Comput. Biol. Med. - Refinement of lung nodule candidates based on local geometric shape analysis and Laplacian of Gaussian kernels.

Tópicos

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Resumo

This work is focused on application of a new technique in the first steps of computer-aided detection (CAD) of lung nodules. The scheme includes segmenting the lung volume and detecting most of the nodules with a low number of false positive (FP) objects. The juxtapleural nodules were properly included and the airways excluded in the lung segmentation. Among the suspicious regions obtained from the multiscale dot enhancement filter, those containing the center of nodule candidates, were determined. These center points were achieved from a 3D blob detector based on Laplacian of Gaussian kernels. Then the volumetric shape index (SI) that encodes the 3D local shape information was calculated for voxels in the determined regions. The performance of the scheme was evaluated by using 42 CT images from the Lung Image Database Consortium (LIDC). The results show that the average number of FPs reaches to 38.8 per scan with the sensitivity of 95.9% in the initial detections. The scheme is adaptable to detect nodules with wide variations in size, shape, intensity and location. Comparison of results with previously reported ones indicates that the proposed scheme can be satisfactory applied for initial detection of lung nodules in the chest CT images.

Resumo Limpo

work focus applic new techniqu first step computeraid detect cad lung nodul scheme includ segment lung volum detect nodul low number fals posit fp object juxtapleur nodul proper includ airway exclud lung segment among suspici region obtain multiscal dot enhanc filter contain center nodul candid determin center point achiev d blob detector base laplacian gaussian kernel volumetr shape index si encod d local shape inform calcul voxel determin region perform scheme evalu use ct imag lung imag databas consortium lidc result show averag number fps reach per scan sensit initi detect scheme adapt detect nodul wide variat size shape intens locat comparison result previous report one indic propos scheme can satisfactori appli initi detect lung nodul chest ct imag

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