Literature DB >> 12033577

Incorporation of realistic delivery limitations into dynamic MLC treatment delivery.

Dale W Litzenberg1, Jean M Moran, Benedick A Fraass.   

Abstract

The clinical implementation of IMRT involves the use of a number of complex software-based systems, typically including an inverse planning system, a leaf sequencer, and a computer-controlled treatment delivery system. The inverse planning system determines the desired fluence patterns, the leaf sequencer translates those fluence maps into leaf trajectories, and the control system delivers those trajectories. While verification of intensity-modulated treatment fields has focused primarily on the dosimetric aspects of delivery, accurate delivery of the intended fluence distribution is dependent upon both the leaf sequencer and delivery control systems. Leaf sequencing algorithms typically do not incorporate many control system limitations, and this can lead to discrepancies between planned and delivered sequences. In this work, simple and complex fields were sequenced for the dynamic sliding window technique using different leaf speeds and tolerance settings to identify various limitations of the accelerator control system. This work was conducted on a Varian 2100 EX equipped with a Millennium 120 leaf MLC. The identified limitations were then incorporated into the sequencing algorithm using a limiting leaf velocity (less than the maximum leaf velocity), the leaf position tolerance, and the communications delay in the control system. Collision avoidance in leaf pairs was found to depend on a control system-enforced minimum gap between leaves and led to acceleration effects. By incorporating these effects into the leaf sequencing algorithm, dynamic sliding-window leaf sequences were produced which did not require beam interruptions or dose rate modulations for the parameter values used in calculating the sequence (dose rate, tolerance, leaf speed, and total monitor units). Incorporation of control system limitations into the leaf sequencing algorithm results in IMRT fields that are delivered with the prescribed constant dose rate, require less time to deliver, and have well-defined, calculable transmission dose characteristics.

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Mesh:

Year:  2002        PMID: 12033577     DOI: 10.1118/1.1470499

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  13 in total

1.  Overestimation of low-dose radiation in intensity-modulated radiotherapy with sliding-window technique.

Authors:  Hilke Vorwerk; Daniela Wagner; Björn Seitz; Hans Christiansen; Hendrik A Wolff; Clemens F Hess
Journal:  Strahlenther Onkol       Date:  2009-12       Impact factor: 3.621

Review 2.  Optical and x-ray technology synergies enabling diagnostic and therapeutic applications in medicine.

Authors:  Brian W Pogue; Brian C Wilson
Journal:  J Biomed Opt       Date:  2018-10       Impact factor: 3.170

3.  Use of plan quality degradation to evaluate tradeoffs in delivery efficiency and clinical plan metrics arising from IMRT optimizer and sequencer compromises.

Authors:  Joel R Wilkie; Martha M Matuszak; Mary Feng; Jean M Moran; Benedick A Fraass
Journal:  Med Phys       Date:  2013-07       Impact factor: 4.071

4.  Comparison of MLC positioning deviations using log files and establishment of specific assessment parameters for different accelerators with IMRT and VMAT.

Authors:  Xiutong Lin; Tao Sun; Xiao Liu; Guifang Zhang; Yong Yin
Journal:  Radiat Oncol       Date:  2022-07-16       Impact factor: 4.309

5.  A multi-institution evaluation of MLC log files and performance in IMRT delivery.

Authors:  James R Kerns; Nathan Childress; Stephen F Kry
Journal:  Radiat Oncol       Date:  2014-08-11       Impact factor: 3.481

6.  Performance evaluation of respiratory motion-synchronized dynamic IMRT delivery.

Authors:  S A Yoganathan; K J Maria Das; Arpita Agarwal; Shaleen Kumar
Journal:  J Appl Clin Med Phys       Date:  2013-05-06       Impact factor: 2.102

7.  Verification of dynamic and segmental IMRT delivery by dynamic log file analysis.

Authors:  Dale W Litzenberg; Jean M Moran; Benedick A Fraass
Journal:  J Appl Clin Med Phys       Date:  2002       Impact factor: 2.102

8.  Surface buildup dose dependence on photon field delivery technique for IMRT.

Authors:  Shigeru Yokoyama; Peter L Roberson; Dale W Litzenberg; Jean M Moran; Benedick A Fraass
Journal:  J Appl Clin Med Phys       Date:  2004-04-01       Impact factor: 2.102

9.  Impact of different leaf velocities and dose rates on the number of monitor units and the dose-volume-histograms using intensity modulated radiotherapy with sliding-window technique.

Authors:  Hilke Vorwerk; Daniela Wagner; Clemens F Hess
Journal:  Radiat Oncol       Date:  2008-09-23       Impact factor: 3.481

10.  SWIMRT: a graphical user interface using sliding window algorithm to construct a fluence map machine file.

Authors:  James C L Chow; Grigor N Grigorov; Nuri Yazdani
Journal:  J Appl Clin Med Phys       Date:  2006-05-25       Impact factor: 2.102

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