A Model-Based Compressed Sensing Method for Fast Cardiac T1 Mapping in Small Animals
نویسندگان
چکیده
Introduction Direct measurement of the longitudinal relaxation time T1 provides objective and quantitative diagnostic information. However, current T1 mapping methods are generally time consuming without the aid of fast imaging. The current study developed a model-based compressed sensing (CS) method for fast cardiac T1 mapping in small animals. Based on the physics of magnetization recovery, the aliasing noises associated with under-sampling was removed by exploiting the sparsity of the signals in the T1 recovery direction. Simulation and imaging studies on phantom and in vivo mouse were performed to evaluate the accuracy of different reconstruction approaches at various experimental conditions. Our results suggest that current CS method, when combined with saturation recovery Look-Locker method (SRLL) (1), allows fast (<80 s) T1 mapping of the mouse heart at high spatial resolution (234x469 μm).
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