Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/47467
Título: Phase-Based User-Steered Image Segmentation
Autores/as: O’Donnell, Lauren
Westin, Carl Fredrik
Grimson, W. Eric L.
Ruiz-Alzola, Juan 
Shenton, Martha E.
Kikinis, Ron
Clasificación UNESCO: 3314 Tecnología médica
Palabras clave: Segmentation Method
User Interaction
Instantaneous Frequency
Weighted Graph
Manual Segmentation
Fecha de publicación: 2001
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001 
Resumen: This paper presents a user-steered segmentation algorithm based on the livewire paradigm. Livewire is an image-feature driven method that finds the optimal path between user-selected image locations, thus reducing the need to manually define the complete boundary. We introduce an image feature based on local phase, which describes local edge symmetry independent of absolute gray value. Because phase is amplitude invariant, the measurements are robust with respect to smooth variations, such as bias field inhomogeneities present in all MR images. In order to enable validation of our segmentation method, we have created a system that continuously records user interaction and automatically generates a database containing the number of user interactions, such as mouse events, and time stamps from various editing modules. We have conducted validation trials of the system and obtained expert opinions regarding its functionality.
URI: http://hdl.handle.net/10553/47467
ISBN: 3540426973
ISSN: 0302-9743
DOI: 10.1007/3-540-45468-3_122
Fuente: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 2208, p. 1022-1030
Colección:Actas de congresos
miniatura
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