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Title in Portuguese: Automatic 3D pulmonary nodule detection in CT images: A survey
Author: Valente, Igor Rafael Silva
Cortez, Paulo César
Soares, José Marques
Cavalcanti Neto, Edson
Albuquerque, Victor Hugo Costa de
Tavares, João Manuel Ribeiro da Silva
Keywords: 3D image segmentation
Computer-aided detection systems
Lung cancer
Medical image analysis
Pulmonary nodules
Issue Date: 2016
Publisher: Computer Methods and Programs in Biomedicine
Citation: SOARES, J. M. et al. Automatic 3D pulmonary nodule detection in CT images: A survey. Computer Methods and Programs in Biomedicine, vol. 124, p. 91-107, 2016
Abstract: This work presents a systematic review of techniques for the 3D automatic detection of pulmonary nodules in computerized-tomography (CT) images. Its main goals are to analyze the latest technology being used for the development of computational diagnostic tools to assist in the acquisition, storage and, mainly, processing and analysis of the biomedical data. Also, this work identifies the progress made, so far, evaluates the challenges to be overcome and provides an analysis of future prospects. As far as the authors know, this is the first time that a review is devoted exclusively to automated 3D techniques for the detection of pulmonary nodules from lung CT images, which makes this work of noteworthy value. The research covered the published works in the Web of Science, PubMed, Science Direct and IEEEXplore up to December 2014. Each work found that referred to automated 3D segmentation of the lungs was individually analyzed to identify its objective, methodology and results. Based on the analysis of the selected works, several studies were seen to be useful for the construction of medical diagnostic aid tools. However, there are certain aspects that still require attention such as increasing algorithm sensitivity, reducing the number of false positives, improving and optimizing the algorithm detection of different kinds of nodules with different sizes and shapes and, finally, the ability to integrate with the Electronic Medical Record Systems and Picture Archiving and Communication Systems. Based on this analysis, we can say that further research is needed to develop current techniques and that new algorithms are needed to overcome the identified drawbacks.
metadata.dc.type: Artigo de Periódico
ISSN: 1872-7565
Appears in Collections:DETE - Artigos publicados em revista científica

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