A subject-specific nonlinear elliptical affine model performed significantly better than a linear affine model for respiratory motion correction in cardiac MRI (P < 0.05).
Does a subject-specific nonlinear elliptical affine model improve respiratory motion correction in cardiac MRI compared to a linear affine model in healthy volunteers?
A subject-specific nonlinear elliptical affine model improves respiratory motion correction in cardiac MRI and can be constructed from a short 25-second prescan.
p-value: p=< 0.05
Respiratory motion is a major problem in cardiac MRI. In this work, the displacement of the heart relative to the diaphragm was investigated. A subject-specific nonlinear elliptical affine model has been developed to incorporate the effect of hysteresis in motion correction. Nine healthy volunteers participated in a study in which the diaphragm position and an image of the heart were acquired during each cardiac cycle, while breathing freely. The elliptical model was compared to a linear affine model, and the results show that the elliptical model performed significantly (P < 0.05) better than the linear model. Further, it has been established that the model can be constructed from 25 s of prescan data, which makes it feasible to perform a short prescan to construct the model, so that subject-specific prospective motion correction of the heart can be integrated into structural cardiac MRI sequences.
Burger et al. (Mon,) conducted a other in Healthy volunteers (cardiac MRI) (n=9). Subject-specific nonlinear elliptical affine model vs. Linear affine model was evaluated on Model performance for respiratory motion correction (p=< 0.05). A subject-specific nonlinear elliptical affine model performed significantly better than a linear affine model for respiratory motion correction in cardiac MRI (P < 0.05).
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