Browsing by Author "Morocho, Villie"

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Clinical validation of footprint analysis using the low cost Photo-podoscope JHECA NAWE
(Universidad de Cuenca, 2014) La Cruz, Alexandra; Zeas P., Ana L.; Quishpi M., Estefanía A.; Campoverde V., Johanna L.; Guamán B., Heydi K.; Morocho, Villie; Universidad de Cuenca; Dirección de Investigación de la Universidad de Cuenca; DIUC
A photo-podoscope is a useful tool for assessing a footprint; it is performed by observing the supporting areas of the foot in standing position. This evaluation and diagnosis generally is made by a specialist, and without leaving medical evidence for future comparisons. Generally, this evaluation is made based on the form of the footprint by using a traditional podoscope or rudimentary process which carries several disadvantages. We present, a medical alternative equipment called JHECA NAWE photo-podoscope. This equipment allows assessment of a footprint in a fast an effective way with accurate diagnoses, including a record for future evaluations. Commercial equipment is expensive, reason why medical specialists prefer to use rudimentary processes. In order to evaluate clinically the effectiveness of JHECA NAWE, we analyzed a cross-sectional of attended patients by using this equipment in comparison with different medical specialist opinion.
Level-set segmentation of footprint images aimed at insole design
(Institute of Electrical and Electronics Engineers Inc., 2018) Medina, Rubén; Zeas Puga, Ana Lucía; Morocho, Villie; Bautista Llivisaca, Mateo Sebastian; Medina, Rubén
Chronic foot pain is a disease that progresses with age and has a high prevalence. Therapeutic procedures include the utilization of orthoses or insoles that are placed inside the footwear. Design of personalized insoles is a process that includes several stages. An important stage is the acquisition and analysis of footprint images. Their segmentation enables quantification of the footprint shape by estimating several indices that allow classification and diagnosis of foot morphology abnormalities. A segmentation method for footprint images using Level-Set algorithms is reported. Two area based Level-Set segmentation algorithms were applied. The first is the Chan-Vese algorithm using a global minimizer. The second is the Lankton algorithm that implements the Chan-Vese energy function using a localized minimizer and the Sparse Field Method for reducing the computational cost. Algorithms tested are accurate for segmenting the footprint images, providing an average Dice coefficient higher than 0.93. The Lankton algorithm is robust with respect to spatial variation in intensities within the footprint shape. It is also fast as the average time for segmenting one image is only 6.4 seconds
Validación de un algoritmo robusto para la estimación del movimiento en secuencias de imágenes cardiacas
(Universidad de Cuenca, 2015) Medina, Rubén; Ibarra, Emiro; Morocho, Villie; Vanegas, Pablo; Universidad de Cuenca; Dirección de Investigación de la Universidad de Cuenca; DIUC
This paper describes the validation of a sparse based optical flow algorithm using two sequences extracted from the Sintel database and also images extracted from a tagged magnetic resonance image sequence representing a short–axis slice located at the mid-wall of the left ventricle. Results are promising as the average magnitude error for the Sintel sequences is lower than 3 pixels and lower than 1 mm for the tagged MRI.