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Comparison of Two Restoration Techniques in the Context of 3D Medical Imaging

  • Miguel A. Rodriguez-Florido
  • Karl Krissian
  • Juan Ruiz-Alzola
  • Carl-Fredrik Westin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2208)

Abstract

In this paper, we compare two restoration techniques applied to 3D angiographies and to femoral CT scans. The first technique uses a Partial Derivative Equation and the second one is based on an extension of adaptive Wiener filters. We first present each method. Then, we discuss and compare the estimation of the local orientations in 3D images obtained either by the smoothed gradient and the principal curvature directions or by the eigenvectors of the structure tensor. A good estimation of the orientations is essential because it directs the restoration process. Finally, we compare the restored images on both synthetic and real images for the two studied applications.

Keywords

Real Image Noisy Image Structure Tensor Synthetic Image Restoration Technique 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Miguel A. Rodriguez-Florido
    • 1
  • Karl Krissian
    • 2
  • Juan Ruiz-Alzola
    • 1
  • Carl-Fredrik Westin
    • 3
  1. 1.Departamento de Señales y ComunicacionesUniversidad de Las Palmas de Gran Canaria — Las PalmasSpain
  2. 2.Departamento de Informática y SistemasUniversidad de Las Palmas de Gran Canaria — Las PalmasSpain
  3. 3.Surgical Planning Lab.BWH — Harvard Medical SchoolBostonUSA

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