This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Ventricular dyssynchrony is an important contributing factor in the development of heart failure symptoms, however detection of this entity is suboptimal with existing imaging techniques. We seek to develop improved methods of detecting and quantifying dyssynchrony using tagged cardiac MRI. To this end, we have designed an MR-compatible motion phantom that simulates physiologic cardiac displacements, velocities, and acceleration. Preliminary results suggest that radial k-space sampling is less sensitive to motion blurring and benefits from viewsharing to a greater extent.