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Abstract #0587

A Joint Image Denoising Approach for Improved Precision and Accuracy in Myocardial T1 Mapping

Aurelien Bustin1,2,3, Pauline Ferry3, Andrei Codreanu4, Anne Menini2, and Freddy Odille3,5,6

1Department of Computer Science, Technische Universität München, Munich, Germany, 2GE Global Research, Munich, Germany, 3Imagerie Adaptative Diagnostique et Interventionnelle, Universite de Lorraine, Nancy, France, 4Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg, 5CIC-IT 1433, INSERM, Nancy, France, 6U947, INSERM, Nancy, France

To improve precision and accuracy in myocardial T1 mapping by combining saturation-recovery acquisitions with a joint denoising method. The proposed method is shown to improve mapping techniques by exploiting the spatiotemporal correlations in the native T1-weighted images, thus providing a promising tool for the measurement of myocardial and blood T1 times.

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