Cargando…

Efficient estimation of propagator anisotropy and non‐Gaussianity in multishell diffusion MRI with micro‐structure adaptive convolution kernels and dual Fourier integral transforms

PURPOSE: We seek to reformulate the so‐called Propagator Anisotropy (PA) and Non‐Gaussianity (NG), originally conceived for the Mean Apparent Propagator diffusion MRI (MAP‐MRI), to the Micro‐Structure adaptive convolution kernels and dual Fourier Integral Transforms (MiSFIT). These measures describe...

Descripción completa

Detalles Bibliográficos
Autores principales:	París, Guillem, Pieciak, Tomasz, Aja‐Fernández, Santiago, Tristán‐Vega, Antonio
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2022
Materias:	Research Articles—Computer Processing and Modeling
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9826470/ https://www.ncbi.nlm.nih.gov/pubmed/36121312 http://dx.doi.org/10.1002/mrm.29435

Ejemplares similares

Apparent propagator anisotropy from single‐shell diffusion MRI acquisitions
por: Aja‐Fernández, Santiago, et al.
Publicado: (2020)

Anisotropy Measure from Three Diffusion-Encoding Gradient Directions
por: Aja-Fernández, Santiago, et al.
Publicado: (2022)

Evaluation of non‐Gaussian diffusion in cardiac MRI
por: McClymont, Darryl, et al.
Publicado: (2016)

Fast Fourier‐based simulation of off‐resonance artifacts in steady‐state gradient echo MRI applied to metal object localization
por: Zijlstra, Frank, et al.
Publicado: (2016)

Separation of water and fat signal in whole‐body gradient echo scans using convolutional neural networks
por: Andersson, Jonathan, et al.
Publicado: (2019)

On relationship of Z-curve and Fourier approaches for DNA coding sequence classification
por: Law, Ngai-Fong, et al.
Publicado: (2006)

Deep learning‐based reconstruction of in vivo pelvis conductivity with a 3D patch‐based convolutional neural network trained on simulated MR data
por: Gavazzi, Soraya, et al.
Publicado: (2020)

Iterative local Gaussian clustering for expressed genes identification linked to malignancy of human colorectal carcinoma
por: Wasito, Ito, et al.
Publicado: (2007)

Fourier transforms: and convolutions for the experimentalist
por: Jennison, RC
Publicado: (1961)

Motion-compensated hand-held common-path Fourier-domain optical coherence tomography probe for image-guided intervention
por: Huang, Yong, et al.
Publicado: (2012)

Real-time 3D and 4D Fourier domain Doppler optical coherence tomography based on dual graphics processing units
por: Huang, Yong, et al.
Publicado: (2012)

Micro-structure diffusion scalar measures from reduced MRI acquisitions
por: Aja-Fernández, Santiago, et al.
Publicado: (2020)

Eggshell biometrics for individual egg identification based on convolutional neural networks
por: Chen, Zhonghao, et al.
Publicado: (2023)

Bundle geodesic convolutional neural network for diffusion-weighted imaging segmentation
por: Liu, Renfei, et al.
Publicado: (2022)

Fast Fourier transform and convolution algorithms
por: Nussbaumer, Henri J
Publicado: (1981)

Fast Fourier transform and convolution algorithms
por: Nussbaumer, Henri J
Publicado: (1982)

Spike propagation through the dorsal root ganglia in an unmyelinated sensory neuron: a modeling study
por: Sundt, Danielle, et al.
Publicado: (2015)

A ranking of diffusion MRI compartment models with in vivo human brain data
por: Ferizi, Uran, et al.
Publicado: (2014)

A General Linear Relaxometry Model of R(1) Using Imaging Data
por: Callaghan, Martina F, et al.
Publicado: (2015)

High‐permittivity pad design tool for 7T neuroimaging and 3T body imaging
por: van Gemert, Jeroen, et al.
Publicado: (2018)

Partial volume correction for quantitative CEST imaging of acute ischemic stroke
por: Msayib, Y., et al.
Publicado: (2019)

A comparative study of gradient nonlinearity correction strategies for processing diffusion data obtained with ultra‐strong gradient MRI scanners
por: Rudrapatna, Umesh, et al.
Publicado: (2020)

Patient-specific fine-tuning of convolutional neural networks for follow-up lesion quantification
por: Jansen, Mariëlle J. A., et al.
Publicado: (2020)

Population‐based Bayesian regularization for microstructural diffusion MRI with NODDIDA
por: Mozumder, Meghdoot, et al.
Publicado: (2019)

Noisy propagation of Gaussian states in optical media with finite bandwidth
por: Teklu, Berihu, et al.
Publicado: (2022)

Broiler stunned state detection based on an improved fast region-based convolutional neural network algorithm
por: Ye, Chang-wen, et al.
Publicado: (2019)

Non-Gaussianity and the Cosmic Microwave Background Anisotropies
por: Bartolo, N., et al.
Publicado: (2010)

Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networks
por: Killekar, Aditya, et al.
Publicado: (2022)

Fourier-transform infrared anisotropy in cross and parallel sections of tendon and articular cartilage
por: Ramakrishnan, Nagarajan, et al.
Publicado: (2008)

Anisotropies and non-Gaussianity of the Cosmological Gravitational Wave Background
por: Bartolo, N., et al.
Publicado: (2019)

Spatial mapping with Gaussian processes and nonstationary Fourier features
por: Ton, Jean-Francois, et al.
Publicado: (2018)

Multiple Subunit Fitting into a Low-Resolution Density Map of a Macromolecular Complex Using a Gaussian Mixture Model
por: Kawabata, Takeshi
Publicado: (2008)

Analysis of Critical Dimensions for Nanowire Core-Multishell Heterostructures
por: Yan, Xin, et al.
Publicado: (2015)

Protein Subcellular Localization with Gaussian Kernel Discriminant Analysis and Its Kernel Parameter Selection
por: Wang, Shunfang, et al.
Publicado: (2017)

Weighted Feature Gaussian Kernel SVM for Emotion Recognition
por: Wei, Wei, et al.
Publicado: (2016)

A Two-stream Convolutional Network for Musculoskeletal and Neurological Disorders Prediction
por: Zhu, Manli, et al.
Publicado: (2022)

Characterizing the Cosmological Gravitational Wave Background Anisotropies and non-Gaussianity
por: Bartolo, Nicola, et al.
Publicado: (2019)

Integrating spatially explicit indices of abundance and habitat quality: an applied example for greater sage‐grouse management
por: Coates, Peter S., et al.
Publicado: (2015)

TMOD-05. GENOME-WIDE DNA METHYLATION PROFILE: A POWERFUL STRATEGY TO RECAPITULATE HETEROGENEITY OF PEDIATRIC BRAIN TUMORS IN PRIMARY CELL LINES
por: Pedace, Lucia, et al.
Publicado: (2021)

TMOD-06. LOSS OF DICER COOPERATES WITH TUMOR SUPPRESSORS TO INITIATE METASTATIC MEDULLOBLASTOMA
por: Alcantara Llaguno, Sheila, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_sg5p1h2fp09122u1dgsls0anr8