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A novel semi-automa...
A novel semi-automatic hip morphology assessment tool is more accurate than manual radiographic evaluations
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- Khayyeri, Hanifeh (author)
- Lund University,Lunds universitet,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH
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- Väänänen, Sami P. (author)
- University of Eastern Finland,Kuopio University Hospital
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- Flivik, Gunnar (author)
- Lund University,Lunds universitet,Forskningsgruppen för höft- och knäproteskirurgi,Forskargrupper vid Lunds universitet,The Hip and Knee Joint Arthroplasty Research Group,Lund University Research Groups
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- Jurvelin, Jukka S. (author)
- University of Eastern Finland
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- Dahlberg, Leif (author)
- Lund University,Lunds universitet,Lund OsteoArthritis Division - From molecule to clinical implementation,Forskargrupper vid Lunds universitet,Lund University Research Groups
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- Isaksson, Hanna (author)
- Lund University,Lunds universitet,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,Building Bone Killing Bugs,Forskargrupper vid Lunds universitet,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH,Lund University Research Groups
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(creator_code:org_t)
- 2019-02-22
- 2020
- English.
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In: Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization. - : Informa UK Limited. - 2168-1163 .- 2168-1171. ; 8:1, s. 76-86
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Abstract
Subject headings
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- Radiological and pathological characteristics of hip osteoarthritis (OA) is joint-space loss due to degradation of articular cartilage. However, patients with early-stage OA do not yet show any radiological signs, which leaves them without diagnosis and treatment. This study evaluates the potential of a novel tool to identify pre-radiographic OA changes based on hip bone morphology. Two statistical appearance models for femur and pelvis were used to estimate the 3Dmorphology of the hip bones based on planar radiographs from patients. Well-known hip geometrical parameters (n = 22) were computed from patient CT scans (truth), 3D reconstructions (new method) and radiographs (calculated manually). The methods were compared by measuring relative error to truth. The new method was significantly more accurate in calculating hip geometrical parameters than the manual 2D calculations. The proposed approach could also capture rotational parameters like cross-over sign and anterior wall sign (100% correct predictions). The method can successfully reconstruct 3D hip shapes and densities for patients that have not yet developed severe osteoarthritis, and provided higher precision than manual estimations. Thus, it may be used to calculate morphological parameters that are predictors of OA and can become a powerful tool in human hip OA research and diagnostics.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Ortopedi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Orthopaedics (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinsk bioteknologi -- Medicinsk bioteknologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Medical Biotechnology -- Medical Biotechnology (hsv//eng)
Keyword
- diagnostics
- hip morphology
- Hip osteoarthritis
- Statistical Appearance Model
Publication and Content Type
- art (subject category)
- ref (subject category)
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