An automatic technique for left ventricle segmentation from msct cardiac volumes
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Fecha
2019
Autores
Vera, M.
Medina, R.
Del Mar, A.
Arellano, J.
Huerfano, Y.
Bravo, A.
Título de la revista
ISSN de la revista
Título del volumen
Editor
IOP Publishing
Resumen
In this research, an automatic technique to segment the left ventricle from the heart
information in multislice computed tomography images is proposed. A preprocessing stage is
considered as a necessary preliminary task for diminishing the artifacts impact in the image
analysis. With this idea, a similarity enhancement that combines a smoothed version of the
original volume with a processed volume using mathematical morphology is used. This
preprocessing approach is compared with respect to other strategies. After, a volume-of-interest
is defined in order to isolate the cavity using two cropping planes detected with least squares
support vector machines. Finally, the segmentations are obtained using both a region growing
algorithm and a level sets algorithm. The robustness of each enhancement strategy is validated
by performing the segmentation of images. This evaluation considered the Dice score, and both
volume and surface errors. A clinical dataset from 12 patients is used in the inter- and intra
subject evaluation. During intra-subject validation the proposed scheme achieves the best results,
while a modified version of this scheme achieved the best performance during inter-subject
validation.
Descripción
Palabras clave
Heart, Cardiovascular system, Cardiography