SwePub
Sök i LIBRIS databas

  Utökad sökning

id:"swepub:oai:lup.lub.lu.se:f425a0f4-8e33-4e6e-9c2a-fd29d8f251ac"
 

Sökning: id:"swepub:oai:lup.lub.lu.se:f425a0f4-8e33-4e6e-9c2a-fd29d8f251ac" > Prediction of femor...

  • Grassi, LorenzoLund University,Lunds universitet,Avdelningen för Biomedicinsk teknik,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH (författare)

Prediction of femoral strength using 3D finite element models reconstructed from DXA images: validation against experiments

  • Artikel/kapitelEngelska2017

Förlag, utgivningsår, omfång ...

  • 2016-12-21
  • Springer Science and Business Media LLC,2017
  • electronicrdacarrier

Nummerbeteckningar

  • LIBRIS-ID:oai:lup.lub.lu.se:f425a0f4-8e33-4e6e-9c2a-fd29d8f251ac
  • https://lup.lub.lu.se/record/f425a0f4-8e33-4e6e-9c2a-fd29d8f251acURI
  • https://doi.org/10.1007/s10237-016-0866-2DOI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

Ingår i deldatabas

Klassifikation

  • Ämneskategori:art swepub-publicationtype
  • Ämneskategori:ref swepub-contenttype

Anmärkningar

  • Computed tomography (CT)-based finite element (FE) models may improve the current osteoporosis diagnostics and prediction of fracture risk by providing an estimate for femoral strength. However, the need for a CT scan, as opposed to the conventional use of dual-energy X-ray absorptiometry (DXA) for osteoporosis diagnostics, is considered a major obstacle. The 3D shape and bone mineral density (BMD) distribution of a femur can be reconstructed using a statistical shape and appearance model (SSAM) and the DXA image of the femur. Then, the reconstructed shape and BMD could be used to build FE models to predict bone strength. Since high accuracy is needed in all steps of the analysis, this study aimed at evaluating the ability of a 3D FE model built from one 2D DXA image to predict the strains and fracture load of human femora. Three cadaver femora were retrieved, for which experimental measurements from ex vivo mechanical tests were available. FE models were built using the SSAM-based reconstructions: using only the SSAM-reconstructed shape, only the SSAM-reconstructed BMD distribution, and the full SSAM-based reconstruction (including both shape and BMD distribution). When compared with experimental data, the SSAM-based models predicted accurately principal strains (coefficient of determination >0.83, normalized root-mean-square error <16%) and femoral strength (standard error of the estimate 1215 N). These results were only slightly inferior to those obtained with CT-based FE models, but with the considerable advantage of the models being built from DXA images. In summary, the results support the feasibility of SSAM-based models as a practical tool to introduce FE-based bone strength estimation in the current fracture risk diagnostics.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Vaananen, Sami P.University of Eastern Finland,Kuopio University Hospital (författare)
  • Ristinmaa, MattiLund University,Lunds universitet,Hållfasthetslära,Institutionen för byggvetenskaper,Institutioner vid LTH,Lunds Tekniska Högskola,Solid Mechanics,Department of Construction Sciences,Departments at LTH,Faculty of Engineering, LTH(Swepub:lu)hall-mri (författare)
  • Jurvelin, Jukka S.University of Eastern Finland,Kuopio University Hospital (författare)
  • Isaksson, HannaLund University,Lunds universitet,Avdelningen för Biomedicinsk teknik,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH(Swepub:lu)soli-hai (författare)
  • Avdelningen för Biomedicinsk teknikInstitutionen för biomedicinsk teknik (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:Biomechanics and Modeling in Mechanobiology: Springer Science and Business Media LLC16:3, s. 989-10001617-79401617-7959

Internetlänk

Hitta via bibliotek

Till lärosätets databas

Sök utanför SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy