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Geodesic ray-tracing in white matter fiber crossing region using decomposition of 4th order tensor

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00354262" target="_blank" >RIV/68407700:21230/21:00354262 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14310/21:00129133

  • Result on the web

    <a href="http://hdl.handle.net/10467/99057" target="_blank" >http://hdl.handle.net/10467/99057</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1117/12.2606129" target="_blank" >10.1117/12.2606129</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Geodesic ray-tracing in white matter fiber crossing region using decomposition of 4th order tensor

  • Original language description

    The streamline methods in Diffusion tensor imaging (DTI) use principal eigenvectors for tracking white matter fibers. In comparison, the geodesics in a multivalued ray-tracing method are closer to the actual underlying white matter fibers. This method provides multiple solutions in the form of geodesics in a Riemannian space. These geodesics are robust in tracking high curvature structures in the presence of noise. In the DTI modality, the 2nd order tensor fails to model the heterogeneous regions, e.g., crossing/merging fibers. Therefore, the ray-tracing method is limited to guide the geodesics in these regions. This work, as a first step, utilizes 4th order tensor approximation for the white matter regions. Subsequently, a non-linear optimization is performed to decompose 4th order tensors into multiple 2nd order tensors keeping their symmetric positive definite property. We are using the initial fiber directions from the diagonal components of the 4th order tensor and use the 4th order tensor decomposition for fiber tracking. The experimental results on synthetic images show that geodesics can traverse in heterogeneous and high curvature structures.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    17th International Symposium on Medical Information Processing and Analysis

  • ISBN

    978-1-5106-5052-7

  • ISSN

    0277-786X

  • e-ISSN

    1996-756X

  • Number of pages

    8

  • Pages from-to

    228-235

  • Publisher name

    SPIE

  • Place of publication

    Bellingham (stát Washington)

  • Event location

    Campinas

  • Event date

    Nov 17, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article