Search Results - Computer Processing AND Modeling—Note*

A ranking of diffusion MRI compartment models with in vivo human brain data by Ferizi, Uran, Schneider, Torben, Panagiotaki, Eleftheria, Nedjati-Gilani, Gemma, Zhang, Hui, Wheeler-Kingshott, Claudia A. M., Alexander, Daniel C.

“…Purpose Diffusion magnetic resonance imaging (MRI) microstructure imaging provides a unique noninvasive probe into tissue microstructure. The technique relies…”
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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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A general linear relaxometry model of R1 using imaging data by Callaghan, Martina F., Helms, Gunther, Lutti, Antoine, Mohammadi, Siawoosh, Weiskopf, Nikolaus

“…Purpose The longitudinal relaxation rate (R1) measured in vivo depends on the local microstructural properties of the tissue, such as macromolecular, iron, and…”
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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

“…‐to‐use software tool which allows researchers and clinicians to design dielectric pads efficiently on standard computer systems, for 7T neuroimaging and 3T body imaging applications…”
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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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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.

“…) was performed using a 300 mT/m gradient system. Data were acquired with volunteers positioned in regions with pronounced gradient nonlinearities, and used to compare the performance of six different processing pipelines…”
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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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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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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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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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Processing computer tomography bone data for prosthetic finite element modeling: a technical note by Saxena, Rakesh, Zachariah, Santosh G, Sanders, Joan E

“…A software scheme is presented to extract the shapes of tibiae and fibulae from amputee computer tomography (CT…”
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IFS imaging beyond compression by Alexander, S.K., Vrscay, E.R.

“… Recently we have presented a simple mathematical model of image self-similarity and a series of computer experiments that examine the self-similarity of natural images under contractive affine greyscale maps [S. Alexander, E. Vrscay…”
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Stochastic Approach to realistic rendering in computer graphics for Virtual Reality (VR) by Bouatouch, Kadi

“… This Keynote Lecture begins by introducing the different processing necessary for obtaining a computer-generated image…”
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Cellular Structures as Structured Simplicial Structures by Damiand, Guillaume, Lienhardt, Pascal

“… geometry, computer graphics, image processing and analysis. But note that only examples of geometric objects which can be associated with n-Gmaps and n-maps have been provided…”
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Spatiotemporal Covariance Neural Networks by Cavallo, Andrea, Sabbaqi, Mohammad, Isufi, Elvin

“…Modeling spatiotemporal interactions in multivariate time series is key to their effective processing, but challenging because of their irregular and often unknown structure…”
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