Examinando por Materia "Fibrosis"
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- PublicaciónSólo datosA new method for detecting brain fibrosis in microscopy images using the neurocysticercosis pig model(Proceedings of SPIE - The International Society for Optical Engineering, 2020-08-24) Forero, Manuel G.; Lozano, Juan J.; Baquedano, Laura E.; Bustos, Javier A.; García, H. H.Neurocysticercosis (NCC) is considered a major cause of acquired epilepsy in most developing countries. Humans and pigs acquire cysticercosis ingesting T. solium eggs by the fecal-oral route. After ingestion, oncospheres disperse throughout the body producing cysts mainly in the central nervous system and striated muscles. The treatment is focused on antiparasitic, anti-inflammatory, and antiepileptic drugs; however, new drugs are being studied in animal models recently. The aim of this study was to perform histological image analysis of pig brains with NCC after antiparasitic treatment to develop future tools to study brain inflammation since usually the evaluation of fibrosis is obtained manually on microscopy images in a long, inaccurate, poorly reproducible, and tedious process. For this purpose, the slides of pig brains with NCC were stained with Masson's Trichrome, and high quality photographic images were taken. Then, image processing and machine learning were performed to detect the presence and extension of collagen fibers around the cyst as markers of fibrosis. The process includes the use of color normalization and probabilistic classification implemented in Java language as a plugin to the free access program ImageJ. This paper presents a new method to detect cerebral fibrosis, assessing the amount of fibrosis in the images with accuracy above 75% in 12 seconds. A manual editing tool allows us to raise the results above 90% faster and efficiently.
- 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.