1.

Record Nr.

UNISA996466563203316

Autore

Özarslan Evren

Titolo

Anisotropy Across Fields and Scales [[electronic resource] /] / edited by Evren Özarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster

Pubbl/distr/stampa

Springer Nature, 2021

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021

ISBN

3-030-56215-8

Edizione

[1st ed. 2021.]

Descrizione fisica

1 online resource (X, 280 p. 109 illus., 91 illus. in color.)

Collana

Mathematics and Visualization, , 1612-3786

Disciplina

004

Soggetti

Mathematics

Visualization

Matrix theory

Algebra

Computer mathematics

Optical data processing

Mathematical physics

Linear and Multilinear Algebras, Matrix Theory

Computational Science and Engineering

Computer Imaging, Vision, Pattern Recognition and Graphics

Theoretical, Mathematical and Computational Physics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Tensor approximation for multidimensional and multivariate data -- Tensor field topology without symmetrization using Hermitian tensors -- Continuous histograms for Anisotropy of 2D symmetric piece-wise linear tensor fields -- Riemann-DTI geodesic tractography revisited -- Fourth-order anisotropic diffusion for inpainting and image compression -- Advanced deep learning for processing orientation-dependent diffusion magnetic resonance imaging data - A review -- On the variance measure of diffusion tensors in two dimensions -- Magnetic resonance assessment of effective confinement anisotropy with powder-averaged single and double diffusion encoding -- Merge



trees, neutral surfaces, and tensor field topology -- Asymmetric tensor analysis -- Anisotropy issues in shape-based object analysis -- Tractogram filtering -- Multispectral image processing in astronomy -- Anisotropy in the human placenta in pregnancies complicated by fetal growth restriction -- The case for spatially homogeneous models in high gradient strength diffusion-weighted MRI: A position paper on the potential applicability of stochastic geometry.

Sommario/riassunto

This open access book focuses on processing, modeling, and visualization of anisotropy information...