Volumetry of epidural hematomas in computed tomography images: Comparative study between linear and volumetric methods

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%.

• Autores: Vera, Miguel; Huérfano, Yoleidy; Hernández, Carlos; Valbuena, Oscar; Salazar, Williams; Vera, María Isabel; Barrera, Doris; Borrero, Maryury; Molina, Ángel Valentín; Martínez, Luis Javier; Salazar, Juan; Gelvez, Elkin; Contreras, Yudith; Saenz, Frank
• Fecha de publicación: 2018
• Institución: Universidad Simón Bolívar
• Repositorio: Repositorio Digital USB
• Idioma: eng
• OAI Identifier: oai:bonga.unisimon.edu.co:20.500.12442/2530
• Acceso en línea: http://hdl.handle.net/20.500.12442/2530
• Palabra clave: ABC Methods; Automatic Intelligent Technique; Segmentation; Volumetry of epidural hematomas
• License: Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional