Diode-based transmission detector for IMRT delivery monitoring: a validation study.

Loading...
Thumbnail Image

Date

2016-09-08

Journal Title

Journal ISSN

Volume Title

Repository Usage Stats

234
views
29
downloads

Citation Stats

Abstract

The purpose of this work was to evaluate the potential of a new transmission detector for real-time quality assurance of dynamic-MLC-based radiotherapy. The accuracy of detecting dose variation and static/dynamic MLC position deviations was measured, as well as the impact of the device on the radiation field (surface dose, transmission). Measured dose variations agreed with the known variations within 0.3%. The measurement of static and dynamic MLC position deviations matched the known deviations with high accuracy (0.7-1.2 mm). The absorption of the device was minimal (~ 1%). The increased surface dose was small (1%-9%) but, when added to existing collimator scatter effects could become significant at large field sizes (≥ 30 × 30 cm2). Overall the accuracy and speed of the device show good potential for real-time quality assurance.

Department

Description

Provenance

Citation

Published Version (Please cite this version)

10.1120/jacmp.v17i5.6204

Publication Info

Li, Taoran, Q Jackie Wu, Thomas Matzen, Fang-Fang Yin and Jennifer C O'Daniel (2016). Diode-based transmission detector for IMRT delivery monitoring: a validation study. Journal of applied clinical medical physics, 17(5). pp. 235–244. 10.1120/jacmp.v17i5.6204 Retrieved from https://hdl.handle.net/10161/19398.

This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.

Scholars@Duke

Wu

Qingrong Wu

Professor of Radiation Oncology
Yin

Fang-Fang Yin

Gustavo S. Montana Distinguished Professor of Radiation Oncology

Stereotactic radiosurgery, Stereotactic body radiation therapy, treatment planning optimization, knowledge guided radiation therapy, intensity-modulated radiation therapy, image-guided radiation therapy, oncological imaging and informatics

O'Daniel

Jennifer Colleen O'Daniel

Assistant Professor of Radiation Oncology

Adaptive radiotherapy
Calypso
RapidArc
TBI/TSI
2D and 3D patient-specific quality assurance techniques


Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.