Can I read Rapid 3D T1 mapping using deep learning‐assisted Look‐Locker inversion recovery MRI on EtoBox?

Rapid 3D T1 mapping using deep learning‐assisted Look‐Locker inversion recovery MRI by Haoyang Pei; Ding Xia; Xiang Xu; Yang Yang; Yao Wang; Fang Liu; Li Feng is a Medicine article available to read on EtoBox.

What is Rapid 3D T1 mapping using deep learning‐assisted Look‐Locker inversion recovery MRI about?

Purpose: Conventional 3D Look-Locker inversion recovery (LLIR) T 1 mapping requires multi-repetition data acquisition to reconstruct images at different inversion times for T 1 fitting. To ensure B 1 robustness, sufficient time of delay (TD) is needed between repetitions, which prolongs scan time. This work proposes a novel deep learning-assisted LLIR MRI approach for rapid 3D T 1 mapping without TD. Theory and Methods: The proposed approach is based on the fact that T \* 1 , the effective T 1 in LLIR imaging, is independent of TD and can be estimated from both LLIR imaging with and without TD, while accurate conversion of T \* 1 to T 1 requires TD. Therefore, deep learning can be used to learn the conversion of T \* 1 to T 1 , which eliminates the need for TD. This idea was implemented for inversion-recovery-prepared Golden-angel RAdial Sparse Parallel T 1 mapping (GraspT 1 ). 39 GraspT 1 datasets with a TD of 6 s (GraspT 1 -TD6) were used for training, which also incorporates additional anatomical images. The trained network was applied for T 1 estimation in 14 GraspT 1 datasets without TD (GraspT 1 -TD0). The robustness of the trained network was also tested. Results: Deep learn

Who reads Rapid 3D T1 mapping using deep learning‐assisted Look‐Locker inversion recovery MRI?

Author

Haoyang Pei; Ding Xia; Xiang Xu; Yang Yang; Yao Wang; Fang Liu; Li Feng

Publisher

Wiley

Published

2023

Language

EN

Field

Medicine (Health Sciences)