Automated segmentation of cortical and trabecular bone to generate finite element models for femoral bone mechanics

Väänänen, Sami PUniversity of Eastern Finland,Kuopio University Hospital,Central Finland Health Care District (author)

Finite element (FE) models based on quantitative computed tomography (CT) images are better predictors of bone strength than conventional areal bone mineral density measurements. However, FE models require manual segmentation of the femur, which is not clinically applicable. This study developed a method for automated FE analyses from clinical CT images. Clinical in-vivo CT images of 13 elderly female subjects were collected to evaluate the method. Secondly, proximal cadaver femurs were harvested and imaged with clinical CT (N = 17). Of these femurs, 14 were imaged with µCT and three had earlier been tested experimentally in stance-loading, while collecting surface deformations with digital image correlation. Femurs were segmented from clinical CT images using an automated method, based on the segmentation tool Stradwin. The method automatically distinguishes trabecular and cortical bone, corrects partial volume effect and generates input for FE analysis. The manual and automatic segmentations agreed within about one voxel for in-vivo subjects (0.99 ± 0.23 mm) and cadaver femurs (0.21 ± 0.07 mm). The strains from the FE predictions closely matched with the experimentally measured strains (R2 = 0.89). The method can automatically generate meshes suitable for FE analysis. The method may bring us one step closer to enable clinical usage of patient-specific FE analyses.

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(Swepub:lu)soli-glo (author)
Venäläinen, Mikko SUniversity of Turku,University of Eastern Finland (author)
Matikka, HannaKuopio University Hospital (author)
Zheng, YiTechnical University of Denmark (author)
Jurvelin, Jukka SUniversity of Eastern Finland (author)
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 (author)
University of Eastern FinlandKuopio University Hospital (creator_code:org_t)

In:Medical Engineering & Physics: Elsevier BV70:August 2019, s. 19-281873-40301350-4533

By the author/editor: Väänänen, Sami P; Grassi, Lorenzo; Venäläinen, Mikk ...; Matikka, Hanna; Zheng, Yi; Jurvelin, Jukka ...; show more...; Isaksson, Hanna; show less...

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ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Medical Engineer ...; and Medical Image Pr ...

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