A phantom based laser marking workflow to visually assess geometric image distortion in magnetic resonance guided radiotherapy.

External laser bridge Gradient nonlinearity Lightweight plastic skeleton MR distortion correction Patient marking workflow Silicone-based spherical fiducials

Journal

Physics and imaging in radiation oncology
ISSN: 2405-6316
Titre abrégé: Phys Imaging Radiat Oncol
Pays: Netherlands
ID NLM: 101704276

Informations de publication

Date de publication:
Jan 2021
Historique:
received: 29 06 2020
revised: 27 01 2021
accepted: 28 01 2021
entrez: 26 4 2021
pubmed: 27 4 2021
medline: 27 4 2021
Statut: epublish

Résumé

Magnetic resonance (MR)-only workflows require quality assurance due to potential dosimetric impacts of using geometry distorted MR images in radiotherapy planning. MR-visible silicone-based fiducials were arranged in regular 3D structures to cover extended imaging volumes. The scanner's patient marking workflow with a 2-axes movable laser bridge allowed to visually check geometric distortions of each MR reconstructed fiducial against its true position in 3D space. A measurement resolution and uncertainty of the order of 0.5 mm in sagittal and coronal, and 1 mm in transversal direction was found. The proposed workflow required 1 min of evaluation time per fiducial position, and a 9 min 3D MR volume acquisition.

Identifiants

pubmed: 33898786
doi: 10.1016/j.phro.2021.01.012
pii: S2405-6316(21)00010-5
pmc: PMC8058018
doi:

Types de publication

Journal Article

Langues

eng

Pagination

95-99

Informations de copyright

© 2021 The Author(s).

Déclaration de conflit d'intérêts

The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: All three authors are employed by Siemens Healthcare GmbH, Erlangen, Germany, a manufacturer of MR scanners.

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Auteurs

Matthias Drobnitzky (M)

Siemens Healthcare GmbH, Magnetic Resonance, Erlangen, Germany.

Axel Vom Endt (A)

Siemens Healthcare GmbH, Magnetic Resonance, Erlangen, Germany.

Andrew Dewdney (A)

Siemens Healthcare GmbH, Magnetic Resonance, Erlangen, Germany.

Classifications MeSH