Automation of a DXA-based finite-element tool for clinical assessment of hip fracture risk
dc.contributor.author | Ahmed, Sharif | |
dc.contributor.examiningcommittee | Telichev, Igor (Mechanical Engineering) Cha, Youngjin (Civil Engineering) | en_US |
dc.contributor.supervisor | Luo,Yunhua (Mechanical Engineering) | en_US |
dc.date.accessioned | 2016-10-12T17:44:55Z | |
dc.date.available | 2016-10-12T17:44:55Z | |
dc.date.issued | 2016 | |
dc.degree.discipline | Mechanical Engineering | en_US |
dc.degree.level | Master of Science (M.Sc.) | en_US |
dc.description.abstract | Dual Energy X-ray Absorptiometry (DXA)-based finite element (FE) modelling has emerged as a potential tool for better assessment of osteoporotic hip fracture risk. Automation of this complex and computationally-intense procedure is the prime requirement for its clinical applicability. The aim of this study was to develop a fully automatic DXA-based finite element tool and assess its discrimination ability and short-term repeatability. The proximal femur was automatically segmented from clinical hip DXA scan and the subject-specific FE model was constructed for simulating sideways fall. Hip fracture risk indices (HFRIs) were calculated using two ways (along a femur cross-section and over a region of interest, ROI). Hip fracture discriminability increased when moved from femur cross-section based to ROI based HFRI calculation. A significant increase in hip fracture discriminability from baseline femoral neck and total hip bone mineral density (BMD) was achieved with ROI based HFRIs. Promising short-term repeatability was observed for HFRIs (coefficient of variation, CV, 3~3.5%). After removing representative poor cases, CVs were less than 3%. These preliminary results establish the potential of the proposed automatic tool for hip fracture risk assessment and justify large-scale clinical evaluation of its ability to predict incident hip fractures. | en_US |
dc.description.note | February 2017 | en_US |
dc.identifier.uri | http://hdl.handle.net/1993/31886 | |
dc.language.iso | eng | en_US |
dc.rights | open access | en_US |
dc.subject | Osteoporosis, DXA image, Finite element analysis, Hip fracture risk, Hip fracture discrimination ability, Short-term repeatability | en_US |
dc.title | Automation of a DXA-based finite-element tool for clinical assessment of hip fracture risk | en_US |
dc.type | master thesis | en_US |