• DocumentCode
    1856571
  • Title

    Intra subject 3D/3D Kidney Registration using Local Mutual Information Maximization

  • Author

    Hui Tang ; Dillenseger, J.-L. ; Li Min Luo

  • Author_Institution
    Southeast Univ., Nanjing
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    6379
  • Lastpage
    6382
  • Abstract
    One of the goal of the Nephron-Sparing surgery properative planning is to delineate as exactly as possible the renal carcinoma and to specify its relations to the renal arterial, venous and collecting system anatomies. The classical preoperative imaging system is the spiral CT urography, which gives sucessive 3D acquisitions of complementary information The integration of this information within the a patient specific anatomical referential can be achieved by intra-patient registration techniques. A local MI maximization registration method is proposed in this paper. The kidneys are extracted from the abdomen volumes and then the registration between the extracted kidneys is implemented by maximizing the MI between them. The experimental results demonstrates that this method is effective.
  • Keywords
    cancer; image registration; kidney; MI maximization registration; Nephron-Sparing surgery preoperative planning; intra subject 3D/3D kidney registration; local mutual information maximization; preoperative imaging system; renal carcinoma; spiral CT urography; Abdomen; Anatomy; Biomedical imaging; Cancer; Computed tomography; Data mining; Mutual information; Neoplasms; Shape; Surges; Humans; Kidney; Kidney Neoplasms; Preoperative Care; Radiographic Image Interpretation, Computer-Assisted; Tomography, X-Ray Computed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4353815
  • Filename
    4353815