Comput Methods Programs Biomed - A marker-based watershed method for X-ray image segmentation.

Tópicos

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Resumo

Digital X-ray images are the most frequent modality for both screening and diagnosis in hospitals. To facilitate subsequent analysis such as quantification and computer aided diagnosis (CAD), it is desirable to exclude image background. A marker-based watershed segmentation method was proposed to segment background of X-ray images. The method consisted of six modules: image preprocessing, gradient computation, marker extraction, watershed segmentation from markers, region merging and background extraction. One hundred clinical direct radiograph X-ray images were used to validate the method. Manual thresholding and multiscale gradient based watershed method were implemented for comparison. The proposed method yielded a dice coefficient of 0.964?0.069, which was better than that of the manual thresholding (0.937?0.119) and that of multiscale gradient based watershed method (0.942?0.098). Special means were adopted to decrease the computational cost, including getting rid of few pixels with highest grayscale via percentile, calculation of gradient magnitude through simple operations, decreasing the number of markers by appropriate thresholding, and merging regions based on simple grayscale statistics. As a result, the processing time was at most 6s even for a 3072?3072 image on a Pentium 4 PC with 2.4GHz CPU (4 cores) and 2G RAM, which was more than one time faster than that of the multiscale gradient based watershed method. The proposed method could be a potential tool for diagnosis and quantification of X-ray images.

Resumo Limpo

digit xray imag frequent modal screen diagnosi hospit facilit subsequ analysi quantif comput aid diagnosi cad desir exclud imag background markerbas watersh segment method propos segment background xray imag method consist six modul imag preprocess gradient comput marker extract watersh segment marker region merg background extract one hundr clinic direct radiograph xray imag use valid method manual threshold multiscal gradient base watersh method implement comparison propos method yield dice coeffici better manual threshold multiscal gradient base watersh method special mean adopt decreas comput cost includ get rid pixel highest grayscal via percentil calcul gradient magnitud simpl oper decreas number marker appropri threshold merg region base simpl grayscal statist result process time s even imag pentium pc ghz cpu core g ram one time faster multiscal gradient base watersh method propos method potenti tool diagnosi quantif xray imag

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