A single oscillating waveform-based gradient delay estimation.

IF 2.1 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Bo Li, Xiao Liang, Manuel Taso, Yulin Chang, John A Detre, Ze Wang
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引用次数: 0

Abstract

Purpose: We present a time efficient method to estimate gradient delay using a single oscillating waveform.

Methods: Single oscillating waveform-based gradient delay estimation algorithm (SODA) was proposed. It estimated gradient delays by measuring the relative shifts of echoes acquired at consecutive time points. An acceleration was achieved by a three spin-echo sequence acquiring measurements for all gradient channels within a single excitation. Simulations and phantom experiments were carried out to compare SODA with a reference method. In addition, we monitored the change of the gradient delay over time using an integrated sequence with high gradient amplitude on a 3 T scanner. High-resolution imaging was performed for phantom and in vivo studies to compare images quality with and without gradient delay correction (GDC).

Results: Simulations showed no significant difference in gradient delay estimates when comparing SODA with the reference method for noise levels 1 to 5. The phantom results confirmed strong agreements on delay estimates between SODA with the three spin-echo sequence and the reference method with six pulse repetitions. The gradient delays were observed nearly consistent over time for the scanner. For high-resolution imaging, the reconstruction with GDC exhibit sharper and clearer depictions of images structures than reconstruction without GDC.

Conclusion: SODA can provide accurate gradient delay estimates with short calibration scan time. The three spin-echo sequence can be seamlessly integrated with any host sequence to measure the gradient delay and provide accurate spiral trajectory. It may be a valuable tool for gradient delay correction in spiral imaging.

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来源期刊
Magnetic resonance imaging
Magnetic resonance imaging 医学-核医学
CiteScore
4.70
自引率
4.00%
发文量
194
审稿时长
83 days
期刊介绍: Magnetic Resonance Imaging (MRI) is the first international multidisciplinary journal encompassing physical, life, and clinical science investigations as they relate to the development and use of magnetic resonance imaging. MRI is dedicated to both basic research, technological innovation and applications, providing a single forum for communication among radiologists, physicists, chemists, biochemists, biologists, engineers, internists, pathologists, physiologists, computer scientists, and mathematicians.
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