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http://cimat.repositorioinstitucional.mx/jspui/handle/1008/646| A Probabilistic Segmentation Method for IVUS Images | |
| MARIANO JOSE JUAN RIVERA MERAZ | |
| Acceso Abierto | |
| Atribución-NoComercial | |
| Segmentación de Imagenes | |
| Intravascular ultrasound (IVUS) is a catheter-based medical imaging technique that produces cross-sectional images of blood vessels and is particularly useful for studying atherosclerosis. In this paper, we present a probabilistic approach for the semi-automatic segmentation of the luminal border on IVUS images. Specifically, we parameterize the lumen contour using a sum of Gaussian functions that are deformed by the minimization of a cost function formulated using a probabilistic approach. For the optimization of the cost function, we introduce a novel method that linearly combines the descent directions of the steepest descent and BFGS optimization methods within a trust region that improves convergence. Results of our proposed method on 20 MHz IVUS images are presented and discussed in order to demonstrate the effectiveness of our approach. | |
| Centro de Investigación en Matemáticas AC | |
| 13-12-2007 | |
| Reporte | |
| Inglés | |
| Investigadores | |
| CONVERTIDORES ANALÓGICO-DIGITALES | |
| Versión publicada | |
| publishedVersion - Versión publicada | |
| Aparece en las colecciones: | Reportes Técnicos - Ciencias de la Computación |
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| Fichero | Tamaño | Formato | |
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| I-07-17.pdf | 2.44 MB | Adobe PDF | Visualizar/Abrir |