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Variational segmentation of vector-valued images with gradient vector flow.

Jaouen, Vincent; González, Paulo; Stute, Simon; Guilloteau, Denis; Chalon, Sylvie; Buvat, Irène; Tauber, Clovis


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{
  "description": "<p>In this paper, we extend the gradient vector flow</p>\n\n<p>field for robust variational segmentation of vector-valued images.</p>\n\n<p>Rather than using scalar edge information, we define a vectorial</p>\n\n<p>edge map derived from a weighted local structure tensor of</p>\n\n<p>the image that enables the diffusion of the gradient vectors in</p>\n\n<p>accurate directions through the 4D gradient vector flow equation.</p>\n\n<p>To reduce the contribution of noise in the structure tensor,</p>\n\n<p>image channels are weighted according to a blind estimator of</p>\n\n<p>contrast. The method is applied to biological volume delineation</p>\n\n<p>in dynamic PET imaging, and validated on realistic Monte Carlo</p>\n\n<p>simulations of numerical phantoms as well as on real images.</p>", 
  "creator": [
    {
      "affiliation": "Universit\u00e9 Fran\u00e7ois-Rabelais de Tours, INSERM U930 Imaging and Brain, Tours 37032, France", 
      "@type": "Person", 
      "name": "Jaouen, Vincent"
    }, 
    {
      "affiliation": "Universit\u00e9 Fran\u00e7ois-Rabelais de Tours, INSERM U930 Imaging and Brain, Tours 37032, France and Universidad Cat\u00f3lica del Maule, Talca, Chile", 
      "@type": "Person", 
      "name": "Gonz\u00e1lez, Paulo"
    }, 
    {
      "affiliation": "Commissariat \u00e0 l\u2019\u00e9nergie Atomique, Institut d\u2019Imagerie Biom\u00e9dicale, Service Hospitalier Fr\u00e9d\u00e9ric Joliot, Orsay 91405, France", 
      "@type": "Person", 
      "name": "Stute, Simon"
    }, 
    {
      "affiliation": "Universit\u00e9 Fran\u00e7ois-Rabelais de Tours, INSERM U930 Imaging and Brain, Tours 37032, France", 
      "@type": "Person", 
      "name": "Guilloteau, Denis"
    }, 
    {
      "affiliation": "Universit\u00e9 Fran\u00e7ois-Rabelais de Tours, INSERM U930 Imaging and Brain, Tours 37032, France", 
      "@type": "Person", 
      "name": "Chalon, Sylvie"
    }, 
    {
      "affiliation": "Commissariat \u00e0 l\u2019\u00e9nergie Atomique, Institut d\u2019Imagerie Biom\u00e9dicale, Service Hospitalier Fr\u00e9d\u00e9ric Joliot, Orsay 91405, France", 
      "@type": "Person", 
      "name": "Buvat, Ir\u00e8ne"
    }, 
    {
      "affiliation": "Universit\u00e9 Fran\u00e7ois-Rabelais de Tours, INSERM U930 Imaging and Brain, Tours 37032, France", 
      "@type": "Person", 
      "name": "Tauber, Clovis"
    }
  ], 
  "headline": "Variational segmentation of vector-valued images with gradient vector flow.", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2014-09-04", 
  "url": "https://zenodo.org/record/16053", 
  "keywords": [
    "deformable models", 
    "dynamic PET", 
    "gradient vector flow", 
    "structure tensor"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.1109/TIP.2014.2353854", 
  "@id": "https://doi.org/10.1109/TIP.2014.2353854", 
  "@type": "ScholarlyArticle", 
  "name": "Variational segmentation of vector-valued images with gradient vector flow."
}
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