Academic Journal
Generation of 3D Tumor Models from DICOM Images for Virtual Planning of its Recession ; Generación de modelos 3D de tumor desde imágenes DICOM, para planificación virtual de su recesión
| العنوان: | Generation of 3D Tumor Models from DICOM Images for Virtual Planning of its Recession ; Generación de modelos 3D de tumor desde imágenes DICOM, para planificación virtual de su recesión |
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| المؤلفون: | Rodríguez-Bastidas, Oscar, Vargas-Rosero, Hermes Fabián |
| المصدر: | Revista Facultad de Ingeniería; Vol. 29 No. 54 (2020): Continuos Publication; e10173 ; Revista Facultad de Ingeniería; Vol. 29 Núm. 54 (2020): Publicación Continua; e10173 ; 2357-5328 ; 0121-1129 |
| بيانات النشر: | Universidad Pedagógica y Tecnológica de Colombia |
| سنة النشر: | 2024 |
| المجموعة: | Repositorio UPTC (Universidad Pedagógicay y Tecnológica de Colombia) |
| مصطلحات موضوعية: | 3D mesh, 3D model, image segmentation, k-means, medical images, usability, imágenes médicas, malla 3D, modelo 3D, segmentación de imágenes, usabilidad |
| جغرافية الموضوع: | N.A. |
| الوصف: | Medical images are essential for diagnosis, planning of surgery and evolution of pathology. The advances in technology have developed new techniques to obtain digital images with more details, in return this has also led to disadvantages, such as: the analysis of large volumes of information, long time to determine an affected region and difficulty in defining the malignant tissue for its later extirpation, among the most relevant. This article presents an image segmentation strategy and the optimization of a method for generating three-dimensional models. A prototype was implemented in which it was possible to evaluate the segmentation algorithms and 3D reconstruction technique, allowing to visualize the tumor model from different points of view through virtual reality. In this investigation, we evaluate the computational cost and user experience, the parameters selected in terms of computational cost are the time and consumption of RAM, we used 140 MRI images each with dimensions 260x320 pixel, and as a result, we obtained an approximate time of 37.16s and consumption in RAM of 1.3GB. Another experiment carried out is the segmentation and reconstruction of a tumor, this model is formed by a three-dimensional mesh made up of 151 vertices and 318 faces. Finally, we evaluate the application, with a usability test applied to a sample of 20 people with different areas of knowledge. The results show that the graphics presented by the software are pleasant, they also show that the application is intuitive and easy to use. Additionally, it is mentioned that it helps improve the understanding of medical images. ; Las imágenes médicas son imprescindibles para la realización del diagnóstico, planificación de cirugía y evolución de la patología. El avance de la tecnología ha desarrollado nuevas técnicas para obtener imágenes digitales con más detalles, esto a su vez ha llevado a tener desventajas, entre ellas: el análisis de grandes volúmenes de información, tiempo prolongado para determinar una región afectada y ... |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf; application/xml |
| اللغة: | English |
| Relation: | https://revistas.uptc.edu.co/index.php/ingenieria/article/view/10173/9130; https://revistas.uptc.edu.co/index.php/ingenieria/article/view/10173/9598; https://revistas.uptc.edu.co/index.php/ingenieria/article/view/10173; https://repositorio.uptc.edu.co/handle/001/14253 |
| DOI: | 10.19053/01211129.v29.n54.2020.10173 |
| الاتاحة: | https://repositorio.uptc.edu.co/handle/001/14253 https://revistas.uptc.edu.co/index.php/ingenieria/article/view/10173 https://doi.org/10.19053/01211129.v29.n54.2020.10173 |
| Rights: | Copyright (c) 2020 Oscar Rodríguez-Bastidas, Hermes Fabián Vargas-Rosero, M.Sc. |
| رقم الانضمام: | edsbas.35945ADC |
| قاعدة البيانات: | BASE |
| DOI: | 10.19053/01211129.v29.n54.2020.10173 |
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