دورية أكاديمية

Statistical 3d vessel segmentation using a rician distribution

التفاصيل البيبلوغرافية
العنوان: Statistical 3d vessel segmentation using a rician distribution
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