Ultrafast Simultaneous T<sub>1</sub>, T<sub>2</sub>, T<sub>2</sub><sup>*</sup>, PD, ΔB<sub>0</sub>, and B<sub>1</sub> Mapping via Longitudinal Magnetization Controlled MOLED Acquisition.
basic_science · Level V
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- Record sourced from PubMed, PMID 40679900.
- Also identified by DOI 10.1109/TBME.2025.3590286.
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Abstract
Multi-parametric quantitative mag- netic resonance imaging (mqMRI) provides comprehensive and accurate information about tissue microstructure and holds significant clinical value for the diagnosis and treatment of diseases. However, conventional methods require long scan time, leading to registration errors and physiological variability between different sequence acqui- sitions. This study aims to propose an advanced imaging method that addresses these limitations. A novel approach called longitudinal magnetization controlled multiple overlapping-echo detachment (LMC-MOLED) imaging was proposed. LMC-MOLED leverages a deep neural network trained on synthetic data generated from Bloch simulation, incorporating non-ideal factors such as B<sub>0</sub> and B<sub>1</sub> inhomogeneities to efficiently reconstruct parametric maps. LMC-MOLED enables simulta- neous quantification of T<sub>1</sub>, T<sub>2</sub>, T<sub>2</sub><sup>*</sup>, proton density (PD), ΔB<sub>0</sub>, and B<sub>1</sub> parameters in approximately 1.2 seconds per slice. Validation experiments using numerical brain, phantom, and human brains demonstrate its excellent performance, particularly in terms of acquisition speed, image quality, and robustness. Additionally, LMC-MOLED effectively corrects distortions introduced by long echo train acquisition. LMC-MOLED offers a rapid, robust solution for mqMRI, providing multi-parametric mapping in a single scan with signify- cantly reduced acquisition time. It holds potential to improve diagnostic accuracy and alleviate patient burden.
Medical subject headings
- Magnetic Resonance Imaging
- Image Processing, Computer-Assisted