Geometric modeling and characterization of the circle of willis
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Document Type
Document Version
Author
Director
Frangi Caregnato, Alejandro
Pozo Soler, José Ma. (José María)
Pozo Soler, José Ma. (José María)
Tutor
Other authors
Publication Date
Pages
112 p.
Embargo date
Citation
Bogunovic, H. Geometric modeling and characterization of the circle of willis. Universitat Pompeu Fabra; 2012. handle: http://hdl.handle.net/10803/94141
This citation was generated automatically.
Citation
Doctoral program
Programa de doctorat en Tecnologies de la Informació i les Comunicacions
Abstract
Los derrames cerebrales son una de las causas principales de morbilidad y mortalidad en los países desarrollados. Esto ha motivado una búsqueda de configuraciones del sistema vascular que se cree que están asociadas con el desarrollo de enfermedades vasculares. En la primera contribución se ha mejorado un método de segmentación vascular para lograr robustez en la segmentación de imágenes procedentes de diferentes modalidades y centros clínicos, con una validación exhaustiva. Una vez que el sistema vascular está correctamente segmentado, en la segunda contribución se ha propuesto una metodología para caracterizar ampliamente la geometría de la arteria carótida interna (ACI). Esto ha incluido el desarrollo de un método para identificar automáticamente la ACI a partir del árbol vascular segmentado. Finalmente, en la tercera contribución, esta identificación automática se ha generalizado a una colección de arterias incluyendo su conectividad y sus relaciones topológicas. Finalmente, la identificación de las arterias en un conjunto de individuos puede permitir la comparación geométrica de sus árboles arteriales utilizando la metodología introducida para la caracterización de la ACI.
Stroke is among the leading causes of morbidity and mortality in the developed countries. This motivated a search for the configurations of vasculature that is assumed to be associated with the development of vascular diseases. In the first contribution we improve a vascular segmentation method to achieve robustness in segmenting images coming from different imaging modalities and clinical centers and we provide exhaustive segmentation validation. Once the vasculature is successfully segmented, in the second contribution we propose a methodology to extensively characterize the geometry of the internal carotid artery (ICA). This includes the development of a method to automatically identify the ICA from the segmented vascular tree. Finally in the third contribution, this automatic identification is generalized to a collection of vessels including their connectivity and topological relationships. Identifying the corresponding vessels in a population enables comparison of their geometry using the methodology introduced for the characterization of the ICA.
Stroke is among the leading causes of morbidity and mortality in the developed countries. This motivated a search for the configurations of vasculature that is assumed to be associated with the development of vascular diseases. In the first contribution we improve a vascular segmentation method to achieve robustness in segmenting images coming from different imaging modalities and clinical centers and we provide exhaustive segmentation validation. Once the vasculature is successfully segmented, in the second contribution we propose a methodology to extensively characterize the geometry of the internal carotid artery (ICA). This includes the development of a method to automatically identify the ICA from the segmented vascular tree. Finally in the third contribution, this automatic identification is generalized to a collection of vessels including their connectivity and topological relationships. Identifying the corresponding vessels in a population enables comparison of their geometry using the methodology introduced for the characterization of the ICA.
Keywords
Angiografía, Circulo de Willis, Arteria carótida interna, Análisis geométrico, Etiquetado anatómico, Segmentación vascular, Método del conjunto de nivel, Máquinas de vectores de soporte, Máximum a posteriori, Angiography, Circle of Willis, Internal carotid artery, Geometric characterization, Anatomical labeling, Vessel segmentation, Segmentation validation, Level set method, Support vector machine, Maximum a posteriori
Subjects
616.1 - Pathology of the circulatory system, blood vessels. Cardiovascular disorders
Publisher
Universitat Pompeu Fabra
