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Twenty cam-type hip shapes described using a new 'contour' shape map and assessed for impingement occurrence and depth

Rayment, Trent and Groves-Williams, Dawn and Williams, Sophie and Jones, Alison (2024) Twenty cam-type hip shapes described using a new 'contour' shape map and assessed for impingement occurrence and depth. University of Leeds. [Dataset] https://doi.org/10.5518/1492

Dataset description

This dataset includes the input, raw output and processed data from a study investigating the predicted cam-type hip impingement of a set of human subjects using a newly developed contour method. The associated project aimed to investigate the severity of a subject’s predicted impingement by assessing: the height of the cam entering the acetabulum during impingement; the frequency of impingement occurrence; and the impingement depth over a range of activities. The study looked to further investigate whether key shape features (maximum cam alpha angle, cam extent, cam location, average acetabular coverage) affected the severity of predicted impingement. The model input data is in the form of sets of points used to describe the femoral head-neck junction and acetabular rim of each subject. High level shape measures of cam apex, extent and location are included. Additional parametric data, such as femoral head size is provided for context along with the patient sex for comparison with previous work. The raw impingement occurrence output data of the shape-motion model providing information on which motion cases generate predicted impingement. Detailed data is included for the maximum impingement depth at every location around the acetabula, along with the post processed maximum impingement depth for each motion case for each subject. Methods documents are included explaining how measures were taken.

Subjects: H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering > H162 - Biomechanics (including fluid & solid mechanics)
Divisions: Faculty of Engineering and Physical Sciences > School of Mechanical Engineering
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 09 Apr 2024 09:37
URI: https://archive.researchdata.leeds.ac.uk/id/eprint/1268

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