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Iterative algorithms for metal artifact reduction in children with orthopedic prostheses: preliminary results

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Pediatric Radiology Aims and scope Submit manuscript

Abstract

Background

Increased computational power allows computed tomography (CT) software to process very advanced mathematical algorithms to generate better quality images at lower doses. One such algorithm, iterative metal artifact reduction (iMAR) has proven to decrease metal artifacts seen in CT images of adults with orthopedic implants.

Objectives

To evaluate artifact reduction capability of the algorithm in lower-dose pediatric CT compared to our routine third-generation advanced modeled iterative reconstruction (ADMIRE) algorithm.

Materials and methods

Thirteen children (11–17 years old) with metal implants underwent routine clinically indicated CT. Data sets were reconstructed with an iMAR algorithm. Hounsfield units and image noise were measured in bone, muscle and fat in the streak artifact (near the implant) and at the greatest distance from the artifact (far from the implant). A regression model compared the effects of the algorithm (standard ADMIRE vs. iMAR) near and far from the implant.

Results

Near the implant, Hounsfield units with iMAR were significantly different in our standard ADMIRE vs. iMAR for bone, muscle and fat (P<0.001). Noise was significantly different in standard ADMIRE vs. iMAR in bone (P<0.003). Far from the implant, Hounsfield units and noise were not significantly different for ADMIRE vs. iMAR, for the three tissue types.

Conclusion

These preliminary results demonstrate that iMAR algorithms improves Hounsfield units near the implant and decreases image noise in bone in low-dose pediatric CT. It does this without changing baseline tissue density or noise far from the implant.

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Authors and Affiliations

  1. Paediatric Radiology Unit, Division of Radiology, Geneva Children’s Hospitals, Rue Willy-Donzé 6, 1211, Geneva, Switzerland

    Seema Toso, Meryle Laurent, Marirosa Cristallo Lacalamita & Sylviane Hanquinet

  2. Division of Clinical Epidemiology, Geneva University Hospitals, Geneva, Switzerland

    Elise Dupuis Lozeron & Pauline Brindel

Authors
  1. Seema Toso
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  2. Meryle Laurent
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  3. Elise Dupuis Lozeron
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  4. Pauline Brindel
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  5. Marirosa Cristallo Lacalamita
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  6. Sylviane Hanquinet
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Correspondence to Seema Toso.

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Toso, S., Laurent, M., Lozeron, E.D. et al. Iterative algorithms for metal artifact reduction in children with orthopedic prostheses: preliminary results. Pediatr Radiol 48, 1884–1890 (2018). https://doi.org/10.1007/s00247-018-4217-6

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  • DOI: https://doi.org/10.1007/s00247-018-4217-6

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