What type of study is this?

This is a Experimental Study study.

September 17, 2025

Implementation and expansion of an analytic framework for generating spiral trajectories

Key Points

New spiral trajectories enhance image quality, leading to reduced scan times of 2-6 times compared to Cartesian methods.
The updated analytical algorithm optimizes gradient moment nulling and modularity, improving implementation for users in clinical settings.
Multiple versions of spiral waveforms were successfully tested on a clinical scanner, demonstrating promising results.
Providing source code supports further developments and adaptations in spiral MRI applications.

Abstract

Motivation: Spiral MRI is SNR efficienct and temporally efficient, but is comlicated to implement and optimize. Goal(s): To extend a previous analytical algorithm for deriving spiral trajectory gradients and improve the user's ability to implement and optimize them. Approach: We extended a previous analytical algorithm for generating spiral trajectories by (1) slightly bending the end of the trajectory to facilitate its modularity and (2) adding an algorithm to optimize the gradient moment nulling of that waveform. Several versions of spiral waveforms were implemented on a clinical scanner. Results: The resulting images were promising. The source code is provided. Impact: This will help to enable spiral MRI, which may improve image quality and reduced scan times by 2-6X over conventional Cartesian methods with no loss in image quality.

Mark Helpful

Bookmark

Relay