QALMA: A computational toolkit for the analysis of quality protocols for medical linear accelerators in radiation therapy | Zendy

Md. Mushfiqur Rahman | Zendy; Yu Lei | Zendy; Georgios Kalantzis | Zendy

Open Access

QALMA: A computational toolkit for the analysis of quality protocols for medical linear accelerators in radiation therapy

Author(s) -

Md. Mushfiqur Rahman,

Yu Lei,

Georgios Kalantzis

Publication year - 2018

Publication title -

softwarex

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.528

H-Index - 21

ISSN - 2352-7110

DOI - 10.1016/j.softx.2018.03.003

Subject(s) - linear particle accelerator , quality assurance , multileaf collimator , computer science , medical physics , beam (structure) , physics , optics , medicine , external quality assessment , pathology

Quality Assurance (QA) for medical linear accelerator (linac) is one of the primary concerns in external beam radiation Therapy. Continued advancements in clinical accelerators and computer control technology make the QA procedures more complex and time consuming which often, adequate software accompanied with specific phantoms is required. To ameliorate that matter, we introduce QALMA (Quality Assurance for Linac with MATLAB), a MALAB toolkit which aims to simplify the quantitative analysis of QA for linac which includes Star-Shot analysis, Picket Fence test, Winston–Lutz test, Multileaf Collimator (MLC) log file analysis and verification of light & radiation field coincidence test.

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