Support System for Semiautomatic Quantification of Pulmonary Fibrosis in CT Images
DOI:
https://doi.org/10.17488/RMIB.38.1.11Keywords:
Pulmonar Fibrosis Estimation, Computed Tomography, Chan-Vese, Medical Image SegmentationAbstract
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 region 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.Downloads
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Copyright (c) 2017 D E Rodríguez Obregón, A R Mejía Rodríguez, G Dorantes Méndez, E R Arce Santana, S Charleston Villalobos, M Mejía Ávila, H Mateos Toledo, R González Camarena, A T Aljama Corrales
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