A model of mammography image processing for microcalcifications clusters detection / Modelo de processamento de imagens mamográficas para detecção de agrupamentos de microcalcificações.

AUTOR(ES)
DATA DE PUBLICAÇÃO

2009

RESUMO

The main purpose of this project was to develop a new model for the detection of microcalcifications clusters for image processing in full mammograms. The model was subdivided in three stages being in the first accomplished a pre-processing for the improvement of the quality of the mammographic images through the removal of noise and contrast enlargement. In the second stage of the processing, a group of algorithms was applied being sought the detection properly said of regions of interest (ROIs) in the images which possibly would represent the microcalcifications clusters. The third stage was destined to the classification of the pre-selected areas in the previous stage for the final determination of the true-positive findies (TP), being looked for, like this, the decrease of the rate of false-positive (FP) ones. In each stage of the development of the model, computational tests was accomplished in order to analyze the preliminary results. Finally, several computational tests was accomplished in three groups of images with different compositions being the first formed by ROIs of phantoms, the second by ROIs of mammograms and the third for full mammograms. Is proposed too the integration of the techniques proposed to the CAD scheme in development for the group of research of LAPIMO (Laboratory of Analysis and Processing of Medical and Ophthalmology Images) of the University of São Paulo, São Carlos of the present institute.

ASSUNTO(S)

modelos matemáticos mamografia detecção de clusters de microcalcificações mamárias processamento de imagens mammography microcalcifications clusters detection image processing mathematical models

ACESSO AO ARTIGO

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