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MICCAI
1999
Springer

Statistical 3D Vessel Segmentation Using a Rician Distribution

10 years 6 months ago
Statistical 3D Vessel Segmentation Using a Rician Distribution
Abstract. This paper presents an extended version of the fully automated 3D cerebral vessel reconstruction algorithm developed by Wilson and Noble [11] which is applicable to time-of-flight (TOF) and phase contrast (PC) magnetic resonance angiography (MRA) images. We introduce a Rician distribution for background noise modelling and use a modified EM (Expectation-Maximisation) algorithm for the parameter estimation procedure. The proposed algorithm is applied to PC-MRA images. It is shown that the estimated Rician distribution gives a better quality-of-fit to the observed background noise distribution than a Gaussian distribution. In the experiments reported, the segmented 3D vasculature is shown to be qualitatively comparable with the results obtained from higher resolution TOF MRA images. Keywords : PC/TOF MRA, Vessel Segmentation, EM Algorithm, GDC (Guglielmi Detachable Coil) Treatment, Endovascular Treatment of Intracranial Aneurysms, Neuorology.
Albert C. S. Chung, J. Alison Noble
Added 04 Aug 2010
Updated 04 Aug 2010
Type Conference
Year 1999
Where MICCAI
Authors Albert C. S. Chung, J. Alison Noble
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