| Journal: | Journal of applied research and technology |
| Database: | PERIÓDICA |
| System number: | 000394072 |
| ISSN: | 1665-6423 |
| Authors: | Yang, Sheng-Chih1 Yu, Cheng-Yi1 Lin, Cheng-Jian1 Lin, Hsueh-Yi1 Lin, Chi-Yuan1 |
| Institutions: | 1National Chin-Yi University of Technology, Department of Computer Science and Information Engineering, Taichung. Taiwán |
| Year: | 2015 |
| Season: | Abr |
| Volumen: | 13 |
| Number: | 2 |
| Pages: | 279-290 |
| Country: | México |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Aplicado, descriptivo |
| English abstract | In this study, we have proposed a three-dimensional (3D) model reconstruction system for breast tumors. The proposed system can establish an accurate 3D model of tumors, which will serve as a diagnostic reference for physicians and also address the shortcomings of the traditional breast needle localization method and other localization methods reported in previous studies. This developed system uses multispectral breast magnetic resonance images as input and detects the contour of the tumor in different sections using an active contour method - multispectral gradient vector flow snake (MGVFS) method. Thus, the system constructs a 3D model of only the tumor is contained in a breast surface model and excludes other tissues. Since the accuracy of the reconstructed 3D model depends on the accuracy of the tumor contour detection, for confirming the results obtained with the MGVFS method, we conducted experiments to evaluate its accuracy in contour detection, and compared the results with those traditional contour detection methods. Our results demonstrate that the MGVFS method has the highest accuracy in contour detection, with a correct contour detection rate as high as 99.79% |
| Disciplines: | Ciencias de la computación, Medicina |
| Keyword: | Diagnóstico, Oncología, Mama, Cáncer, Imágenes médicas, Resonancia magnética, Reconstrucción de imágenes, Detección de contorno |
| Keyword: | Computer science, Medicine, Diagnosis, Oncology, Breast, Cancer, Medical images, Magnetic resonance, Image reconstruction, Contour detection |
| Full text: | Texto completo (Ver HTML) |
