FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2023937088> ?p ?o ?g. }

• W2023937088 endingPage "045002" @default.
• W2023937088 startingPage "045002" @default.
• W2023937088 abstract "As a novel tool for quantitative 3D internal deformation measurement throughout the interior of a material or tissue, digital volume correlation (DVC) has increasingly gained attention and application in the fields of experimental mechanics, material research and biomedical engineering. However, the practical implementation of DVC involves important challenges such as implementation complexity, calculation accuracy and computational efficiency. In this paper, a least-squares framework is presented for 3D internal displacement and strain field measurement using DVC. The proposed DVC combines a practical linear-intensity-change model with an easy-to-implement iterative least-squares (ILS) algorithm to retrieve 3D internal displacement vector field with sub-voxel accuracy. Because the linear-intensity-change model is capable of accounting for both the possible intensity changes and the relative geometric transform of the target subvolume, the presented DVC thus provides the highest sub-voxel registration accuracy and widest applicability. Furthermore, as the ILS algorithm uses only first-order spatial derivatives of the deformed volumetric image, the developed DVC thus significantly reduces computational complexity. To further extract 3D strain distributions from the 3D discrete displacement vectors obtained by the ILS algorithm, the presented DVC employs a pointwise least-squares algorithm to estimate the strain components for each measurement point. Computer-simulated volume images with controlled displacements are employed to investigate the performance of the proposed DVC method in terms of mean bias error and standard deviation error. Results reveal that the present technique is capable of providing accurate measurements in an easy-to-implement manner, and can be applied to practical 3D internal displacement and strain calculation." @default.
• W2023937088 created "2016-06-24" @default.
• W2023937088 creator A5023591114 @default.
• W2023937088 creator A5070819847 @default.
• W2023937088 creator A5089438704 @default.
• W2023937088 date "2012-02-27" @default.
• W2023937088 modified "2023-09-23" @default.
• W2023937088 title "Internal displacement and strain measurement using digital volume correlation: a least-squares framework" @default.
• W2023937088 cites W1985726419 @default.
• W2023937088 cites W1987152773 @default.
• W2023937088 cites W1991692264 @default.
• W2023937088 cites W2005434510 @default.
• W2023937088 cites W2006204324 @default.
• W2023937088 cites W2006744632 @default.
• W2023937088 cites W2021496507 @default.
• W2023937088 cites W2022947042 @default.
• W2023937088 cites W2025208776 @default.
• W2023937088 cites W2030367672 @default.
• W2023937088 cites W2035616613 @default.
• W2023937088 cites W2038237890 @default.
• W2023937088 cites W2050756523 @default.
• W2023937088 cites W2052801897 @default.
• W2023937088 cites W2056025662 @default.
• W2023937088 cites W2056843083 @default.
• W2023937088 cites W2058008749 @default.
• W2023937088 cites W2068946810 @default.
• W2023937088 cites W2077534656 @default.
• W2023937088 cites W2088375041 @default.
• W2023937088 cites W2090684993 @default.
• W2023937088 cites W2096145624 @default.
• W2023937088 cites W2097521561 @default.
• W2023937088 cites W2113190056 @default.
• W2023937088 cites W2117730526 @default.
• W2023937088 cites W2119673331 @default.
• W2023937088 cites W2127521930 @default.
• W2023937088 cites W2128239213 @default.
• W2023937088 cites W2134684373 @default.
• W2023937088 cites W2151325916 @default.
• W2023937088 cites W2157494358 @default.
• W2023937088 cites W4297302073 @default.
• W2023937088 doi "https://doi.org/10.1088/0957-0233/23/4/045002" @default.
• W2023937088 hasPublicationYear "2012" @default.
• W2023937088 type Work @default.
• W2023937088 sameAs 2023937088 @default.
• W2023937088 citedByCount "66" @default.
• W2023937088 countsByYear W20239370882012 @default.
• W2023937088 countsByYear W20239370882013 @default.
• W2023937088 countsByYear W20239370882014 @default.
• W2023937088 countsByYear W20239370882015 @default.
• W2023937088 countsByYear W20239370882016 @default.
• W2023937088 countsByYear W20239370882017 @default.
• W2023937088 countsByYear W20239370882018 @default.
• W2023937088 countsByYear W20239370882019 @default.
• W2023937088 countsByYear W20239370882020 @default.
• W2023937088 countsByYear W20239370882021 @default.
• W2023937088 countsByYear W20239370882022 @default.
• W2023937088 countsByYear W20239370882023 @default.
• W2023937088 crossrefType "journal-article" @default.
• W2023937088 hasAuthorship W2023937088A5023591114 @default.
• W2023937088 hasAuthorship W2023937088A5070819847 @default.
• W2023937088 hasAuthorship W2023937088A5089438704 @default.
• W2023937088 hasConcept C105795698 @default.
• W2023937088 hasConcept C107551265 @default.
• W2023937088 hasConcept C115635565 @default.
• W2023937088 hasConcept C121332964 @default.
• W2023937088 hasConcept C126322002 @default.
• W2023937088 hasConcept C134306372 @default.
• W2023937088 hasConcept C15744967 @default.
• W2023937088 hasConcept C159985019 @default.
• W2023937088 hasConcept C185429906 @default.
• W2023937088 hasConcept C192562407 @default.
• W2023937088 hasConcept C20556612 @default.
• W2023937088 hasConcept C2778022156 @default.
• W2023937088 hasConcept C2780580100 @default.
• W2023937088 hasConcept C33923547 @default.
• W2023937088 hasConcept C542102704 @default.
• W2023937088 hasConcept C71924100 @default.
• W2023937088 hasConcept C97355855 @default.
• W2023937088 hasConcept C9936470 @default.
• W2023937088 hasConceptScore W2023937088C105795698 @default.
• W2023937088 hasConceptScore W2023937088C107551265 @default.
• W2023937088 hasConceptScore W2023937088C115635565 @default.
• W2023937088 hasConceptScore W2023937088C121332964 @default.
• W2023937088 hasConceptScore W2023937088C126322002 @default.
• W2023937088 hasConceptScore W2023937088C134306372 @default.
• W2023937088 hasConceptScore W2023937088C15744967 @default.
• W2023937088 hasConceptScore W2023937088C159985019 @default.
• W2023937088 hasConceptScore W2023937088C185429906 @default.
• W2023937088 hasConceptScore W2023937088C192562407 @default.
• W2023937088 hasConceptScore W2023937088C20556612 @default.
• W2023937088 hasConceptScore W2023937088C2778022156 @default.
• W2023937088 hasConceptScore W2023937088C2780580100 @default.
• W2023937088 hasConceptScore W2023937088C33923547 @default.
• W2023937088 hasConceptScore W2023937088C542102704 @default.
• W2023937088 hasConceptScore W2023937088C71924100 @default.
• W2023937088 hasConceptScore W2023937088C97355855 @default.
• W2023937088 hasConceptScore W2023937088C9936470 @default.
• W2023937088 hasIssue "4" @default.

• next