Abstract #3874

Accelerated Multicontrast Volumetric Imaging Using Compressed Sensing Parallel Imaging Reconstruction with Low Rank and Spatially Varying Edge-Preserving Constraints: In-Vivo Preclinical Validation for High-Resolution Myocardial Infarction Characterization

Li Zhang^1,2 and Graham Wright^1,2

¹Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, ²Schulich Heart Research Program and Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada

To improve characterization of myocardial infarction using high-resolution multicontrast volumetric imaging, this work presents a new compressed sensing parallel imaging reconstruction using low rank and spatially varying edge-preserving constraints. The proposed method was validated in vivo in preclinical studies on pigs with chronic myocardial infarction with comparison to histopathology, demonstrating the promise of robust reconstruction of fine image detail from a single breath-hold multicontrast acquisition at an isotropic resolution of 1.5mm.

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