IEEE Trans Image Process - From point to local neighborhood: polyp detection in CT colonography using geodesic ring neighborhoods.

Tópicos

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Resumo

Existing polyp detection methods rely heavily on curvature-based characteristics to differentiate between lesions. These assume that the discrete triangulated surface mesh or volume closely approximates a smooth continuous surface. However, this is often not the case and because curvature is computed as a local feature and a second-order differential quantity, the presence of noise significantly affects its estimation. For this reason, a more global feature is required to provide an accurate description of the surface at hand. In this paper, a novel method incorporating a local neighborhood around the centroid of a surface patch is proposed. This is done using geodesic rings which accumulate curvature information in a neighborhood around this centroid. This geodesic-ring neighborhood approximates a single smooth, continuous surface upon which curvature and orientation estimation methods can be applied. A new global shape index, S is also introduced and computed. These curvature and orientation values will be used to classify the surface as either a bulbous polyp, ridge-like fold or semiplanar structure. Experimental results show that this method is promising (100% sensitivity, 100% specificity for lesions > 10 mm) for distinguishing between bulbous polyps, folds and planar-like structures in the colon.

Resumo Limpo

exist polyp detect method reli heavili curvaturebas characterist differenti lesion assum discret triangul surfac mesh volum close approxim smooth continu surfac howev often case curvatur comput local featur secondord differenti quantiti presenc nois signific affect estim reason global featur requir provid accur descript surfac hand paper novel method incorpor local neighborhood around centroid surfac patch propos done use geodes ring accumul curvatur inform neighborhood around centroid geodesicr neighborhood approxim singl smooth continu surfac upon curvatur orient estim method can appli new global shape index s also introduc comput curvatur orient valu will use classifi surfac either bulbous polyp ridgelik fold semiplanar structur experiment result show method promis sensit specif lesion mm distinguish bulbous polyp fold planarlik structur colon

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