Literature DB >> 18979744

Level set based surface capturing in 3D medical images.

Bin Dong1, Aichi Chien, Yu Mao, Jian Ye, Stanley Osher.   

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.

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Year:  2008        PMID: 18979744     DOI: 10.1007/978-3-540-85988-8_20

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  4 in total

1.  Automatic intracranial space segmentation for computed tomography brain images.

Authors:  C Adamson; A C Da Costa; R Beare; A G Wood
Journal:  J Digit Imaging       Date:  2013-06       Impact factor: 4.056

2.  Nonsphericity Index and Size Ratio Identify Morphologic Differences between Growing and Stable Aneurysms in a Longitudinal Study of 93 Cases.

Authors:  A Chien; M Xu; H Yokota; F Scalzo; E Morimoto; N Salamon
Journal:  AJNR Am J Neuroradiol       Date:  2018-01-25       Impact factor: 3.825

3.  Self-parameterized active contours based on regional edge structure for medical image segmentation.

Authors:  Eleftheria A Mylona; Michalis A Savelonas; Dimitris Maroulis
Journal:  Springerplus       Date:  2014-08-11

4.  Active Contours Driven by Multi-Feature Gaussian Distribution Fitting Energy with Application to Vessel Segmentation.

Authors:  Lei Wang; Huimao Zhang; Kan He; Yan Chang; Xiaodong Yang
Journal:  PLoS One       Date:  2015-11-16       Impact factor: 3.240

  4 in total

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