Registration for 3D morphological comparison of brain aneurysm growth

Authors:
Carl Lederman;Luminita Vese;Aichi Chien
Affiliations:
Department of Mathematics, University of California, Los Angeles, CA;Department of Mathematics, University of California, Los Angeles, CA;Department of Radiological Sciences, University of California, Los Angeles, CA
Venue:
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
Year:
2011

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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.