Identification of cardiac phase in hyperpolarized 13C cardiac MRI using multiphase 1H MRI and unitized 3D patch-based reconstruction

Motivation: The predetermined trigger delay may fail to acquire 13C images at an unstable heart rate and cause a misalignment between the cardiac phases depicted in structural and metabolic images. Goal(s): Aim to exploit the volumetric PBSR algorithm to establish an automated alignment workflow to identify the actual cardiac phase for HP 13C images. Approach: Image pairs of multiple 1H cardiac phases and single-phase 13C images will be reconstructed by 3D PBSR, and the pair with the best similarity/in-focus index will be elected. Results: The digital phantom and an in-vivo HP 13C cardiac image demonstrated the feasibility of cardiac phase detection. Impact: The currently proposed automated alignment workflow identifies the actual cardiac phase when the HP 13C images are acquired, and this technique will potentially benefit patients with arrhythmia or pediatric populations.

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/10.58530/2024/4569
Primary Topic
Advanced NMR Techniques and Applications
Type
article
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article

Identification of cardiac phase in hyperpolarized 13C cardiac MRI using multiphase 1H MRI and unitized 3D patch-based reconstruction

Kelley Derner, Zohreh Erfani, Crystal Harrison, Sung‐Han Lin et al.
2 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
Advanced NMR Techniques and Applications
article

Identification of cardiac phase in hyperpolarized 13C cardiac MRI using multiphase 1H MRI and unitized 3D patch-based reconstruction

Kelley Derner, Zohreh Erfani, Crystal Harrison, Sung‐Han Lin, JaeMo Park
article en

Abstract

Motivation: The predetermined trigger delay may fail to acquire 13C images at an unstable heart rate and cause a misalignment between the cardiac phases depicted in structural and metabolic images. Goal(s): Aim to exploit the volumetric PBSR algorithm to establish an automated alignment workflow to identify the actual cardiac phase for HP 13C images. Approach: Image pairs of multiple 1H cardiac phases and single-phase 13C images will be reconstructed by 3D PBSR, and the pair with the best similarity/in-focus index will be elected. Results: The digital phantom and an in-vivo HP 13C cardiac image demonstrated the feasibility of cardiac phase detection. Impact: The currently proposed automated alignment workflow identifies the actual cardiac phase when the HP 13C images are acquired, and this technique will potentially benefit patients with arrhythmia or pediatric populations.

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 84%
Advanced NMR Techniques and Applications
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