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.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.