Comput. Biol. Med. - Three-dimensional semiautomatic liver segmentation method for non-contrast computed tomography based on a correlation map of locoregional histogram and probabilistic atlas.

Tópicos

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Resumo

CKGROUND: We sought to evaluate a new regional segmentation method for use with three-dimensional (3D) non-contrast abdominal CT images and to report the preliminary results.METHODS: The proposed method was evaluated in ten cases. Manually segmented areas were used as the gold standard for evaluation. To compare the standard and the extracted liver regions, the degree of coincidence R% was redefined by transforming a volumetric overlap error. We also evaluated the influence of varying the density window size in terms of setting the starting points.RESULTS: We confirmed in ten cases that our method could segment the liver region more precisely than the conventional method. A size of window 15 voxels was optimal as the starting point in all cases.CONCLUSIONS: We demonstrated the accuracy of a 3D semiautomatic liver segmentation method for non-contrast CT. This method promises to offer radiologists a time-efficient segmentation aid.

Resumo Limpo

ckground sought evalu new region segment method use threedimension d noncontrast abdomin ct imag report preliminari resultsmethod propos method evalu ten case manual segment area use gold standard evalu compar standard extract liver region degre coincid r redefin transform volumetr overlap error also evalu influenc vari densiti window size term set start pointsresult confirm ten case method segment liver region precis convent method size window voxel optim start point casesconclus demonstr accuraci d semiautomat liver segment method noncontrast ct method promis offer radiologist timeeffici segment aid

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