Literature DB >> 11011737

Computer verification of fluence map for intensity modulated radiation therapy.

L Xing1, J G Li.   

Abstract

In a treatment planning system for intensity modulated radiation therapy (IMRT), the time sequence of multileaf collimator (MLC) settings are derived from an optimal fluence map as a postoptimization process using a software module called a "leaf sequencer." The dosimetric accuracy of the dynamic delivery depends on the functionality of the module and it is important to verify independently the correctness of the leaf sequences for each field of a patient treatment. This verification is unique to the IMRT treatment and has been done using radiographic film, electronic portal imaging device (EPID) or electronic imaging system (BIS). The measurement tests both the leaf sequencer and the dynamic multileaf collimator (MLC) delivery system, providing a reliable assurance of clinical IMRT treatment. However, this process is labor intensive and time consuming. In this paper, we propose to separate quality assurance (QA) of the leaf sequencer from the dynamic MLC delivery system. We describe a simple computer algorithm for the verification of the leaf sequences. The software reads in the leaf sequences and simulates the motion of the MLC leaves. The generated fluence map is then compared quantitatively with the reference map from the treatment planning system. A set of pre-defined QA indices is introduced to measure the "closeness" between the computed and the reference maps. The approach has been used to validate the CORVUS (NOMOS Co., Sewickley, PA) treatment plans. The results indicate that the proposed approach is robust and suitable to support the complex IMRT QA process.

Entities:  

Mesh:

Year:  2000        PMID: 11011737     DOI: 10.1118/1.1289374

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


  6 in total

Review 1.  Complexity metrics for IMRT and VMAT plans: a review of current literature and applications.

Authors:  Sophie Chiavassa; Igor Bessieres; Magali Edouard; Michel Mathot; Alexandra Moignier
Journal:  Br J Radiol       Date:  2019-07-24       Impact factor: 3.039

2.  Process-based quality management for clinical implementation of adaptive radiotherapy.

Authors:  Camille E Noel; Lakshmi Santanam; Parag J Parikh; Sasa Mutic
Journal:  Med Phys       Date:  2014-08       Impact factor: 4.071

3.  Modulation factors calculated with an EPID-derived MLC fluence model to streamline IMRT/VMAT second checks.

Authors:  Stephen Steciw; Satyapal Rathee; Brad Warkentin
Journal:  J Appl Clin Med Phys       Date:  2013-11-08       Impact factor: 2.102

4.  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

5.  Modified dose difference method for comparing dose distributions.

Authors:  Jino Bak; Jin Hwa Choi; Jae-Sung Kim; Suk Won Park
Journal:  J Appl Clin Med Phys       Date:  2012-03-08       Impact factor: 2.102

6.  Patient specific quality assurance for the delivery of intensity modulated radiotherapy.

Authors:  Nzhde Agazaryan; Timothy D Solberg; John J DeMarco
Journal:  J Appl Clin Med Phys       Date:  2003       Impact factor: 2.102

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.