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Updated: Mar 31, 2026

Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases
Published on: March 11, 2016
Evaluation of AutoCAL for electronic portal imaging device-based multi-leaf collimator quality assurance
1NCCI, Lismore Base Hospital, Northern NSW Local Health District, Lismore, NSW, 2480, Australia. tarafder.shameem@ncahs.health.nsw.gov.au.
Abstract:
Modern radiotherapy treatment techniques commonly include multi-leaf collimators (MLCs) to shape the treatment fields and to conform the radiation dose to the target volume. MLCs require accurate and frequent quality assurance (QA) to ensure spatial and temporal accuracy of the leaves in order to allow optimal dose delivery to the patient. In this study, the accuracy and efficacy of AutoCAL, a commercial software for MLC QA, were evaluated. The software was found to be reproducible to within 0.2 mm and to correspond with conventional QA methods (within 1.2 and 0.9 mm of film and water tank measurements, respectively.) Thus, AutoCAL was found to be an accurate and efficient tool for routine MLC QA and calibration.

