Examinando por Materia "Morfología matemática"
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- 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.
- PublicaciónAcceso abiertoSeparación y conteo de células musculares en procesamiento de imágenes(Universidad de Ibagué., 2019) Urrego Gamboa, Diego Alejandro; Español Díaz, Jorge Danilo; Forero Vargas, Manuel GuillermoIn medicine and pharmacology it is common to use animal models for the development and evaluation of new medications, since, by ethics, it is not possible to cause harm or experiment with humans. However, little has been done in biomedical engineering to facilitate the work of scientists for studies on these models. In particular, a difficulty that arises in the analysis of muscle tissue is the identification and counting of cells in microscopy images of lower rat limbs. This task is usually done manually, which makes it tedious, subjective, inaccurate, not reproducible and expensive in time. For this reason, in this work a semi-automatic technique was developed based on image processing techniques that allows to accelerate the cell counting process, significantly reducing the analysis time and increasing the accuracy. An editing tool was included to correct the results obtained. For the study, images provided by the Stem Cell Laboratory of the Department of Physiology and Pathological Transplantation of the University of Milan, Italy were used. The method implemented as a tool of the ImageJ program was evaluated and compared with Ground Truth images, obtaining a reduction in time of 83%.