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Abstract #4599

High-Resolution Free Breathing LGE With Cascaded Compressed Sensing, Automatic Frame Selection and Integrated Motion Correction

Wolfgang G Rehwald1,2, Céleste Chevalier2, Stephen Darty2, Sherilyn Pirela2, Jennifer Shelton2, Susan Bender2, Nestor Mena2, George Gamoneda2, Kayla Morabito2, Tulio Bonesi Alvarenga2, Han Kim2, David Wendell2, and Raymond Kim2
1US MR Collaborations, Siemens Healthineers, Durham, NC, United States, 2Duke Cardiovascular MR Center, Duke University Medical Center, Durham, NC, United States

Synopsis

Keywords: Image Reconstruction, Image Reconstruction, Compressed Sensing

Motivation: We noticed that free breathing motion corrected averaged single shot (FB MOCO AVG 1S) SSFP LGE is not as T1-sensitive as segmented breath held (BH) GRE.

Goal(s): Therefore, we aimed to create a GRE version of FB MOCO AVG 1S combining the T1-sensitivity of segmented BH GRE with the versatility of FB MOCO AVG 1S.

Approach: Compressed sensing (CS) enabled a T1-sensitive GRE readout with high SNR, spatial and temporal resolution traditionally only achievable by SSFP.

Results: We created a CS GRE FB MOCO AVG 1S technique with improved sharpness, SNR, and T1-sensitivity compared to existing FB SSFP and equal to BH GRE.

Impact: The proposed free breathing compressed sensing GRE LGE technique could enable studying subtle hyperenhancement concurrent with non-ischemic disease, sometimes not picked up by SSFP. Patients unable to breath hold can be included in studies traditionally only feasible with breath holds.

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Keywords