Volumetry of subdural hematomas in computed tomography images: ABC methods versus an intelligent computational technique
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| Formato: | Artículo científico |
| Lenguaje: | en |
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Sociedad Venezolana de Farmacología Clínica y Terapéutica
2018
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| _version_ | 1876446670919565312 |
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| author | Miguel Vera |
| author_facet | Miguel Vera |
| contents | Volumetry of subdural hematomas in computed tomography images: ABC methods versus an intelligent computational technique Miguel Vera Yoleidy Huérfano Maryury Borrero Williams Salazar María Isabel Vera Doris Barrera Carlos Hernández Ángel Valentín Molina Luis Javier Martínez Oscar Valbuena Juan Salazar Elkin Gelvez Yudith Contreras Frank Sáenz Medicina ABC Methods Segmentation Automatic Intelligent Technique Volumetry of subdural hematomas This work evaluates the performance of some methods oriented towards the generation of the volume of four subdural hematomas (SDH), present in multi-layer computed tomography images. To do this, firstly, a reference volume is considered to be that obtained by a neurosurgeon using the manual planimetric method (MPM), which allows the generation of manual segmentations of space-occupying lesions, which in this case are matched with the SDH. The MPM consists of: a) Manually drawing the outline that delimits the SDH, in each of the layers or sections in which the SDH is present. b) Calculate the partial area using the number of pixels contained in each contour. c) Obtain the total SDH area by adding the partial areas. d) Calculate the volume considering the total number of layers, the total area of the SDH and the thickness of each layer. Secondly, the volumetry of the 4 SDHs 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 allows for the calculation of the volume of the hematoma under the assumption that the SDH has an ellipsoidal shape. In these methods, A is the maximum diameter of the SDH, B is the length of the SDH measured, perpendicularly, with respect to the parameter A; while C represents the product of the thickness of the cut by the number of cuts in which the SDH is present. In third place, an intelligent automatic technique (SAT) is implemented that generates the three-dimensional segmentation of each SDH and from it the volume of the hematoma is calculated by multiplying the voxel dimensions by the number of voxels that make up the SDH. In the context of the present work, the expression SAT method will be used to refer to the new methodology that is proposed to calculate the volume of the SDH. The SAT consists of the pre-processing, segmentation and post-processing stages. During pre-processing, a thresholding algorithm and a bank of computational filters are used to address artifact and image noise problems. In segmentation, the growth of regions is applied to pre-processed images. Finally, a morphological dilation filter is used as a technique to perform the post-processing of the segmented images. In order to make judgments about the performance of the SAT, the Dice coefficient (Dc) is used to compare the dilated segmentations of the SDH with the SDH segmentations generated manually, by a neurosurgeon. The combination of parameters linked to the highest Dc, allows to establish the optimal parameters of each of the computational algorithms that make up the SAT. 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 5%. 2018 artículo científico 0798-0264 https://www.redalyc.org/articulo.oa?id=55963209003 https://www.redalyc.org/journal/559/55963209003/ https://www.redalyc.org/journal/559/55963209003/html/ https://www.redalyc.org/journal/559/55963209003/55963209003.epub https://www.redalyc.org/journal/559/55963209003/movil en http://www.redalyc.org/revista.oa?id=559 Archivos Venezolanos de Farmacología y Terapéutica application/pdf Sociedad Venezolana de Farmacología Clínica y Terapéutica Archivos Venezolanos de Farmacología y Terapéutica (República Bolivariana de Venezuela) Num.4 Vol.37 |
| format | Artículo científico |
| id | redalyc_55963209003 |
| institution | Redalyc |
| language | en |
| publishDate | 2018 |
| publisher | Sociedad Venezolana de Farmacología Clínica y Terapéutica |
| spellingShingle | Volumetry of subdural hematomas in computed tomography images: ABC methods versus an intelligent computational technique Miguel Vera Medicina ABC Methods Segmentation Automatic Intelligent Technique Volumetry of subdural hematomas Volumetry of subdural hematomas in computed tomography images: ABC methods versus an intelligent computational technique Miguel Vera Yoleidy Huérfano Maryury Borrero Williams Salazar María Isabel Vera Doris Barrera Carlos Hernández Ángel Valentín Molina Luis Javier Martínez Oscar Valbuena Juan Salazar Elkin Gelvez Yudith Contreras Frank Sáenz Medicina ABC Methods Segmentation Automatic Intelligent Technique Volumetry of subdural hematomas This work evaluates the performance of some methods oriented towards the generation of the volume of four subdural hematomas (SDH), present in multi-layer computed tomography images. To do this, firstly, a reference volume is considered to be that obtained by a neurosurgeon using the manual planimetric method (MPM), which allows the generation of manual segmentations of space-occupying lesions, which in this case are matched with the SDH. The MPM consists of: a) Manually drawing the outline that delimits the SDH, in each of the layers or sections in which the SDH is present. b) Calculate the partial area using the number of pixels contained in each contour. c) Obtain the total SDH area by adding the partial areas. d) Calculate the volume considering the total number of layers, the total area of the SDH and the thickness of each layer. Secondly, the volumetry of the 4 SDHs 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 allows for the calculation of the volume of the hematoma under the assumption that the SDH has an ellipsoidal shape. In these methods, A is the maximum diameter of the SDH, B is the length of the SDH measured, perpendicularly, with respect to the parameter A; while C represents the product of the thickness of the cut by the number of cuts in which the SDH is present. In third place, an intelligent automatic technique (SAT) is implemented that generates the three-dimensional segmentation of each SDH and from it the volume of the hematoma is calculated by multiplying the voxel dimensions by the number of voxels that make up the SDH. In the context of the present work, the expression SAT method will be used to refer to the new methodology that is proposed to calculate the volume of the SDH. The SAT consists of the pre-processing, segmentation and post-processing stages. During pre-processing, a thresholding algorithm and a bank of computational filters are used to address artifact and image noise problems. In segmentation, the growth of regions is applied to pre-processed images. Finally, a morphological dilation filter is used as a technique to perform the post-processing of the segmented images. In order to make judgments about the performance of the SAT, the Dice coefficient (Dc) is used to compare the dilated segmentations of the SDH with the SDH segmentations generated manually, by a neurosurgeon. The combination of parameters linked to the highest Dc, allows to establish the optimal parameters of each of the computational algorithms that make up the SAT. 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 5%. 2018 artículo científico 0798-0264 https://www.redalyc.org/articulo.oa?id=55963209003 https://www.redalyc.org/journal/559/55963209003/ https://www.redalyc.org/journal/559/55963209003/html/ https://www.redalyc.org/journal/559/55963209003/55963209003.epub https://www.redalyc.org/journal/559/55963209003/movil en http://www.redalyc.org/revista.oa?id=559 Archivos Venezolanos de Farmacología y Terapéutica application/pdf Sociedad Venezolana de Farmacología Clínica y Terapéutica Archivos Venezolanos de Farmacología y Terapéutica (República Bolivariana de Venezuela) Num.4 Vol.37 |
| title | Volumetry of subdural hematomas in computed tomography images: ABC methods versus an intelligent computational technique |
| topic | Medicina ABC Methods Segmentation Automatic Intelligent Technique Volumetry of subdural hematomas |
| url | https://www.redalyc.org/articulo.oa?id=55963209003 https://www.redalyc.org/journal/559/55963209003/ https://www.redalyc.org/journal/559/55963209003/html/ https://www.redalyc.org/journal/559/55963209003/55963209003.epub https://www.redalyc.org/journal/559/55963209003/movil |