• DocumentCode
    791215
  • Title

    Spherical Harmonics Based Intrasubject 3-D Kidney Modeling/Registration Technique Applied on Partial Information

  • Author

    Dillenseger, J.-L. ; Guillaume, H. ; Patard, J.-J.

  • Author_Institution
    Rennes I Univ.
  • Volume
    53
  • Issue
    11
  • fYear
    2006
  • Firstpage
    2185
  • Lastpage
    2193
  • Abstract
    This paper presents a three-dimensional (3-D) shape reconstruction/intrapatient rigid registration technique used to establish a Nephron-Sparing Surgery preoperative planning. The usual preoperative imaging system is the Spiral CT Urography, which provides successive 3-D acquisitions of complementary information on kidney anatomy. Because the kidney is difficult to demarcate from the liver or from the spleen only limited information on its volume or surface is available. In this paper, we propose a methodology allowing a global kidney spatial representation on a spherical harmonics basis. The spherical harmonics are exploited to recover the kidney 3-D shape and also to perform intrapatient 3-D rigid registration. An evaluation performed on synthetic data showed that this technique presented lower performance then expected for the 3-D shape recovering but exhibited registration results slightly more accurate as the iterative closest point technique with faster computation time
  • Keywords
    computerised tomography; image reconstruction; image registration; kidney; medical image processing; physiological models; 3-D shape recovery; Nephron-Sparing Surgery preoperative planning; global kidney spatial representation; intrapatient rigid registration; intrasubject 3-D kidney modeling; iterative closest point technique; partial information; spherical harmonics; spiral CT urography; three-dimensional shape reconstruction; Anatomy; Cancer; Computed tomography; Image reconstruction; Liver; Neoplasms; Oncological surgery; Shape; Surface reconstruction; Surges; 3-D modeling; 3-D rigid registration; Nephron-sparing surgery; spherical harmonics; Algorithms; Artificial Intelligence; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Kidney; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique; Tomography, Spiral Computed;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2006.883653
  • Filename
    1710159