Výsledky vyhledávání - Computer Processing and Modeling—Note*
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1
A ranking of diffusion MRI compartment models with in vivo human brain data
ISSN: 0740-3194, 1522-2594, 1522-2594Vydáno: United States Blackwell Publishing Ltd 01.12.2014Vydáno v Magnetic resonance in medicine (01.12.2014)“…Purpose Diffusion magnetic resonance imaging (MRI) microstructure imaging provides a unique noninvasive probe into tissue microstructure. The technique relies…”
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A general linear relaxometry model of R1 using imaging data
ISSN: 0740-3194, 1522-2594, 1522-2594Vydáno: United States Blackwell Publishing Ltd 01.03.2015Vydáno v Magnetic resonance in medicine (01.03.2015)“…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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3
Hybrid data fidelity term approach for quantitative susceptibility mapping
ISSN: 0740-3194, 1522-2594, 1522-2594Vydáno: United States Wiley Subscription Services, Inc 01.08.2022Vydáno v Magnetic resonance in medicine (01.08.2022)“…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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4
Personalized synthetic MR imaging with deep learning enhancements
ISSN: 0740-3194, 1522-2594, 1522-2594Vydáno: United States Wiley Subscription Services, Inc 01.04.2023Vydáno v Magnetic resonance in medicine (01.04.2023)“…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
ISSN: 0740-3194, 1522-2594, 1522-2594Vydáno: United States Wiley Subscription Services, Inc 01.05.2019Vydáno v Magnetic resonance in medicine (01.05.2019)“…‐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
ISSN: 0740-3194, 1522-2594, 1522-2594Vydáno: United States Wiley Subscription Services, Inc 01.11.2020Vydáno v Magnetic resonance in medicine (01.11.2020)“…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
ISSN: 0740-3194, 1522-2594, 1522-2594Vydáno: United States Wiley Subscription Services, Inc 01.02.2021Vydáno v Magnetic resonance in medicine (01.02.2021)“…) 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
ISSN: 0740-3194, 1522-2594, 1522-2594Vydáno: United States Wiley Subscription Services, Inc 01.11.2017Vydáno v Magnetic resonance in medicine (01.11.2017)“…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
ISSN: 0740-3194, 1522-2594, 1522-2594Vydáno: Hoboken Wiley Subscription Services, Inc 01.09.2022Vydáno v Magnetic resonance in medicine (01.09.2022)“…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
ISSN: 0740-3194, 1522-2594, 1522-2594Vydáno: United States Wiley Subscription Services, Inc 01.11.2019Vydáno v Magnetic resonance in medicine (01.11.2019)“…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
ISSN: 0740-3194, 1522-2594, 1522-2594Vydáno: United States Wiley Subscription Services, Inc 01.04.2022Vydáno v Magnetic resonance in medicine (01.04.2022)“…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
ISSN: 0748-7711, 1938-1352, 1938-1352Vydáno: United States Superintendent of Documents 01.09.2002Vydáno v Journal of rehabilitation research and development (01.09.2002)“…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
ISSN: 0362-546X, 1873-5215Vydáno: Elsevier Ltd 15.12.2009Vydáno v Nonlinear analysis (15.12.2009)“… 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)
Vydáno: IEEE 21.10.2023Vydáno v 2023 International Conference on Networking and Advanced Systems (ICNAS) (21.10.2023)“… This Keynote Lecture begins by introducing the different processing necessary for obtaining a computer-generated image…”
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Konferenční příspěvek -
15
Cellular Structures as Structured Simplicial Structures
ISBN: 9781482206524, 1482206528Vydáno: United Kingdom A K Peters/CRC Press 2015Vydáno v Combinatorial Maps (2015)“… 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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Kapitola -
16
Spatiotemporal Covariance Neural Networks
ISSN: 2331-8422Vydáno: Ithaca Cornell University Library, arXiv.org 16.09.2024Vydáno v arXiv.org (16.09.2024)“…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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