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Registration for 3D Morphological Comparison of Brain Aneurysm Growth

  • Carl Lederman
  • Luminita Vese
  • Aichi Chien
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6938)

Abstract

Recent advancements in 3D imaging technology have helped the early detection of brain aneurysms before aneurysm rupture. Developing management strategies for aneurysms has been an active research area. Because some unruptured aneurysms are followed up with medical images over years, there is an immediate need for methods to quantitatively compare aneurysm morphology to study the growth. We present a novel registration method which utilized the volumetric elastic model specifically for this medical application. Validations to test the accuracy of the algorithm using phantom models were performed to determine the robustness of the method. Examples of the medical application using aneurysm images are shown and compared with their clinical presentation.

Keywords

Target Vessel Registration Method Aneurysm Rupture Unruptured Aneurysm Dice Coefficient 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Carl Lederman
    • 1
  • Luminita Vese
    • 1
  • Aichi Chien
    • 2
  1. 1.Department of MathematicsUniversity of CaliforniaLos AngelesUSA
  2. 2.Division of Interventional Neuroradiology, Department of Radiological SciencesUniversity of CaliforniaLos AngelesUSA

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