Level Set Based Surface Capturing in 3D Medical Images

Authors:
Bin Dong;Aichi Chien;Yu Mao;Jian Ye;Stanley Osher
Affiliations:
Department of Mathematics, University of California, Los Angeles,;Division of Interventional Neuroradiology, David Geffen School of Medicine at UCLA, , Los Angeles, 10833;Department of Mathematics, University of California, Los Angeles,;Department of Mathematics, University of California, Los Angeles,;Department of Mathematics, University of California, Los Angeles,
Venue:
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Year:
2008

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Abstract

Brain aneurysm rupture has been reported to be directly related to the size of aneurysms. The current method used to determine aneurysm size is to manually measure the width of the neck and height of the dome on a computer screen. Because aneurysms usually have complicated shapes, using the size of the aneurysm neck and dome may not be accurate and may overlook important geometrical information. In this paper we present a level set based illusory surface algorithm to capture the aneurysms from the vascular tree. Since the aneurysms are described by level set functions, not only the volume but also the curvature of aneurysms can be computed for medical studies. Experiments and comparisons with models used for capturing illusory contours in 2D images are performed. This includes applications to clinical image data demonstrating the procedure of accurately capturing a middle cerebral artery aneurysm.