A step closer to automation: kilovoltage and Megavoltage Planar Imaging Quality Assurance, baseline, tolerance and action levels definition and exploration

Επιστημονική δημοσίευση - Άρθρο Περιοδικού uoadl:3340334 20 Αναγνώσεις

Μονάδα:
Ερευνητικό υλικό ΕΚΠΑ
Τίτλος:
A step closer to automation: kilovoltage and Megavoltage Planar Imaging Quality Assurance, baseline, tolerance and action levels definition and exploration
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
Purpose: To establish automated quality assurance (QA) procedures for the kilovoltage (kV) and the Megavoltage (MV) imagers of two linear accelerators (LINACS) using a commercial software. Methods: SNC Machine™ phantoms and software were used and the baseline values, tolerance and action levels for various image quality parameters were defined. Scaling, spatial resolution, contrast, uniformity and noise were considered, explored and evaluated utilizing the appropriate phantoms and the accompanying software. kV and MV planar radiographic images, for 6MV and 10MV beams were obtained for each LINAC. For both kV and MV QA tasks, the baseline values for spatial resolution, contrast, uniformity and noise were defined. Results: Subsequent measurements performed were highly reproducible and within tolerance and action levels, while noise showed variations. The calculated tolerance and action levels for noise were looser compared to the other image quality metrics. Conclusions: An automated QA workflow of the kV and MV planar radiographic mode of LINAC imagers’ was established and appears to be time effective. © 2023 Associazione Italiana di Fisica Medica e Sanitaria
Έτος δημοσίευσης:
2023
Συγγραφείς:
Fanou, A.-M.
Kollaros, N.
Patatoukas, G.
Efstathopoulos, E.
Platoni, K.
Περιοδικό:
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
Εκδότης:
Associazione Italiana di Fisica Medica
Τόμος:
107
Λέξεις-κλειδιά:
Article; automation; controlled study; image quality; megavoltage radiation; quality control; spatial analysis; automation; imaging phantom; magnetic and electromagnetic equipment; software, Automation; Particle Accelerators; Phantoms, Imaging; Software
Επίσημο URL (Εκδότης):
DOI:
10.1016/j.ejmp.2023.102536
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