A Semi-automatic Diagnosis of Hip Dysplasia on X-Ray Films

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dc.citation.volume7
dc.contributor.authorYang G
dc.contributor.authorJiang Y
dc.contributor.authorLiu T
dc.contributor.authorZhao X
dc.contributor.authorChang X
dc.contributor.authorQiu Z
dc.contributor.editorGao X
dc.date.accessioned2024-10-30T22:11:49Z
dc.date.available2024-10-30T22:11:49Z
dc.date.issued2020-12-17
dc.description.abstractBackground: Diagnosis of hip joint plays an important role in early screening of hip diseases such as coxarthritis, heterotopic ossification, osteonecrosis of the femoral head, etc. Early detection of hip dysplasia on X-ray films may probably conduce to early treatment of patients, which can help to cure patients or relieve their pain as much as possible. There has been no method or tool for automatic diagnosis of hip dysplasia till now. Results: A semi-automatic method for diagnosis of hip dysplasia is proposed. Considering the complexity of medical imaging, the contour of acetabulum, femoral head, and the upper side of thigh-bone are manually marked. Feature points are extracted according to marked contours. Traditional knowledge-driven diagnostic criteria is abandoned. Instead, a data-driven diagnostic model for hip dysplasia is presented. Angles including CE, sharp, and Tonnis angle which are commonly measured in clinical diagnosis, are automatically obtained. Samples, each of which consists of these three angle values, are used for clustering according to their densities in a descending order. A three-dimensional normal distribution derived from the cluster is built and regarded as the parametric model for diagnosis of hip dysplasia. Experiments on 143 X-ray films including 286 samples (i.e., 143 left and 143 right hip joints) demonstrate the effectiveness of our method. According to the method, a computer-aided diagnosis tool is developed for the convenience of clinicians, which can be downloaded at http://www.bio-nefu.com/HIPindex/. The data used to support the findings of this study are available from the corresponding authors upon request. Conclusions: This data-driven method provides a more objective measurement of the angles. Besides, it provides a new criterion for diagnosis of hip dysplasia other than doctors' experience deriving from knowledge-driven clinical manual, which actually corresponds to very different way for clinical diagnosis of hip dysplasia.
dc.description.confidentialfalse
dc.edition.editionDecember 2020
dc.identifier.citationYang G, Jiang Y, Liu T, Zhao X, Chang X, Qiu Z. (2020). A Semi-automatic Diagnosis of Hip Dysplasia on X-Ray Films. Frontiers in Molecular Biosciences. 7.
dc.identifier.doi10.3389/fmolb.2020.613878
dc.identifier.eissn2296-889X
dc.identifier.elements-typejournal-article
dc.identifier.number71378
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/71877
dc.languageEnglish
dc.publisherFrontiers Media S.A.
dc.publisher.urihttps://www.frontiersin.org/journals/molecular-biosciences/articles/10.3389/fmolb.2020.613878/full
dc.relation.isPartOfFrontiers in Molecular Biosciences
dc.rights(c) 2020 The Author/s
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjecthip joint
dc.subjectdysplasia
dc.subjectx-ray
dc.subjectmanual segmentation
dc.subjectautomatic angle measurement
dc.subjectdensity descending clustering
dc.titleA Semi-automatic Diagnosis of Hip Dysplasia on X-Ray Films
dc.typeJournal article
pubs.elements-id488949
pubs.organisational-groupOther
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