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1. StoDIP: Efficient 3D MRF Image Reconstruction with Deep Image Priors and Stochastic Iterations NSTL国家科技图书文献中心

Perla Mayo | Matteo Cencini ... - 《Machine Learning in Medical Imaging,Part II》 - International Workshop on Machine Learning in Medical Imaging | International Conference on Medical Image Computing and Computer-Assisted Intervention - 2025, - 128～137 - 共10页

摘要： time-efficient approach to quantitative MRI* for* | Magnetic Resonance Fingerprinting (MRF) is a | multiparametric tissue mapping. The reconstruction of | quantitative maps requires tailored algorithms for removing | aliasing artefacts from the compressed sampled MRF

关键词： Magnetic resonance fingerprinting | Quantiative MRI | Compressed sensing | Deep image prior | Iterative algorithms

2. Generalized model-based reconstruction for quantitative MRI using the Bloch-Equations SCOPUS Scopus数据库 SCIE Web of Science核心 NSTL国家科技图书文献中心

N.Scholand | X.Wang ... - 《Magma: Magnetic resonance materials in physics, biology, and medicine》 - 2019,32(1 TN.Suppl.1) - 303～304 - 共2页

摘要： highly accelerated quantiative* MRI by extracting the* | Model-based reconstruction techniques enable | parameter maps directly from undersampled k-space data [1 | , 2]. We propose a generic model-based | reconstruction technique, which includes the full Bloch

关键词： Generalized model-based | reconstruction | quantitative MRI

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