: 1424-8220
DOI: 10.3390/s21072264
Fuente: Sensors (Switzerland) [ISSN 1424-8220], v. 21(7), 2264, (Marzo 2021)
Colección:Artículos
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