Removing Background Velocity Errors in PC-MRI with Optimized Spoiler Gradient Waveforms

Motivation: Background velocity errors caused by eddy currents and mechanical oscillations in PC-MRI are a significant source of measurement error for which prospective corrections remain unavailable. Goal(s): To prospectively design spoiler gradient waveforms that reduce background velocity errors to levels generally considered irrelevant. Approach: A gradient optimization toolbox (GrOpt) was used in conjunction with a gradient impulse response to design error-minimizing waveforms. They were tested in a phantom and in 10 volunteers. Results: Background velocity errors were reduced by 84±10.4% with the gradient spoiler optimization and to levels below a clinically relevant threshold (0.4% Venc) in 96% of subjects. Impact: We used a gradient optimization (GrOpt) toolbox and the gradient impulse response function to prospectively design spoiler gradient waveforms that reduce background velocity errors in PC-MRI to levels below a clinically relevant threshold in 96% of subjects.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/4775
Citations
2
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.81
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article

Removing Background Velocity Errors in PC-MRI with Optimized Spoiler Gradient Waveforms

Michael Loecher, Daniel B. Ennis
2 citations
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Advanced MRI Techniques and Applications
0.81
article

Removing Background Velocity Errors in PC-MRI with Optimized Spoiler Gradient Waveforms

Michael Loecher, Daniel B. Ennis
article en
2 citations

Abstract

Motivation: Background velocity errors caused by eddy currents and mechanical oscillations in PC-MRI are a significant source of measurement error for which prospective corrections remain unavailable. Goal(s): To prospectively design spoiler gradient waveforms that reduce background velocity errors to levels generally considered irrelevant. Approach: A gradient optimization toolbox (GrOpt) was used in conjunction with a gradient impulse response to design error-minimizing waveforms. They were tested in a phantom and in 10 volunteers. Results: Background velocity errors were reduced by 84±10.4% with the gradient spoiler optimization and to levels below a clinically relevant threshold (0.4% Venc) in 96% of subjects. Impact: We used a gradient optimization (GrOpt) toolbox and the gradient impulse response function to prospectively design spoiler gradient waveforms that reduce background velocity errors in PC-MRI to levels below a clinically relevant threshold in 96% of subjects.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Affordable and clean energy
Openalex Percentile: Top 24%
Advanced MRI Techniques and Applications
0.81
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