Radiotherapy planning of spine and pelvis using single-energy metal artifact reduction corrected computed tomography sets

Daliya Ignatius; Zaid Alkhatib; Pejman Rowshanfarzad; Simon Goodall; Mounir Ibrahim; Andrew Hirst; Riley Croxford; Joshua Dass; Mahsheed Sabet

doi:10.1016/j.phro.2023.100449

Radiotherapy planning of spine and pelvis using single-energy metal artifact reduction corrected computed tomography sets

Phys Imaging Radiat Oncol. 2023 May 18:26:100449. doi: 10.1016/j.phro.2023.100449. eCollection 2023 Apr.

Authors

Daliya Ignatius¹, Zaid Alkhatib², Pejman Rowshanfarzad¹, Simon Goodall¹, Mounir Ibrahim², Andrew Hirst¹, Riley Croxford¹, Joshua Dass², Mahsheed Sabet^{1

2}

Affiliations

¹ School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA, Australia.
² Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, WA, Australia.

Abstract

Metal artifacts produce incorrect Hounsfield units and impact treatment planning accuracy. This work evaluates the use of single-energy metal artifact reduction (SEMAR) algorithm for treatment planning by comparison to manual artifact overriding. CT datasets of in-house 3D-printed spine and pelvic phantoms with and without metal insert(s) and two treated patients with metal implants were analysed. CT number accuracy improved with the use of SEMAR filter: root mean square deviation (RMSD) from reference (without metal) reduced by 35.4 in spine and 98.8 in hip. The plan dose volume histograms (DVHs) and dosimetric measurements showed comparable results. SEMAR reconstruction improved planning efficiency.

Keywords: 3D printing; Computed Tomography (CT); Metal artifacts; Radiotherapy treatment planning; Single-Energy Metal Artifact Reduction (SEMAR).