We propose an intelligent computational technique for the image segmentation of a type IV brain tumor, identified as multiform glioblastoma (MGB), which is present in multi-layer computed tomography images. This technique consists of 3 stages developed in the three-dimensional domain. They are: pre-processing, segmentation and validation. During the validation stage, the Dice coefficient (Dc) is considered in order to compare the segmentations of the MGB, obtained automatically, with the segmentations of the MGB generated manually, by a ...

En este artículo se presenta el estudio del cerebro y otras aplicaciones clínicas mediante las herramientas de navegación de la realidad virtual (RV), la capacidad de captar la interacción real por medio de imágenes en 3D, proyectadas a través de un neuronavegador, entendiéndose por neuronavegación a la producción de imágenes por medio de un programa que sirva como herramienta diagnóstica o terapéutica en neurocirugía u otras áreas médico-quirúrgicas, basándose en un sistema informático que permite visualizar y dar seguimiento mediante un ...

The objective of this research was to analyze the effects of an intervention program through neurofeedback, on the cognitive performance in children with inattention indicators. A quasi-experimental pretest-posttest study was used under a positivist epistemology, with a comparative analysis for each evaluated cognitive process. A sample of 29 cases was intentionally selected from a group of children and young adolescents with low performance indicators from a Therapeutic Center from Cucuta-Colombia. The neurofeedback program was developed ...

En el presente artículo se da a conocer el estado del arte relativo al desarrollo de interfaz gráfica de usuario para la integración de técnicas de procesamiento de imágenes y operadores basados en máquinas inteligentes, orientada a la construcción de enfoques computacionales útiles en la rutina clínica y/o en la investigación relacionada con el diagnóstico de neoplasias malignas en el sistema gastrointestinal. Para ello, inicialmente se contextualiza a través de una fundamentación teórica la interfaz gráfica en el contexto de las imágenes médicas, ...

This paper proposes a non-linear computational technique for the segmentation of epidural hematomas (EDH), present in 7 multilayer computed tomography brain imaging databases. This technique consists of 3 stages developed in the three-dimensional domain, namely: pre-processing, segmentation and quantification of the volume occupied by each of the segmented EDHs. To make value judgments about the performance of the proposed technique, the EDH dilated segmentations, obtained automatically, and the EDH segmentations, generated manually by ...

Through this work we propose a computational technique for the segmentation of a brain tumor, identified as low grade glioma (LGG), specifically grade II astrocytoma, which is present in magnetic resonance images (MRI). This technique consists of 3 stages developed in the three-dimensional domain. They are: pre-processing, segmentation and postprocessing. The percent relative error (PrE) is considered to compare the segmentations of the LGG, generated by a neuro- oncologist manually, with the dilated segmentations of the LGG, obtained ...

This work evaluates the performance of computational methods aimed at volume generation of five intracerebral hematomas (ICH), present in multi-layer computed tomography images, by means of three complementary steps. First. A ground truth volume or reference volume (RV) is considered. This RV is obtained, by a neurosurgeon, using the manual planimetric method (MPM). In a second step, the volumetry of the 5 ICH’s is obtained considering both the original version of the ABC/2 method and two of its variants, identified in this paper as ABC/3 ...