EPTIMA: Echo Planar Time-resolved Imaging derived Millisecond-scale temporal resolution Acquisition

Motivation: Achieving millisecond-scale temporal resolution MRI has the potential to provide exciting insights into fast functional/physiological processes of the brain. Goal(s): Develop a new acquisition method, EPTIMA, that can achieve millisecond-scale temporal resolution, while improving efficiency by acquiring a time-series trial of 2D-images in a single excitation for high robustness to physiological-noise/motion. Approach: EPTIMA captures fast temporal dynamics occurring within the readout by measuring the rate at which the baseline signal evolution is changing, and employs spatiotemporal encodings to acquire a complete time-series trial in a single-excitation. Results: EPTIMA can image rapid electric current changes in a phantom and resolve stable phase/magnitude changes in-vivo. Impact: A new acquisition, EPTIMA, was developed to achieve millisecond-scale temporal resolution and to image ultra-fast dynamic processes of human brain. It improves efficiency by acquiring a time-series trial of 2D-images in a single excitation with high robustness to motion/physiological noises.

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/10.58530/2024/1289
Primary Topic
Photoacoustic and Ultrasonic Imaging
Type
article
Field-Weighted Citation Impact
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article

EPTIMA: Echo Planar Time-resolved Imaging derived Millisecond-scale temporal resolution Acquisition

Lawrence L. Wald, Abbas Sohrabpour, Fuyixue Wang, Padmavathi Sundaram et al.
6 links
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
Photoacoustic and Ultrasonic Imaging
article

EPTIMA: Echo Planar Time-resolved Imaging derived Millisecond-scale temporal resolution Acquisition

Lawrence L. Wald, Abbas Sohrabpour, Fuyixue Wang, Padmavathi Sundaram, Jon̈athan R. Polimeni, Zijing Dong
article en

Abstract

Motivation: Achieving millisecond-scale temporal resolution MRI has the potential to provide exciting insights into fast functional/physiological processes of the brain. Goal(s): Develop a new acquisition method, EPTIMA, that can achieve millisecond-scale temporal resolution, while improving efficiency by acquiring a time-series trial of 2D-images in a single excitation for high robustness to physiological-noise/motion. Approach: EPTIMA captures fast temporal dynamics occurring within the readout by measuring the rate at which the baseline signal evolution is changing, and employs spatiotemporal encodings to acquire a complete time-series trial in a single-excitation. Results: EPTIMA can image rapid electric current changes in a phantom and resolve stable phase/magnitude changes in-vivo. Impact: A new acquisition, EPTIMA, was developed to achieve millisecond-scale temporal resolution and to image ultra-fast dynamic processes of human brain. It improves efficiency by acquiring a time-series trial of 2D-images in a single excitation with high robustness to motion/physiological noises.

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 80%
Photoacoustic and Ultrasonic Imaging
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EPTIMA: Echo Planar Time-resolved Imaging derived Millisecond-scale temporal resolution Acquisition — Lawrence L. Wald, Abbas Sohrabpour, et al. · 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 (2024) | TGRS Research Map | TGRS