Examinando por Materia "Neurocisticercosis"
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- PublicaciónAcceso abiertoDetección de fibrosis aledaña a quistes producidos por neurocisticercosis mediante técnicas de procesamiento de imágenes(Universidad de Ibagué., 2019) Betancourt Lozano, Juan José; Forero Vargas, Manuel G.This project is part of a research carried out at the Cayetano Heredia Peruvian University in order to evaluate the post-treatment of the intermediaries of the disease known as neurocysticercosis. The project seeks to detect fibrosis adjacent to brain cysts produced by this condition in RGB images of brain cuts 5um thick. The techniques evaluated are methods that are used in the literature for the detection of both fibrosis and objects in images. When implementing and analyzing the techniques used, the results evaluation process is carried out to observe the method that achieves a higher value of fibrosis in the image without counting the rest of the objects that can be versed in the images. In addition, use fibrosis detection methods in a crocodile identification problem, looking to see if the techniques used are reproducible and can contribute to other research problems. On the other hand, to satisfy a need of the scientific population that studies the crocodiles individually and that, in order to identify them, uses techniques that can put the integrity of the researcher and the specimen studied at risk.
- PublicaciónAcceso abiertoMétodo automático para la detección de quistes en el cerebro de cerdos a partir de imágenes de resonancia magnética(Universidad de Ibagué., 2019) Hatty Ramírez, Luisa María; Barragán Aya, Yesid Armando; Forero Vargas, Manuel GuillermoThe digital processing of images applied to the biomedical area has become an indispensable tool for better medical information extracting, assisting reliable diagnosis. Neurocysticercosis is an infectious disease known to cause the presence of cysts in the brain. The most frequent symptoms are convulsions and headache. The study of drugs to combat this disease is carried out on animal models such as pigs, given that for ethical reasons it is not originally possible to do it on human being. Normally, the study is done on microscopic images of different cuts of the brain of the animal. Recently, the use of magnetic resonance imaging has been proposed for study, but the analysis is generally complex due to unwanted pig movements, which does not allow high-resolution acquisitions. Currently, there is no method that allows a quick and efficient analysis from the magnetic resonance images of the pig's head in order to obtain valuable information to prove the effectiveness of medicines in the treatment of this disease; thus the analyses are performed manually, which takes a great amount of effort and time. Hence the importance of designing a method based on image processing techniques to identify the amount of cysts presents in the brain and its volume to evaluate the effectiveness of the treatment. Thus, this work describes the method developed in Java programming language applied to the free image processing software ImageJ to obtain the number and volume of cysts.