Work

Highly accelerated whole-brain T2 mapping using non-cartesian acquisition and model-based implicit neural representation reconstruction

Year: 2025

Type: article

Abstract: Objective To propose a technique for highly accelerated T 2 mapping of the whole brain. Methods A pulse sequence with T 2 preparation and a highly undersampled golden-angle stack-of-stars trajectory is used for data acquisition. A multiresolution hash encoding implicit neural representation, embedded with a physical model of signal evolution, is employed for unsupervised reconstruction. By rotating the trajectory at different k z encodings and effective echo times (TE eff ) during acquisition, undersampling is applied to three dimensions, i.e., ( k x , k y , TE eff ) domain. In the phantom experiment, T 2 quantification using this T 2 -prepared stack-of-stars acquisition was compared with that using a Cartesian multi-echo spin-echo acquisition. In the human experiments, T 2 quantification using the undersampled acquisition was validated in comparison with those using the fully sampled acquisition and multi-echo spin-echo. Results In phantom test, T 2 quantification using the proposed reconstruction agreed well (slope = 0.999, R 2 > 0.99) with that obtained by fitting the NUFFT-reconstructed results for the fully sampled T 2 -prepared stack-of-stars acquisition. In human experiments, T 2 quantification using a 20-fold acceleration agreed well with that using fully sampled data (NRMSE = 0.0066) in retrospectively undersampled reconstruction. No significant difference in T 2 values was found between our technique and the reference method in prospective experiments, and our technique showed good inter-scan reproducibility and intra-scan repeatability. Conclusion Using the proposed technique, whole-brain T 2 mapping can be acquired in 70 seconds with a 20-fold acceleration.

Source: NeuroImage

DOI: 10.1016/j.neuroimage.2025.121614

Authors: Tianyi Xiao, Bei Liu, Huajun She, Yiping P. Du

Institutions: Shanghai Jiao Tong University, Nanjing University of Posts and Telecommunications

Language: English

Topic: Advanced MRI Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,540