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Three-dimensional cardiac T1 mapping using subspace and sparsity constrained direct estimation
Thibault Marin1, Paul K. Han1, Yue Zhuo1, Yanis Djebra1,2, Fang Liu1, Georges El Fakhri1, and Chao Ma1
1Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 2LTCI, Telecom Paris, Institut Polytechnique de Paris, Paris, France

 

Cardiac T1 mapping is a valuable tool to assess myocardial structure and assess cardiomyopathies.  We develop a direct estimation method for estimation of 3D cardiac T1 mapping using subspace modeling and physical modeling though the Bloch equation.

Figure 4. T1 mapping result. T1 maps obtained by simple fitting of low-rank reconstruction (top row), the proposed direct estimation method (middle row) and MOLLI (bottom row) are shown over multiple slices. Green arrows indicate regions in the myocardium where the Fit (top row) and Direct (middle row) differ. The T1 maps from the proposed method better match those from MOLLI, with correction of artifacts resulting in overestimation of T1 values within the myocardium.
Figure 2. MR images at different time frames. Top-row shows images from low-rank reconstruction (LR). The central row shows synthesized images obtained from a T1 model fit of the low-rank reconstruction (Fit). The bottom row shows temporal images obtained using the proposed direct method (Direct). Low-rank reconstructions are degraded by aliasing artifacts, which are reduced in synthesized images obtained from T1 model fitting. The proposed method shows improvement by further reducing the artifacts.