Anglia Ruskin Research Online (ARRO)
Browse
1-s2.0-S1120179722020890-main.pdf (7.24 MB)

The use of cardiac CT acquisition mode for dynamic musculoskeletal imaging

Download (7.24 MB)
journal contribution
posted on 2023-07-26, 16:02 authored by Benyameen Keelson, Luca Buzzatti, Gert Van Gompel, Thierry Scheerlinck, Savanah Hereus, Johan de Mey, Erik Cattrysse, Jef Vandemeulebroucke, Nico Buls
Objectives To quantitatively evaluate the impact of a cardiac acquisition CT mode on motion artifacts in comparison to a conventional cine mode for dynamic musculoskeletal (MSK) imaging. Methods A rotating PMMA phantom with air-filled holes drilled at varying distances from the disk center corresponding to linear hole speeds of 0.75 cm/s, 2.0 cm/s, and 3.6 cm/s was designed. Dynamic scans were obtained in cardiac and cine modes while the phantom was rotating at 48°/s in the CT scanner. An automated workflow to compute the Jaccard distance (JD) was established to quantify degree of motion artifacts in the reconstructed phantom images. JD values between the cardiac and cine scan modes were compared using a paired sample t-test. In addition, three healthy volunteers were scanned with both modes during a cyclic flexion–extension motion of the knee and analysed using the proposed metric. Results For all hole sizes and speeds, the cardiac scan mode had significantly lower (p-value <0.001) JD values. (0.39 [0.32–0.46]) i.e less motion artifacts in comparison to the cine mode (0.72 [0.68–0.76]). For both modes, a progressive increase in JD was also observed as the linear speed of the holes increased from 0.75 cm/s to 3.6 cm/s. The dynamic images of the three healthy volunteers showed less artifacts when scanned in cardiac mode compared to cine mode, and this was quantitatively confirmed by the JD values. Conclusions A cardiac scan mode could be used to study dynamic musculoskeletal phenomena especially of fast-moving joints since it significantly minimized motion artifacts.

History

Refereed

  • Yes

Volume

104

Page range

75-84

Publication title

Physica Medica

ISSN

1724-191X

Publisher

Elsevier BV

File version

  • Published version

Language

  • eng

Legacy posted date

2022-11-23

Legacy creation date

2022-11-17

Legacy Faculty/School/Department

Faculty of Health, Education, Medicine & Social Care

Usage metrics

    ARU Outputs

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC