• DocumentCode
    1750058
  • Title

    Detection of blood vessels for radio-frequency ablation treatment planning

  • Author

    Yim, Peter J. ; Marcos, Hani B. ; Choyke, Peter L. ; Hvizda, Julia L. ; Libutti, Steven K. ; Wood, Bradford J.

  • Author_Institution
    Imaging Sci. Program, Nat. Inst. of Health, Bethesda, MD, USA
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    123
  • Lastpage
    126
  • Abstract
    Radiofrequency ablation (RFA) is a minimally-invasive image-guided method for the local destruction of tumors. Successful ablation, or burning, of tumors, is impeded by blood flow in the vicinity of the tumor that tends to cool the tissue. We have developed methods for visualizing the tumors and their spatial relation to blood vessels for the purpose of treatment planning. We apply these methods to hepatic tumors. The visualization method employs contrast-enhanced (Gd-DTPA) magnetic resonance angiography (MRA) and magnetic resonance venography (MRV). The arteries and veins are delineated using the ordered region-growing (ORG) skeletonization algorithm. Tumors are contoured manually. A shaded surface display is generated that includes arteries, veins and tumors. This 3D map is to be used to optimize treatment planning and to better limit the effects of perfusion on tumor ablation. A better understanding of the relationship of blood vessel location, size and flow to thermal lesions could facilitate improved patient outcomes
  • Keywords
    biomedical MRI; biothermics; blood vessels; cellular effects of radiation; cooling; feature extraction; haemodynamics; haemorheology; image thinning; liver; medical image processing; planning; radiation therapy; tumours; 3D map; Gd-DTPA contrast-enhanced magnetic resonance angiography; RF ablation treatment planning; artery delineation; blood flow; blood vessel detection; blood vessel location; blood vessel size; hepatic tumours; local tumour destruction; magnetic resonance venography; manual contouring; minimally-invasive image-guided method; optimized patient treatment plan; ordered region-growing skeletonization algorithm; patient outcomes; perfusion; shaded surface display; spatial relation; thermal lesions; tissue cooling; tumour burning; tumour visualization; vein delineation; Arteries; Biomedical imaging; Blood flow; Blood vessels; Impedance; Magnetic resonance; Neoplasms; Radio frequency; Veins; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 2001. CBMS 2001. Proceedings. 14th IEEE Symposium on
  • Conference_Location
    Bethesda, MD
  • ISSN
    1063-7125
  • Print_ISBN
    0-7695-1004-3
  • Type

    conf

  • DOI
    10.1109/CBMS.2001.941708
  • Filename
    941708