Design and Validation of Automated Femoral Bone Morphology Measurements in Cerebral Palsy.
Accurate quantification of bone morphology is important for monitoring the progress of bony deformation in patients with cerebral palsy. The purpose of the study was to develop an automatic bone morphology measurement method using one or two radiographs. The study focused on four morphologic measure...
| Publicado en: | Journal of Digital Imaging Vol. 27; no. 2; pp. 262 - 270 |
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| Autores principales: | , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104043768&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104043768 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Apr2014 vid: 27 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104043768 94852774 10.1007/s10278-013-9643-2 NLM24129653 PMC3948922 104043768 ppf: 262 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Design and Validation of Automated Femoral Bone Morphology Measurements in Cerebral Palsy. aug: au: Park, Noyeol Lee, Jehee Sung, Ki Park, Moon Koo, Seungbum affil: Department of Computer Science and Engineering, Seoul National University, Seoul Republic of Korea sug: subj: Cerebral Palsy Pathology Femur Radiography Femur Anatomy and Histology Tomography, X-Ray Computed Models, Statistical Radiographic Image Enhancement Radiographic Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Evaluation Research Factor Analysis Intraclass Correlation Coefficient Confidence Intervals Descriptive Statistics Child Adolescence Female Male Human Funding Source Child: 6-12 years Adolescent: 13-18 years Female Male ab: Accurate quantification of bone morphology is important for monitoring the progress of bony deformation in patients with cerebral palsy. The purpose of the study was to develop an automatic bone morphology measurement method using one or two radiographs. The study focused on four morphologic measurements-neck-shaft angle, femoral anteversion, shaft bowing angle, and neck length. Fifty-four three-dimensional (3D) geometrical femur models were generated from the computed tomography (CT) of cerebral palsy patients. Principal component analysis was performed on the combined data of geometrical femur models and manual measurements of the four morphologic measurements to generate a statistical femur model. The 3D-2D registration of the statistical femur model for radiography computes four morphological measurements of the femur in the radiographs automatically. The prediction performance was tested here by means of leave-one-out cross-validation and was quantified by the intraclass correlation coefficient (ICC) and by measuring the absolute differences between automatic prediction from two radiographs and manual measurements using original CT images. For the neck-shaft angle, femoral anteversion, shaft bowing angle, and neck length, the ICCs were 0.812, 0.960, 0.834, and 0.750, respectively, and the mean absolute differences were 2.52°, 2.85°, 0.92°, and 1.88 mm, respectively. Four important dimensions of the femur could be predicted from two views with very good agreement with manual measurements from CT and hip radiographs. The proposed method can help young patients avoid instances of large radiation exposure from CT, and their femoral deformities can be quantified robustly and effectively from one or two radiograph(s). pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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