Three-dimensional velocity field reconstruction.
The problem of inter-slice magnetic resonance (MR) image reconstruction is encountered often in medical imaging applications, in such scenarios, there is a need to approximate information not captured in contiguously acquired MR images due to hardware sampling limitations. In the context of velocity field reconstruction, these data are required for visualization and computational analyses of flow fields to be effective. To provide more complete velocity information, a method has been developed for the reconstruction of flow fields based on adaptive control grid interpolation (ACGI). In this study, data for reconstruction were acquired via MRJ from in vitro models of surgically corrected pediatric cardiac vasculatures. Reconstructed velocity fields showed strong qualitative agreement with those obtained via other acquisition techniques. Quantitatively reconstruction was shown to produce data of comparable quality to accepted velocity data acquisition methods. Results indicate that ACGI-based velocity field reconstruction is capable of producing information suitable for a variety of applications demanding three-dimensional in vivo velocity data.
Frakes
David
D
Georgia Institute of Technology, Atlanta, GA 30332, USA.
Smith
Mark
M
de Zélicourt
Diane
D
Pekkan
Kerem
K
Yoganathan
Ajit
A
D000465:Algorithms; D001783:Blood Flow Velocity; D001794:Blood Pressure; D003198:Computer Simulation; D018610:Heart Bypass, Right / Q000379:methods*; D006330:Heart Defects, Congenital / Q000503:physiopathology / Q000601:surgery; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D019028:Magnetic Resonance Imaging, Cine / Q000295:instrumentation / Q000379:methods*; D008955:Models, Cardiovascular; D019047:Phantoms, Imaging; D011379:Prognosis; D011651:Pulmonary Artery / Q000503:physiopathology* / Q000601:surgery; D014684:Venae Cavae / Q000503:physiopathology* / Q000601:surgery