Exact, time-dependent analytical equations for spiral trajectories and matching gradient and density-correction waveforms.

IF 3 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Guruprasad Krishnamoorthy, James G Pipe
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引用次数: 0

Abstract

Purpose: To analytically define a spiral waveform and trajectory that match the constraints of gradient frequency, slew rate, and amplitude.

Theory and methods: Piecewise analytical solutions for gradient waveforms under the desired constraints are derived using the circle of an involute rather than an Archimedean spiral. Also given are the analytical equations for the time-dependent k-space trajectory and sampling density compensation weights, and analytical expressions for the time dependence of data acquisition in k-space. Open-source software implementing all these equations is shared. Performance is measured against numerically derived solutions to an Archimedean spiral. Scanner implementation is illustrated.

Results: The performance of the proposed equations is very similar to that of numerically derived solutions, but this method is much easier to implement and analyze.

Conclusion: The proposed method, WHIRLED PEAS (Winding Hybrid Interleaved Radial Lines Encoding Described by Piecewise Exact Analytical Solution), is an easy-to-implement solution for spiral MRI that performs comparable to optimal numerical designs.

精确的,随时间的解析方程螺旋轨迹和匹配梯度和密度校正波形。
目的:分析定义符合梯度频率、摆速和幅值约束的螺旋波形和轨迹。理论和方法:在期望的约束下,梯度波形的分段解析解是用渐开线圆而不是阿基米德螺旋导出的。同时给出了随时间变化的k空间轨迹和采样密度补偿权值的解析表达式,以及k空间数据采集随时间变化的解析表达式。实现所有这些方程式的开源软件是共享的。性能是根据阿基米德螺旋的数值推导解来测量的。扫描器的实现是图解的。结果:所提方程的性能与数值解非常相似,但该方法更容易实现和分析。结论:所提出的方法,WHIRLED PEAS(由分段精确解析解描述的缠绕混合交错径向线编码),是一种易于实现的螺旋MRI解决方案,其性能可与最佳数值设计相媲美。
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来源期刊
CiteScore
6.70
自引率
24.20%
发文量
376
审稿时长
2-4 weeks
期刊介绍: Magnetic Resonance in Medicine (Magn Reson Med) is an international journal devoted to the publication of original investigations concerned with all aspects of the development and use of nuclear magnetic resonance and electron paramagnetic resonance techniques for medical applications. Reports of original investigations in the areas of mathematics, computing, engineering, physics, biophysics, chemistry, biochemistry, and physiology directly relevant to magnetic resonance will be accepted, as well as methodology-oriented clinical studies.
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