• DocumentCode
    1813504
  • Title

    Silhouette fusion of vascular and anatomical volume data

  • Author

    Ruijters, Daniel ; Babic, Drazenko ; Romeny, Bart M ter Haar ; Suetens, Paul

  • Author_Institution
    X-Ray Predevelopment, Philips Medical Syst., Best
  • fYear
    2006
  • fDate
    6-9 April 2006
  • Firstpage
    121
  • Lastpage
    124
  • Abstract
    In this paper we present a novel method for the combined hybrid visualization of the cerebral blood vessels, segmented from a 3D rotational angiography dataset, and datasets containing the soft tissue anatomy, such as CT or MR. This visualization method is targeted at the use in interventional treatment of vascular pathologies and endovascular treatment of the neoplastic tissue. Our method distinguishes itself since it offers the possibility to provide the clinician with a maximum amount of contextual information about the spatial relationship and topology of both datasets, without compromising the ease of use and interpretation. Further it is discussed how an interactive visualization can be implemented on off-the-shelf graphics hardware, and it is indicated which clinical benefits can be achieved
  • Keywords
    biomedical MRI; blood vessels; brain; computerised tomography; diagnostic radiography; image segmentation; medical image processing; 3D rotational angiography dataset; CT; MR; anatomical volume data; endovascular treatment; hybrid cerebral blood vessel visualization; image segmentation; interactive visualization; interventional treatment; neoplastic tissue; off-the-shelf graphics hardware; silhouette fusion; soft tissue anatomy; vascular pathologies; vascular volume data; Anatomy; Angiography; Biological tissues; Blood vessels; Data visualization; Graphics; Hardware; Pathology; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    0-7803-9576-X
  • Type

    conf

  • DOI
    10.1109/ISBI.2006.1624867
  • Filename
    1624867