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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

Počet stran výsledku

11

Strana od-do

300-310

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Jogdžakarta

Datum konání akce

8. 4. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000493319700025