Similarity enhancement for automatic segmentation of cardiac structures in computed tomography volumes.

Miguel Vera 1 Antonio Bravo 2 Mireille Garreau 3, * Rubén Medina 1
* Auteur correspondant
1 GIBULA - Grupo de Ingeniería Biomédica de la Universidad de los Andes
2 Decanato de Investigaci
GBI - Grupo de Bio-Ingenierıa
3 LTSI - Laboratoire Traitement du Signal et de l'Image
Abstract : The aim of this research is proposing a 3-D similarity enhancement technique useful for improving the segmentation of cardiac structures in Multi-Slice Computerized Tomography (MSCT) volumes. The similarity enhancement is obtained by subtracting the intensity of the current voxel and the gray levels of their adjacent voxels in two volumes resulting after preprocessing. Such volumes are: a. - a volume obtained after applying a Gaussian distribution and a morphological top-hat filter to the input and b. - a smoothed volume generated by processing the input with an average filter. Then, the similarity volume is used as input to a region growing algorithm. This algorithm is applied to extract the shape of cardiac structures, such as left and right ventricles, in MSCT volumes. Qualitative and quantitative results show the good performance of the proposed approach for discrimination of cardiac cavities.
Type de document :
Article dans une revue
Conference proceedings : .. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, Institute of Electrical and Electronics Engineers (IEEE), 2011, 2011, pp.8094-7. 〈10.1109/IEMBS.2011.6091996〉
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Soumis le : samedi 12 janvier 2013 - 14:47:40
Dernière modification le : mercredi 16 mai 2018 - 11:23:41
Document(s) archivé(s) le : samedi 13 avril 2013 - 04:07:54

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Miguel Vera, Antonio Bravo, Mireille Garreau, Rubén Medina. Similarity enhancement for automatic segmentation of cardiac structures in computed tomography volumes.. Conference proceedings : .. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, Institute of Electrical and Electronics Engineers (IEEE), 2011, 2011, pp.8094-7. 〈10.1109/IEMBS.2011.6091996〉. 〈inserm-00773260〉

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