title: Bandpass optical flow for tagged MRI.
abstract: MR tagging has shown great promise for detailed noninvasive cardiac motion imaging. Our research uses low-frequency tags coupled with gradient-based optical flow estimation to compute cardiac motion. We develop here a novel, fast, fully automated optical flow method for tagged MRI by exploiting the Fourier content of the tagged images. This new method, called bandpass optical flow, works by extracting various subband images from tagged cardiac data, and then formulating multiple optical flow constraints for each subband. The resulting system is solved by least squares pseudo-inversion. The proposed method is validated on simulated and real tagged data.
authors.affiliation: Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, Maryland 21218, USA.
authors.forename: J L
authors.initials: JL
authors.lastname: Prince
authors.forename: S N
authors.initials: SN
authors.lastname: Gupta
authors.forename: N F
authors.initials: NF
authors.lastname: Osman
mesh_terms: D000465:Algorithms; D055592:Biophysical Phenomena; D001703:Biophysics; D005583:Fourier Analysis; D006321:Heart / Q000502:physiology; D006331:Heart Diseases / Q000175:diagnosis / Q000503:physiopathology; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods / Q000706:statistics & numerical data; D008279:Magnetic Resonance Imaging / Q000379:methods* / Q000706:statistics & numerical data; D009068:Movement; D055095:Optics and Photonics