Atnaujinkite slapukų nuostatas

El. knyga: Anisotropy Across Fields and Scales

Edited by , Edited by , Edited by , Edited by
  • Formatas: EPUB+DRM
  • Serija: Mathematics and Visualization
  • Išleidimo metai: 10-Feb-2021
  • Leidėjas: Springer Nature Switzerland AG
  • Kalba: eng
  • ISBN-13: 9783030562151
  • Formatas: EPUB+DRM
  • Serija: Mathematics and Visualization
  • Išleidimo metai: 10-Feb-2021
  • Leidėjas: Springer Nature Switzerland AG
  • Kalba: eng
  • ISBN-13: 9783030562151

DRM apribojimai

  • Kopijuoti:

    neleidžiama

  • Spausdinti:

    neleidžiama

  • El. knygos naudojimas:

    Skaitmeninių teisių valdymas (DRM)
    Leidykla pateikė šią knygą šifruota forma, o tai reiškia, kad norint ją atrakinti ir perskaityti reikia įdiegti nemokamą programinę įrangą. Norint skaityti šią el. knygą, turite susikurti Adobe ID . Daugiau informacijos  čia. El. knygą galima atsisiųsti į 6 įrenginius (vienas vartotojas su tuo pačiu Adobe ID).

    Reikalinga programinė įranga
    Norint skaityti šią el. knygą mobiliajame įrenginyje (telefone ar planšetiniame kompiuteryje), turite įdiegti šią nemokamą programėlę: PocketBook Reader (iOS / Android)

    Norint skaityti šią el. knygą asmeniniame arba „Mac“ kompiuteryje, Jums reikalinga  Adobe Digital Editions “ (tai nemokama programa, specialiai sukurta el. knygoms. Tai nėra tas pats, kas „Adobe Reader“, kurią tikriausiai jau turite savo kompiuteryje.)

    Negalite skaityti šios el. knygos naudodami „Amazon Kindle“.

This book focuses on processing, modeling, and visualization of anisotropy information, which are often addressed by employing sophisticated mathematical constructs such as tensors and other higher-order descriptors. It also discusses adaptations of such constructs to problems encountered in seemingly dissimilar areas of medical imaging, physical sciences, and engineering. Featuring original research contributions as well as insightful reviews for scientists interested in handling anisotropy information, it covers topics such as pertinent geometric and algebraic properties of tensors and tensor fields, challenges faced in processing and visualizing different types of data, statistical techniques for data processing, and specific applications like mapping white-matter fiber tracts in the brain.

The book helps readers grasp the current challenges in the field and provides information on the techniques devised to address them. Further, it facilitates the transfer of knowledge between different disciplines in order to advance the research frontiers in these areas.

This multidisciplinary book presents, in part, the outcomes of the seventh in a series of Dagstuhl seminars devoted to visualization and processing of tensor fields and higher-order descriptors, which was held in Dagstuhl, Germany, on October 28–November 2, 2018.



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.