Int J Comput Assist Radiol Surg - Fast lung nodule detection in chest CT images using cylindrical nodule-enhancement filter.

Tópicos

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Resumo

RPOSE: Existing computer-aided detection schemes for lung nodule detection require a large number of calculations and tens of minutes per case; there is a large gap between image acquisition time and nodule detection time. In this study, we propose a fast detection scheme of lung nodule in chest CT images using cylindrical nodule-enhancement filter with the aim of improving the workflow for diagnosis in CT examinations.METHODS: Proposed detection scheme involves segmentation of the lung region, preprocessing, nodule enhancement, further segmentation, and false-positive (FP) reduction. As a nodule enhancement, our method employs a cylindrical shape filter to reduce the number of calculations. False positives (FPs) in nodule candidates are reduced using support vector machine and seven types of characteristic parameters.RESULTS: The detection performance and speed were evaluated experimentally using Lung Image Database Consortium publicly available image database. A 5-fold cross-validation result demonstrates that our method correctly detects 80?% of nodules with 4.2 FPs per case, and detection speed of proposed method is also 4-36 times faster than existing methods.CONCLUSION: Detection performance and speed indicate that our method may be useful for fast detection of lung nodules in CT images.

Resumo Limpo

rpose exist computeraid detect scheme lung nodul detect requir larg number calcul ten minut per case larg gap imag acquisit time nodul detect time studi propos fast detect scheme lung nodul chest ct imag use cylindr noduleenhanc filter aim improv workflow diagnosi ct examinationsmethod propos detect scheme involv segment lung region preprocess nodul enhanc segment falseposit fp reduct nodul enhanc method employ cylindr shape filter reduc number calcul fals posit fps nodul candid reduc use support vector machin seven type characterist parametersresult detect perform speed evalu experiment use lung imag databas consortium public avail imag databas fold crossvalid result demonstr method correct detect nodul fps per case detect speed propos method also time faster exist methodsconclus detect perform speed indic method may use fast detect lung nodul ct imag

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