This study describes a three-dimensional (3D) filtering algorithm for
magnetic resonance angiography (MRA) image enhancement. Based on the p
roperties of 3D MRA data, the algorithm uses the dispersion range of t
he 13 outputs of a 3D directional low-pass filter bank to identify the
vessel structure and control the processing of MRA data. Vascular str
uctures in the data are preserved while the components of static tissu
es and isolated noise impulses are reduced by the processing. As a res
ult, the small vessels have been enhanced and visibility of vessels in
the projected image has been improved.