Volumetry of epidural hematomas in computed tomography images: Comparative study between linear and volumetric methods
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Fecha
2018
Autores
Vera, Miguel
Huérfano, Yoleidy
Hernández, Carlos
Valbuena, Oscar
Salazar, Williams
Vera, María Isabel
Barrera, Doris
Borrero, Maryury
Molina, Ángel Valentín
Martínez, Luis Javier
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Editor
Sociedad Latinoamericana de Hipertensión
Resumen
This work evaluates the performance of some
methods employed for assessing the volume of
seven subdural hematomas (EDH), present in
multi-layer computed tomography images. Firstly, a reference
volume is considered to be that obtained by a neurosurgeon
using the manual planimetric method (MPM).
Secondly, the volume of the 7 EDHs is obtained considering
both the original version of the ABC/2 method and two of
its variants, identified in this paper as ABC/3 method and
2ABC/3 method. The ABC methods allow for calculation
of the volume of the hematoma under the assumption
that the EDH has an ellipsoidal shape. In third place, an
intelligent automatic technique (SAT) is implemented that
generates the three-dimensional segmentation of each
EDH and from it the volume of the hematoma is calculated.
The SAT consists of the pre-processing, segmentation
and post-processing stages. In order to make judgments
about the performance of the SAT, the Dice coefficient
(Dc) is used to compare the dilated segmentations of the
EDH with the EDH segmentations generated manually. Finally,
the percentage relative error is calculated as a metric
to evaluate the methodologies considered. The results
show that the SAT method exhibits the best performance
generating an average percentage error of less than 2%.
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Palabras clave
ABC Methods, Automatic Intelligent Technique, Segmentation, Volumetry of epidural hematomas