• DocumentCode
    1385438
  • Title

    Three-dimensional attenuation map reconstruction using geometrical models and free-form deformations [SPECT application]

  • Author

    Battle, X.L. ; Le Rest, C. ; Turzo, A. ; Bizais, Y.

  • Author_Institution
    Lab. de Biophys., Univ. de Bretagne Occidentale, Brest, France
  • Volume
    19
  • Issue
    5
  • fYear
    2000
  • fDate
    5/1/2000 12:00:00 AM
  • Firstpage
    404
  • Lastpage
    411
  • Abstract
    Addresses the issue of using deformable models to reconstruct an unknown attenuation map of the torso from a set of transmission scans. The authors assume the three-dimensional (3-D) distribution of attenuation coefficients to be piecewise uniform. They represent the unknown distribution by a set of closed surfaces defining regions having the same attenuating properties. The methods of reconstruction published so far tend to directly deform the surfaces, the parameters being the surface elements. Rather than deforming the surfaces, the authors explore the possibility of deforming the space in which the geometrical primitives are contained. They focus on the use of free-form deformations (FFD´s) to describe the continuous transformation of space used to match a set of transmission measurements. They illustrate this approach by reconstructing realistically simulated transmission scans of the torso with various noise levels and compare the results to standard reconstruction methods.
  • Keywords
    gamma-ray absorption; image reconstruction; medical image processing; modelling; single photon emission computed tomography; SPECT; closed surfaces; free-form deformations; geometrical models; geometrical primitives; medical diagnostic imaging; nuclear medicine; surface elements; three-dimensional attenuation map reconstruction; torso; transmission scans; unknown attenuation map; Attenuation measurement; Deformable models; Electromagnetic measurements; Extraterrestrial measurements; Image reconstruction; Noise level; Reconstruction algorithms; Solid modeling; Surface reconstruction; Torso; Algorithms; Humans; Image Processing, Computer-Assisted; Lung; Models, Theoretical; Phantoms, Imaging; Spine; Tomography, Emission-Computed, Single-Photon; Tomography, X-Ray Computed;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/42.870251
  • Filename
    870251