Real-time cardiac MRI using prior spatial-spectral information.
Cardiac MRI performed while the patient is breathing is typically achieved using non-real-time techniques such as ECG triggering with respiratory gating; however, modern dynamic imaging techniques are beginning to enable this type of imaging in real-time. One of these dynamic imaging techniques is based on forming a Partially Separable Function (PSF) model of the data, but the model fitting process is known to be sensitive even when truncated SVD regularization is used. As a result, physiologically meaningless artifacts can appear in the dynamic images when the total number of measurements is limited. To address this issue, the dynamic imaging problem is formulated as a generalized Tikhonov regularization problem with the PSF model as a component of the forward data model, and a penalty function is used to introduce spatial-spectral prior information. This new method both reduces data acquisition requirements and improves stability relative to the original PSF based method when applied to cardiac MRI.
Brinegar
Cornelius
C
Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 1406 West Green Street, Urbana, IL 61801, USA.
Zhang
Haosen
H
Wu
Yi-Jen L
YJ
Foley
Lesley M
LM
Hitchens
T
T
Ye
Qing
Q
Pocci
Darren
D
Lam
Fan
F
Ho
Chien
C
Liang
Zhi-Pei
ZP
D000465:Algorithms; D000818:Animals; D016477:Artifacts; D004562:Electrocardiography / Q000379:methods; D005583:Fourier Analysis; D006321:Heart / Q000033:anatomy & histology*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D019047:Phantoms, Imaging; D051381:Rats