Resumen

RODRIGUEZ-OBREGON, D. E. et al. Support System for Semiautomatic Quantification of Pulmonary Fibrosis in CT Images. Rev. mex. ing. bioméd [online]. 2017, vol.38, n.1, pp.155-165. ISSN 2395-9126.  https://doi.org/10.17488/rmib.38.1.11.

A method to estimate the pulmonary fibrosis in computed tomography (CT) imaging is presented. A semi-automatic segmentation algorithm based on the Chan-Vese method was used. The proposed method shows a similar fibrosis región with respect to clinical expert. However, the results need to be validated in a bigger data base. The proposed method approximates a fibrosis percentage that allows to achieve this procedure easily in order to support its implementation in the clinical practice minimizing the clinical expert subjectivity and generating a quantitative estimation of fibrosis region.

Palabras llave : Pulmonar Fibrosis Estimation; Computed Tomography; Chan-Vese; Medical Image Segmentation.

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