Literature DB >> 9090607

Vessel enhancement filtering in three-dimensional MR angiograms using long-range signal correlation.

Y P Du1, D L Parker.   

Abstract

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.

Mesh:

Year:  1997        PMID: 9090607     DOI: 10.1002/jmri.1880070234

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  2 in total

1.  Segmentation of arteries in MPRAGE images of the ventral medial prefrontal cortex.

Authors:  N Penumetcha; B Jedynak; M Hosakere; E Ceyhan; K N Botteron; J T Ratnanather
Journal:  Comput Med Imaging Graph       Date:  2007-10-26       Impact factor: 4.790

2.  A review of coronary vessel segmentation algorithms.

Authors:  Maryam Taghizadeh Dehkordi; Saeed Sadri; Alimohamad Doosthoseini
Journal:  J Med Signals Sens       Date:  2011-01
  2 in total

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