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Modeling and Features Extraction of Heel Bone Fracture Reparation Dynamical Process from X-Ray Images Based on Time Iteration Segmentation Model Driven by Gaussian Energy

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10242679" target="_blank" >RIV/61989100:27240/19:10242679 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-030-14802-7_26" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-14802-7_26</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-14802-7_26" target="_blank" >10.1007/978-3-030-14802-7_26</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modeling and Features Extraction of Heel Bone Fracture Reparation Dynamical Process from X-Ray Images Based on Time Iteration Segmentation Model Driven by Gaussian Energy

  • Original language description

    Tracking of the bone reparation is one of the crucial task in the clinical traumatology. Such reparation period is conventionally subjectively observed by the clinicians. Such procedure leads to subjective errors. Therefore, mathematical model would autonomously classify respective stage of the bone healing would have significant impact to clinical practice of the traumatology. We have proposed a time deformation segmentation model based on the fitting Gaussian energy for detection and modeling of the periosteal callus which is clinically perceived as one of the dominant features determining stage of the heel bone fracture, as well as speed of the heeling. In our analysis we have compared two groups of the patients: controlled and granted group where each of them was differently loaded after placing heel bone fixator. This analysis leads to objective classification of such therapeutic procedure corresponding with the most optimal healing process. (C) 2019, Springer Nature Switzerland AG.

  • 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

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 11432

  • ISBN

    978-3-030-14801-0

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    11

  • Pages from-to

    300-310

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Jogdžakarta

  • Event date

    Apr 8, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000493319700025