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Abstract #3311

Metamaterial-aided reconstruction of under-sampled k-spaces

Ilseok Lee1, Daniel Hoinkiss2, Jörn Huber2, Dennis Philipp1,2, Johannes Müller1, and Matthias Günther1,2,3
1University of Bremen, Bremen, Germany, 2Imaging Physics, Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany, 3mediri GmbH, Heidelberg, Germany, Heidelberg, Germany

Synopsis

Keywords: Image Reconstruction, Acquisition Methods

Motivation: Reconstruction with metamaterials has been sparsely explored; a new reconstruction approach utilizing metamaterials is introduced, enabling even faster acquisition.

Goal(s): With coil sensitivities enhanced by metamaterials, under-sampled k-spaces can be filled for faster acquisition.

Approach: Different configurations of the metamaterials alter coil sensitivities. From each coil sensitivity, one k-space line at the lowest phase encoding is acquired using an MRI simulator. Variations in coil sensitivity shapes enable the filling of missing k-space lines.

Results: With reconfigurable metamaterials, other phase-encoded k-space lines can be obtained as rapidly as those acquired through frequency encoding.

Impact: Reducing acquisition time improves patient comfort and reduces motion artifacts. To achieve further acceleration, however, the frequency encoding should be under-sampled. While the method presented in this abstract can theoretically accomplish this, new configurations of metamaterials must be investigated.

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