Comput Methods Programs Biomed - A novel method for pulmonary embolism detection in CTA images.

Tópicos

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Resumo

In this paper, we propose a new computer-aided detection (CAD) - based method to detect pulmonary embolism (PE) in computed tomography angiography images (CTAI). Since lung vessel segmentation is the main objective to provide high sensitivity in PE detection, this method performs accurate lung vessel segmentation. To concatenate clogged vessels due to PEs, the starting region of PEs and some reference points (RPs) are determined. These RPs are detected according to the fixed anatomical structures. After lung vessel tree is segmented, the region, intensity, and size of PEs are used to distinguish them. We used the data sets that have heart disease or abnormal tissues because of lung disease except PE in this work. According to the results, 428 of 450 PEs, labeled by the radiologists from 33 patients, have been detected. The sensitivity of the developed system is 95.1% at 14.4 false positive per data set (FP/ds). With this performance, the proposed CAD system is found quite useful to use as a second reader by the radiologists.

Resumo Limpo

paper propos new computeraid detect cad base method detect pulmonari embol pe comput tomographi angiographi imag ctai sinc lung vessel segment main object provid high sensit pe detect method perform accur lung vessel segment concaten clog vessel due pes start region pes refer point rps determin rps detect accord fix anatom structur lung vessel tree segment region intens size pes use distinguish use data set heart diseas abnorm tissu lung diseas except pe work accord result pes label radiologist patient detect sensit develop system fals posit per data set fpds perform propos cad system found quit use use second reader radiologist

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