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Abstract #0342

A High Signal-to-Interference Ratio Two-dimensional Reduced-FOV Imaging Method

Pei Yuan1, Jiantai Zhou 1, Changliang Wang1, Kaiwen Lin1, Penghui Luo1, Fulang Qi1, Lin Chen2, and Bensheng Qiu1
1Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China, 2Institute of Advanced Technology, University of Science and Technology of China, Hefei, China

Synopsis

Keywords: Artifacts, Data Acquisition, reduced filed-of-view imaging, 2D spiral RF pulse, signal suppression, artifacts

Motivation: To introduce a 2D spiral RF pulse and an image post-processing method for outer volume suppression, enhancing signal-to-interference ratio (SIR) and eliminating wrap-around artifacts in 2D reduced field of view (rFOV) imaging.

Goal(s): Using a 2D rFOV pulse to achieve rFOV imaging, signals within the excitation region are preserved while peripheral signals and artifacts are eliminated.

Approach: We extend the original channels to virtual channels by leveraging linear dependencies in local k-space neighborhoods and combining them based on ROVir's principle to enhance the image quality of 2D rFOV.

Results: The approach significantly enhances residual signal suppression, eliminates artifacts, and improves image quality.

Impact: Our method integrates k-space local linear dependencies with the ROVir principle, effectively improving peripheral signal suppression in 2D rFOV imaging, enhancing SIR, and eliminating wrap-around artifacts. It can be applied in various applications, including specific organ imaging and real-time imaging.

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Keywords