Algorithm for brain extraction on Magnetic Resonance Images T1 using Morphological 3D Transformations.

In this paper a 3D morphological composition of transformations for brain extraction on brain Magnetic Resonance Images T1 (MRI T1) is presented. The proposal makes use of two morphological connected transformations, the lower leveling and a family of the viscous alternating sequential filters (VASF...

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Published in:Revista Mexicana de Ingeniería Biomédica Vol. 35; no. 3; pp. 211 - 223
Main Authors: Mendiola-Santibañez, J. D., Méndez, I. M. Santillán, Orta, C. Paredes, Villalobos, I. R. Terol
Format: Article
Published: Sociedad Mexicana de Ingenieria Biomedica, A.C. dic2014
Subjects:
Online Access:View this record in EBSCOhost
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      pub: Sociedad Mexicana de Ingenieria Biomedica, A.C.
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        atl: Algorithm for brain extraction on Magnetic Resonance Images T1 using Morphological 3D Transformations.
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        au:
          Mendiola-Santibañez, J. D.
          Méndez, I. M. Santillán
          Orta, C. Paredes
          Villalobos, I. R. Terol
        affil:
          CIDETEQ Centro de Investigación y Desarrollo Tecnológico en Electroquímica
          División de Investigación y Posgrado de la Facultad de Ingeniería, Universidad Autónoma de Querétaro
      su:
        Magnetic resonance imaging of the brain
        Three-dimensional imaging
        Image reconstruction
        Image segmentation
        Comparative studies
      sug:
        subj:
          Magnetic resonance imaging of the brain
          Three-dimensional imaging
          Image reconstruction
          Image segmentation
          Comparative studies
      keyword:
        brain segmentation
        connected transformations
        filtering
        viscous transformations
        filtrado
        segmentación del cerebro
        transformaciones conexas
        transformaciones viscosas
      ab:
        In this paper a 3D morphological composition of transformations for brain extraction on brain Magnetic Resonance Images T1 (MRI T1) is presented. The proposal makes use of two morphological connected transformations, the lower leveling and a family of the viscous alternating sequential filters (VASFs). The properties of these operators -which consist in the control of the reconstruction process of a marker into the original image-, are exploited to segment the brain in 20 volumes of MRI T1. The segmented brains are compared with respect to: i) the segmentations obtained from BET which is popular among the scientific community for segmenting the brain; and ii) manual segmentations. The computed indices indicate that the proposed transformation produces good results during its performance. The consumed time for the algorithm during the execution is acceptable and it can be implemented in Matlab.
        En este artículo se presenta una composición de transformaciones morfológicas para la extracción del cerebro en imágenes de resonancia magnética T1 (MRI T1) en 3D. La propuesta hace uso de dos transformaciones morfológicas conexas, la nivelación inferior y una familia de filtros viscosos alternados secuenciales (VASFs). Las propiedades de estos operadores- las cuales consisten en el control del proceso de reconstrucción de un marcador dentro de la imagen original-, se explotan para segmentar el cerebro de 20 volúmenes de MRI T1. Los cerebros segmentados se comparan respecto a: i) segmentaciones obtenidas a partir del algoritmo BET, el cual es popular en la comunidad científica para la segmentación del cerebro; y ii) segmentaciones manuales. Los índices calculados indican que la transformación propuesta produce buenos resultados en su desempeño. El tiempo empleado por el operador durante su ejecución es aceptable además de que la propuesta puede ser implementada en Matlab.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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