title: Semiautomated method for noise reduction and background phase error correction in MR phase velocity data.
abstract: Background phase distortion and random noise can adversely affect the quality of magnetic resonance (MR) phase velocity measurements. A semiautomated method has been developed that substantially reduces both effects. To remove the background phase distortion, the following steps were taken: The time standard deviations of the phase velocity images over a cardiac cycle were calculated. Static regions were identified as those in which the standard deviation was low. A flat surface representing an approximation to the background distortion was fitted to the static regions and subtracted from the phase velocity images to give corrected phase images. Random noise was removed by setting to zero those regions in which the standard deviation was high. The technique is demonstrated with a sample set of data in which the in-plane velocities have been measured in an imaging section showing the left ventricular outflow tract of a human left ventricle. The results are presented in vector and contour form, superimposed on the conventional MR angiographic images.
authors.affiliation: School of Chemical Engineering, Georgia Institute of Technology, Atlanta 30332-0100.
authors.forename: P G
authors.initials: PG
authors.lastname: Walker
authors.forename: G B
authors.initials: GB
authors.lastname: Cranney
authors.forename: M B
authors.initials: MB
authors.lastname: Scheidegger
authors.forename: G
authors.initials: G
authors.lastname: Waseleski
authors.forename: G M
authors.initials: GM
authors.lastname: Pohost
authors.forename: A P
authors.initials: AP
authors.lastname: Yoganathan
mesh_terms: D001783:Blood Flow Velocity; D006321:Heart / Q000033:anatomy & histology / Q000502:physiology; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*