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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 Universit√§t M√ľnchen, 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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