Comparison and Combination of Dual-Energy- and Iterative-Based Metal Artefact Reduction on Hip Prosthesis and Dental Implants

PLoS One. 2015 Nov 24;10(11):e0143584. doi: 10.1371/journal.pone.0143584. eCollection 2015.

Abstract

Purpose: To compare and combine dual-energy based and iterative metal artefact reduction on hip prosthesis and dental implants in CT.

Material and methods: A total of 46 patients (women:50%,mean age:63±15years) with dental implants or hip prostheses (n = 30/20) were included and examined with a second-generation Dual Source Scanner. 120kV equivalent mixed-images were derived from reconstructions of the 100/Sn140kV source images using no metal artefact reduction (NOMAR) and iterative metal artefact reduction (IMAR). We then generated monoenergetic extrapolations at 130keV from source images without IMAR (DEMAR) or from source images with IMAR, (IMAR+DEMAR). The degree of metal artefact was quantified for NOMAR, IMAR, DEMAR and IMAR+DEMAR using a Fourier-based method and subjectively rated on a five point Likert scale by two independent readers.

Results: In subjects with hip prosthesis, DEMAR and IMAR resulted in significantly reduced artefacts compared to standard reconstructions (33% vs. 56%; for DEMAR and IMAR; respectively, p<0.005), but the degree of artefact reduction was significantly higher for IMAR (all p<0.005). In contrast, in subjects with dental implants only IMAR showed a significant reduction of artefacts whereas DEMAR did not (71%, vs. 8% p<0.01 and p = 0.1; respectively). Furthermore, the combination of IMAR with DEMAR resulted in additionally reduced artefacts (Hip prosthesis: 47%, dental implants 18%; both p<0.0001).

Conclusion: IMAR allows for significantly higher reduction of metal artefacts caused by hip prostheses and dental implants, compared to a dual energy based method. The combination of DE-source images with IMAR and subsequent monoenergetic extrapolation provides an incremental benefit compared to both single methods.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Dental Implants*
  • Female
  • Hip Prosthesis*
  • Humans
  • Male
  • Middle Aged
  • Tomography, X-Ray Computed

Substances

  • Dental Implants

Grants and funding

The study was supported by a research grant from Siemens Healthcare, Germany. There was no additional external funding received for this study. The funder had no role in study design, data collection and analysis or decision to publish. Co-author Rainer Raupach (RR) is employed by Siemens AG. Siemens AG provided support in the form of salary for author RR, but did not have any additional role in the study design, data collection and analysis or decision to publish. The specific role of this author is articulated in the ‘author contributions’ section.