Variable density sampling and non-Cartesian super-resolved reconstruction for spatiotemporally encoded single-shot...

Area of Science:

• Magnetic Resonance Imaging (MRI)
• Medical Imaging Technology

Background:

• Spatiotemporally encoded (SPEN) single-shot MRI is an ultrafast imaging technique.
• Variable density sampling offers advantages over uniform sampling in MRI, potentially reducing artifacts and increasing efficiency.

Purpose of the Study:

• To develop and evaluate a variable density spiral trajectory combined with non-Cartesian super-resolved (SR) reconstruction for SPEN MRI.
• To optimize gradient waveform design for spiral trajectories within hardware constraints.

Main Methods:

• Designed a variable density spiral trajectory optimized for hardware limitations.
• Developed a non-Cartesian SR reconstruction method using a specific gridding approach for SPEN data.
• Validated the methods through numerical simulations and experimental imaging.

Main Results:

• Variable density SPEN MRI demonstrated improved spatial resolution compared to Cartesian methods.
• The proposed technique effectively reduced aliasing artifacts.
• Numerical simulations and experiments confirmed the robustness and efficiency of the developed methods.

Conclusions:

• Variable density SPEN MRI with spiral trajectories and non-Cartesian SR reconstruction offers superior performance.
• The developed methods enhance image quality by improving resolution and minimizing artifacts.
• This approach facilitates advancements in variable density SPEN MRI applications.