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

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 p...

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Detalles Bibliográficos
Autores principales: Ignatius, Daliya, Alkhatib, Zaid, Rowshanfarzad, Pejman, Goodall, Simon, Ibrahim, Mounir, Hirst, Andrew, Croxford, Riley, Dass, Joshua, Sabet, Mahsheed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10230255/
https://www.ncbi.nlm.nih.gov/pubmed/37266518
http://dx.doi.org/10.1016/j.phro.2023.100449
Descripción
Sumario: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.