Search Results - "Note—Computer Processing and Modeling"

Hybrid data fidelity term approach for quantitative susceptibility mapping by 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 by 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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High‐permittivity pad design tool for 7T neuroimaging and 3T body imaging by van Gemert, Jeroen, Brink, Wyger, Webb, Andrew, Remis, Rob

“…Purpose High‐permittivity materials in the form of flexible “dielectric pads” have proved very useful for addressing RF inhomogeneities in high field MRI…”
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Numerical approximation to the general kinetic model for ASL quantification by Lee, Nam G., Javed, Ahsan, Jao, Terrence R., Nayak, Krishna S.

“…Purpose To develop a numerical approximation to the general kinetic model for arterial spin labeling (ASL) quantification that will enable greater flexibility…”
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Fast Fourier‐based simulation of off‐resonance artifacts in steady‐state gradient echo MRI applied to metal object localization by Zijlstra, Frank, Bouwman, Job G., Braškutė, Ieva, Viergever, Max A., Seevinck, Peter R.

“…Purpose To accelerate simulation of off‐resonance artifacts in steady‐state gradient echo MRI by using fast Fourier transforms and demonstrate its…”
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Partial volume correction for quantitative CEST imaging of acute ischemic stroke by Msayib, Y., Harston, G. W. J., Sheerin, F., Blockley, N. P., Okell, T. W., Jezzard, P., Kennedy, J., Chappell, M. A.

“…Purpose Contributions of cerebrospinal fluid (CSF) have not been previously taken into account in the quantification of APT CEST effects, and correction for…”
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A comparative study of gradient nonlinearity correction strategies for processing diffusion data obtained with ultra‐strong gradient MRI scanners by Rudrapatna, Umesh, Parker, Greg D., Roberts, Jamie, Jones, Derek K.

“…Purpose The analysis of diffusion data obtained under large gradient nonlinearities necessitates corrections during data reconstruction and analysis. While two…”
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Myelin water fraction mapping from multiple echo spin echoes and an independent B1+ map by 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 by 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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