دورية أكاديمية
Statistical 3d vessel segmentation using a rician distribution
العنوان: | Statistical 3d vessel segmentation using a rician distribution |
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المؤلفون: | Albert C. S. Chung, J. Alison Noble |
المساهمون: | The Pennsylvania State University CiteSeerX Archives |
المصدر: | http://www.cs.ust.hk/~achung/miccai99_chung_noble.pdfTest. |
بيانات النشر: | Springer |
سنة النشر: | 1999 |
المجموعة: | CiteSeerX |
مصطلحات موضوعية: | PC/TOF MRA, Vessel Segmentation, EM Algorithm, GDC (Guglielmi Detachable Coil) Treatment, Endovascular Treatment of Intracranial Aneurysms, Neuorology |
الوصف: | 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. |
نوع الوثيقة: | text |
وصف الملف: | application/pdf |
اللغة: | English |
العلاقة: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.75.2885Test; http://www.cs.ust.hk/~achung/miccai99_chung_noble.pdfTest |
الإتاحة: | http://www.cs.ust.hk/~achung/miccai99_chung_noble.pdfTest |
حقوق: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
رقم الانضمام: | edsbas.A74C9B79 |
قاعدة البيانات: | BASE |
الوصف غير متاح. |