Leveraging unprecedented ultra-high strength gradients in commercially available MRI for in-vivo diffusion tensor CMR

Motivation: Spin echo diffusion tensor cardiovascular magnetic resonance (DT-CMR) suffers from low SNR and resolution due to the time-consuming motion-compensated encoding gradients required. Goal(s): Shorten TEs for motion compensated spin echo (MCSE) DT-CMR techniques to improve SNR and allow higher spatial resolution using ultra-high strength whole body gradients (200mT/m) newly available in commercially available scanners. Approach: We implemented second order MCSE and acquired data in healthy subjects at peak systole and end diastole with maximum gradient strength of 146mT/m. Results: We demonstrate high quality MCSE DT-CMR data with reduced TEs and higher spatial resolution than on previously available scanners using similar protocols. Impact: Increases in imaging efficiency in DT-CMR enabled by the use of ultra-high strength gradients on commercial MRI systems will deliver shorter scans and improvements in spatial resolution which are vital steps on the road to clinical translation of DT-CMR.

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/10.58530/2024/0910
Citations
1
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.40
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article

Leveraging unprecedented ultra-high strength gradients in commercially available MRI for in-vivo diffusion tensor CMR

Karl Kunze, Andrew D. Scott, Peter Speier, Sònia Nielles‐Vallespin et al.
1 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 Neuroimaging Techniques and Applications
0.40
article

Leveraging unprecedented ultra-high strength gradients in commercially available MRI for in-vivo diffusion tensor CMR

Karl Kunze, Andrew D. Scott, Peter Speier, Sònia Nielles‐Vallespin, Dudley J. Pennell, Pedro Ferreira, Christian Geppert
article en
1 citations

Abstract

Motivation: Spin echo diffusion tensor cardiovascular magnetic resonance (DT-CMR) suffers from low SNR and resolution due to the time-consuming motion-compensated encoding gradients required. Goal(s): Shorten TEs for motion compensated spin echo (MCSE) DT-CMR techniques to improve SNR and allow higher spatial resolution using ultra-high strength whole body gradients (200mT/m) newly available in commercially available scanners. Approach: We implemented second order MCSE and acquired data in healthy subjects at peak systole and end diastole with maximum gradient strength of 146mT/m. Results: We demonstrate high quality MCSE DT-CMR data with reduced TEs and higher spatial resolution than on previously available scanners using similar protocols. Impact: Increases in imaging efficiency in DT-CMR enabled by the use of ultra-high strength gradients on commercial MRI systems will deliver shorter scans and improvements in spatial resolution which are vital steps on the road to clinical translation of DT-CMR.

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
Openalex Percentile: Top 32%
Advanced Neuroimaging Techniques and Applications
0.40
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Leveraging unprecedented ultra-high strength gradients in commercially available MRI for in-vivo diffusion tensor CMR — Karl Kunze, Andrew D. Scott, 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