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



Título del documento: Volumetry of epidural hematomas in computed tomography images: Comparative study between linear and volumetric methods
Revista: Revista latinoamericana de hipertensión
Base de datos: PERIÓDICA
Número de sistema: 000436652
ISSN: 1856-4550
Autores: 1
2
1
3
4
4
1
1
5
5
1
1
1
6
Instituciones: 1Universidad Simón Bolívar, Facultad de Ciencias Básicas y Biomédicas, Cúcuta, Norte de Santander. Colombia
2Universidad de Los Andes, Grupo de Investigación en Procesamiento Computacional de Datos, San Cristóbal, Táchira. Venezuela
3Universidad de Pamplona, Facultad de Ciencias Básicas, Pamplona, Norte de Santander. Colombia
4Hospital Central de San Cristóbal, Servicio de Neurología, San Cristóbal, Táchira. Venezuela
5Universidad ECCI, Grupo de Investigación en Ingeniería Clínica, Bogotá. Colombia
6Universidad Simón Bolívar, Facultad de Ingeniería, Cúcuta, Norte de Santander. Colombia
Año:
Volumen: 13
Número: 4
Paginación: 339-343
País: Venezuela
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Analítico, descriptivo
Resumen en inglés 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%
Disciplinas: Medicina
Palabras clave: Neurología,
Radiología,
Diagnóstico,
Hematoma epidural,
Tomografía computarizada,
Volumetría,
Segmentación de imágenes
Keyword: Neurology,
Radiology,
Diagnosis,
Epidural hematoma,
Computed tomography,
Volumetry,
Image segmentation
Texto completo: http://biblat.unam.mx/hevila/Revistalatinoamericanadehipertension/2018/vol13/no4/6.pdf