Abstract #0587

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

Aurelien Bustin^1,2,3, Pauline Ferry³, Andrei Codreanu⁴, Anne Menini², and Freddy Odille^3,5,6

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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