Analysis of cardiac autonomic modulation in obese and eutrophic children

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Disposable immunosensor for human cardiac troponin T based on streptavidin-microsphere modified screen-printed electrode

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Tridimensional modeling of the cardiac wall

The advance in the graphic computer's techniques and computer's capacity of processing made possible applications like the human anatomic structures modeling, in order to investigate diseases, surgical planning or even provide images for training of Computer Aided Diagnosis (CAD). On this context, this work exhibits an anatomical model of cardiac structures represented in a tridimensional environment. The model was represented with geometrical elements and has anatomical details, as the different tunics that compose the cardiac wall and measures that preserves the characteristics found on real structures. The validation of the anatomical model was made through quantitative comparations with real structures measures, available on specialized literature. The results obtained, evaluated by two specialists, are compatible with real anatomies, respecting the anatomical particularities. This degree of representation will allow the verification of the influence of radiological parameters, morphometric peculiarities and stage of the cardiac diseases on the quality of the images, as well as on the performance of the CAD. © 2010 IEEE.

Automatic segmentation of digital images applied in cardiac medical images

The digital image processing has been applied in several areas, especially where it is necessary use tools for feature extraction and to get patterns of the studied images. In an initial stage, the segmentation is used to separate the image in parts that represents a interest object, that may be used in a specific study. There are several methods that intends to perform such task, but is difficult to find a method that can easily adapt to different type of images, that often are very complex or specific. To resolve this problem, this project aims to presents a adaptable segmentation method, that can be applied to different type of images, providing an better segmentation. The proposed method is based in a model of automatic multilevel thresholding and considers techniques of group histogram quantization, analysis of the histogram slope percentage and calculation of maximum entropy to define the threshold. The technique was applied to segment the cell core and potential rejection of tissue in myocardial images of biopsies from cardiac transplant. The results are significant in comparison with those provided by one of the best known segmentation methods available in the literature. © 2010 IEEE.

Pediatric Perioperative Cardiac Arrest and Mortality: A Study From a Tertiary Teaching Hospital

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)