Automatic segmentation of abdominal aortic aneurysm from medical images based on active shape models and texture models

Tarjuelo Gutierrez, Jaime; Rodríguez Vila, Borja y Gómez Aguilera, Enrique J. (2012). Automatic segmentation of abdominal aortic aneurysm from medical images based on active shape models and texture models. En: "II Joint Workshop on New Technologies for Computer/Robot Assisted Surgery", 09/07/2012 - 10/07/2012, Madrid, Spain. pp. 5-9.

Descripción

Título: Automatic segmentation of abdominal aortic aneurysm from medical images based on active shape models and texture models
Autor/es:
  • Tarjuelo Gutierrez, Jaime
  • Rodríguez Vila, Borja
  • Gómez Aguilera, Enrique J.
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: II Joint Workshop on New Technologies for Computer/Robot Assisted Surgery
Fechas del Evento: 09/07/2012 - 10/07/2012
Lugar del Evento: Madrid, Spain
Título del Libro: II Joint Workshop on New Technologies for Computer/Robot Assisted Surgery
Fecha: 2012
Materias:
Palabras Clave Informales: Segmentation, abdominal aortic aneurysm, intraluminal thrombus, active appearance models
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Tecnología Fotónica [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

A semi-automatic segmentation algorithm for abdominal aortic aneurysms (AAA), and based on Active Shape Models (ASM) and texture models, is presented in this work. The texture information is provided by a set of four 3D magnetic resonance (MR) images, composed of axial slices of the abdomen, where lumen, wall and intraluminal thrombus (ILT) are visible. Due to the reduced number of images in the MRI training set, an ASM and a custom texture model based on border intensity statistics are constructed. For the same reason the shape is characterized from 35-computed tomography angiography (CTA) images set so the shape variations are better represented. For the evaluation, leave-one-out experiments have been held over the four MRI set.

Más información

ID de Registro: 22730
Identificador DC: http://oa.upm.es/22730/
Identificador OAI: oai:oa.upm.es:22730
Depositado por: Memoria Investigacion
Depositado el: 05 Mar 2014 16:44
Ultima Modificación: 21 Abr 2016 19:41
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