Premium
Vessel enhancement filtering in three‐dimensional MR angiograms using long‐range signal correlation
Author(s) -
Du Yiping P.,
Parker Dennis L.
Publication year - 1997
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.1880070234
Subject(s) - correlation , signal (programming language) , range (aeronautics) , medicine , biomedical engineering , radiology , computer science , materials science , mathematics , geometry , composite material , programming language
Small vessels in three‐dimensional MR angiograms have low visibility in maximum‐intensity projection images because of their low contrast. In a previous study, we had two nonlinear filters that appeared to give significant improvement in small vessel detail. In this paper, we report on a generalization of this filter that allows a more general modeling of the vessels and a more complete suppression of background. One implementation of the general filter gave a vessel mean contrast‐to‐noise ratio that is 2.52 and 3.51 times higher than the vessel mean contrast‐to‐noise ratio obtained using our previously reported maximum‐minimum (max‐min) filter and cross‐ section filter, respectively.