Literature DB >> 17689923

Reliability of tarsal bone segmentation and its contribution to MR kinematic analysis methods.

P Wolf1, R Luechinger, A Stacoff, P Boesiger, E Stuessi.   

Abstract

The purpose of this study was to determine the reliability of tarsal bone segmentation based on magnetic resonance (MR) imaging using commercially available software. All tarsal bones of five subjects were segmented five times each by two operators. Volumes and second moments of volume were calculated and used to determine the intra- as well as interoperator reproducibility. The results show that these morphological parameters had excellent interclass correlation coefficients (>0.997) indicating that the presented tarsal bone segmentation is a reliable procedure and that operators are in fact interchangeable. The consequences on differences in MR kinematic analysis methods of segmentation due to repetition were also determined. It became evident that one analysis method--fitting surface point clouds--was considerable less affected by repeated segmentation (cuboid: up to 0.2 degrees, other tarsal bones up to 0.1 degrees) compared to a method using principal axes (cuboid up to 6.7 degrees, other tarsal bones up to 0.8 degrees). Thus, the former method is recommended for investigations of tarsal bone kinematics by MR imaging.

Mesh:

Year:  2007        PMID: 17689923     DOI: 10.1016/j.compmedimag.2007.06.009

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  2 in total

1.  Comparison of cartilage and bone morphological models of the ankle joint derived from different medical imaging technologies.

Authors:  Gilda Durastanti; Alberto Leardini; Sorin Siegler; Stefano Durante; Alberto Bazzocchi; Claudio Belvedere
Journal:  Quant Imaging Med Surg       Date:  2019-08

2.  Human ankle joint movements during walking are probably not determined by talar morphology.

Authors:  Peter Wolf; Roman Moor; Arne Lundberg; Christopher Nester; Anton Arndt; Eveline Graf
Journal:  Sci Rep       Date:  2022-08-16       Impact factor: 4.996

  2 in total

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