Suchergebnisse - "Technical Notes—Computer Processing and Modeling"

Myelin water fraction mapping from multiple echo spin echoes and an independent B1+ map von Mehdizadeh, Nima, Wilman, Alan H.

“… Purpose Myelin water fraction (MWF) is often obtained from a multiple echo spin echo (MESE) sequence using multi‐component T2 fitting with non‐negative least …”
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Learning a preconditioner to accelerate compressed sensing reconstructions in MRI von Koolstra, Kirsten, Remis, Rob

“… Purpose To learn a preconditioner that accelerates parallel imaging (PI) and compressed sensing (CS) reconstructions. Methods A convolutional neural network …”
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Hybrid data fidelity term approach for quantitative susceptibility mapping von Lambert, Mathias, Tejos, Cristian, Langkammer, Christian, Milovic, Carlos

“… Purpose Susceptibility maps are usually derived from local magnetic field estimations by minimizing a functional composed of a data consistency term and a …”
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Personalized synthetic MR imaging with deep learning enhancements von Pal, Subrata, Dutta, Somak, Maitra, Ranjan

“… Purpose Personalized synthetic MRI (syn‐MRI) uses MR images of an individual subject acquired at a few design parameters (echo time, repetition time, flip …”
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