Abstract
Accurate and fast estimation of T1 relaxation times is a crucial ingredient for many applications in magnetic resonance imaging [1]. A fast way for T1 estimation is a model-based reconstruction from data obtained with variable flip angles as proposed in [2]. However, this technique requires multiple measurements thus patient movement can degrade the results. In this work we introduce a novel model which combines registration and T1 estimation. A discretization of the new approach is given, including a tailored optimization algorithm. The novel method is compared to conventional reconstruction techniques on 2D software phantom data. With the new method it was possible to improve the relative error in T1 maps from 0.4253 to 0.4049 using the novel algorithm.
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© 2015 Springer-Verlag Berlin Heidelberg
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Heck, C., Benning, M., Modersitzki, J. (2015). Joint Registration and Parameter Estimation of T1 Relaxation Times Using Variable Flip Angles. In: Handels, H., Deserno, T., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2015. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46224-9_38
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DOI: https://doi.org/10.1007/978-3-662-46224-9_38
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