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The corpus callosum is a structure of white matter connecting the two cerebral hemispheres and is located at the bottom of the longitudinal fissure of the brain. In order to complement the understanding of this important structure of the nervous system in our population, we determined various biometric parameters, which included its location in relation to the anterior and posterior margins of the cerebral hemispheres, length, thickness at various levels, among other variables. To do this, we used 20 fresh brains of adult individuals which the medial aspect of the hemispheres was photographed, and were accompanied with a ruler before you get the picture, with the aim of working on the image and thus record the planned variables. The average distance obtained between the most prominent part of the knee of the corpus callosum and the anterior margin of the cerebral hemisphere was 35.4 mm and among the most prominent part of the splenium and the posterior margin of cerebral hemisphere was 52.8 mm. Anteroposterior length of the corpus callosum was on average 88.2 mm, the average antero-posterior diameter from the middle of the knee was 13.2 mm and that of the middle part of splenius 15.7 ram. The data obtained contribute to the biometric and morphological knowledge of this important commissural structure in our population group. [ABSTRACT FROM AUTHOR]

This paper introduces a device for the gait kinematic analysis. It is based on videogrametry methods and image processing in order to record the human movement. It was used a digital camcorder, located to a distance of four meters from the person, capturing its gait in the sagital plane. Also, a kinematic model was developed of lower limbs; this model takes the position data of the bony landmarks and calculates the joint angle of the hip, knee and ankle, besides the pelvic tilt during gait. The identification and tracking of the points was carried out by a special reflective coated in the superficial markers. Later, it was designed and developed an algorithm in order to record and process the data gathered, through of the camcorder in the develop language C# .NET. The application developed captures and processes the video, tracking every marker in the frame, applies the kinematic model and shows the graph of the joint angle during gait. Finally, a protocol was designed and a test was carried out with a person in order to compare the data gathered for the software and the theoretical data described in the literature. In spite of the limitations of the system related to gait bidimensional analysis, articular curves very similar to those theoretical were obtained with commercial methods for the tridimensional movement analysis. [ABSTRACT FROM AUTHOR]