English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Meeting Abstract

Fast volumetric Cartesian MRI with auto-calibrated local B0 coil array – a reproducing kernel Hilbert space perspective

MPS-Authors
/persons/resource/persons246153

Tian,  R       
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons293156

Holder,  O
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84984

Steffen,  T
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84187

Scheffler,  K       
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Tian, R., Uecker, M., Holder, O., Steffen, T., & Scheffler, K. (2024). Fast volumetric Cartesian MRI with auto-calibrated local B0 coil array – a reproducing kernel Hilbert space perspective. In ISMRM & ISMRT Annual Meeting & Exhibition 2024 (pp. 523).


Cite as: https://hdl.handle.net/21.11116/0000-000F-39A2-A
Abstract
Motivation: The local B coil array has been shown to speed up 2D Cartesian MRI and provides a platform for investigating the most efficient B encoding fields. Nevertheless, optimizing the rapid modulations for accelerating volumetric scans without introducing additional artifacts becomes more challenging. Goal(s): We explore distinct nonlinear modulation B fields and reconstruct artifact-free accelerated images. Approach: With a recent RKHS framework, the k-space efficiency maps for various modulation fields are analyzed, and a novel auto-calibration reconstruction method is introduced. Results: Our k-space analysis provides insights validating optimal modulation fields, and the ex-vivo and in-vivo scans demonstrate the robustness of the proposed reconstruction technique. Impact: We demonstrate the RKHS formalism as a valuable tool for understanding 3D MRI scans encoded with nonlinear modulation fields. Our auto-calibration reconstruction, analogous to GRAPPA in parallel imaging, offers a promising approach for image acceleration with rapid B modulation.