Measuring femoral lesions despite CT metal artefacts: a cadaveric study.
Objective: Computed tomography is the modality of choice for measuring osteolysis but suffers from metal-induced artefacts obscuring periprosthetic tissues. Previous papers on metal artefact reduction (MAR) show qualitative improvements, but their algorithms have not found acceptance for clinical ap...
| Publicado en: | Skeletal Radiology Vol. 41; no. 5; pp. 547 - 556 |
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| Autores principales: | , , , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
May2012
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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=104443098&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104443098 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03642348 O14 jtl: Skeletal Radiology issn: 03642348 maglogo: N pubinfo: dt: May2012 vid: 41 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104443098 NLM21732221 2011751689 10.1007/s00256-011-1223-2 NLM21732221 PMC3310131 104443098 ppf: 547 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Measuring femoral lesions despite CT metal artefacts: a cadaveric study. aug: au: Malan DF Botha CP Kraaij G Joemai RM van der Heide HJ Nelissen RG Valstar ER Malan, Daniel F Botha, Charl P Kraaij, Gert Joemai, Raoul M S van der Heide, Huub J L Nelissen, Rob G H H Valstar, Edward R affil: Department of Orthopaedics, Leiden University Medical Center, J11-R Albinusdreef 2, 2333ZA Leiden, The Netherlands sug: subj: Artifacts Femur Radiography Metals Osteolysis Radiography Prostheses and Implants Tomography, X-Ray Computed Methods Aged Aged, 80 and Over Algorithms Cadaver Female Human Male Osteolysis Etiology Phantoms, Imaging Prosthesis Failure Adverse Effects Radiographic Image Enhancement Methods Aged: 65+ years Aged, 80 & over Female Male ab: Objective: Computed tomography is the modality of choice for measuring osteolysis but suffers from metal-induced artefacts obscuring periprosthetic tissues. Previous papers on metal artefact reduction (MAR) show qualitative improvements, but their algorithms have not found acceptance for clinical applications. We investigated to what extent metal artefacts interfere with the segmentation of lesions adjacent to a metal femoral implant and whether metal artefact reduction improves the manual segmentation of such lesions.Materials and Methods: We manually created 27 periprosthetic lesions in 10 human cadaver femora. We filled the lesions with a fibrotic interface tissue substitute. Each femur was fitted with a polished tapered cobalt-chrome prosthesis and imaged twice--once with the metal, and once with a substitute resin prosthesis inserted. Metal-affected CTs were processed using standard back-projection as well as projection interpolation (PI) MAR. Two experienced users segmented all lesions and compared segmentation accuracy.Results: We achieved accurate delineation of periprosthetic lesions in the metal-free images. The presence of a metal implant led us to underestimate lesion volume and introduced geometrical errors in segmentation boundaries. Although PI MAR reduced streak artefacts, it led to greater underestimation of lesion volume and greater geometrical errors than without its application.Conclusion: CT metal artefacts impair image segmentation. PI MAR can improve subjective image appearance but causes loss of detail and lower image contrast adjacent to prostheses. Our experiments showed that PI MAR is counterproductive for manual segmentation of periprosthetic lesions and should be used with care. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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