Método automático para la detección de quistes en el cerebro de cerdos a partir de imágenes de resonancia magnética
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The 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.