Literature DB >> 12094970

Direct aperture optimization: a turnkey solution for step-and-shoot IMRT.

D M Shepard1, M A Earl, X A Li, S Naqvi, C Yu.   

Abstract

IMRT treatment plans for step-and-shoot delivery have traditionally been produced through the optimization of intensity distributions (or maps) for each beam angle. The optimization step is followed by the application of a leaf-sequencing algorithm that translates each intensity map into a set of deliverable aperture shapes. In this article, we introduce an automated planning system in which we bypass the traditional intensity optimization, and instead directly optimize the shapes and the weights of the apertures. We call this approach "direct aperture optimization." This technique allows the user to specify the maximum number of apertures per beam direction, and hence provides significant control over the complexity of the treatment delivery. This is possible because the machine dependent delivery constraints imposed by the MLC are enforced within the aperture optimization algorithm rather than in a separate leaf-sequencing step. The leaf settings and the aperture intensities are optimized simultaneously using a simulated annealing algorithm. We have tested direct aperture optimization on a variety of patient cases using the EGS4/BEAM Monte Carlo package for our dose calculation engine. The results demonstrate that direct aperture optimization can produce highly conformal step-and-shoot treatment plans using only three to five apertures per beam direction. As compared with traditional optimization strategies, our studies demonstrate that direct aperture optimization can result in a significant reduction in both the number of beam segments and the number of monitor units. Direct aperture optimization therefore produces highly efficient treatment deliveries that maintain the full dosimetric benefits of IMRT.

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Year:  2002        PMID: 12094970     DOI: 10.1118/1.1477415

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


  60 in total

1.  Effect of photon-beam energy on VMAT and IMRT treatment plan quality and dosimetric accuracy for advanced prostate cancer.

Authors:  Marlies Pasler; Dietmar Georg; Holger Wirtz; Johannes Lutterbach
Journal:  Strahlenther Onkol       Date:  2011-11-29       Impact factor: 3.621

2.  Bridging the gap between IMRT and VMAT: dense angularly sampled and sparse intensity modulated radiation therapy.

Authors:  Ruijiang Li; Lei Xing
Journal:  Med Phys       Date:  2011-09       Impact factor: 4.071

3.  Inverse-optimized 3D conformal planning: minimizing complexity while achieving equivalence with beamlet IMRT in multiple clinical sites.

Authors:  Benedick A Fraass; Jennifer M Steers; Martha M Matuszak; Daniel L McShan
Journal:  Med Phys       Date:  2012-06       Impact factor: 4.071

4.  Sensitivity analysis for lexicographic ordering in radiation therapy treatment planning.

Authors:  T Long; M Matuszak; M Feng; B A Fraass; R K Ten Haken; H E Romeijn
Journal:  Med Phys       Date:  2012-06       Impact factor: 4.071

5.  Comparing radiation treatments using intensity-modulated beams, multiple arcs, and single arcs.

Authors:  Grace Tang; Matthew A Earl; Shuang Luan; Chao Wang; Majid M Mohiuddin; Cedric X Yu
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-04       Impact factor: 7.038

6.  Four-dimensional intensity-modulated radiation therapy planning for dynamic tracking using a direct aperture deformation (DAD) method.

Authors:  Minzhi Gui; Yuanming Feng; Byongyong Yi; Anil Arvind Dhople; Cedric Yu
Journal:  Med Phys       Date:  2010-05       Impact factor: 4.071

7.  Quality Control of Portal Imaging with PTW EPID QC PHANTOM.

Authors:  Csilla Pesznyák; Gábor Fekete; Arpád Mózes; Balázs Kiss; Réka Király; István Polgár; Pál Zaránd; Arpád Mayer
Journal:  Strahlenther Onkol       Date:  2009-02-18       Impact factor: 3.621

8.  Generation of a novel phase-space-based cylindrical dose kernel for IMRT optimization.

Authors:  Hualiang Zhong; Indrin J Chetty
Journal:  Med Phys       Date:  2012-05       Impact factor: 4.071

9.  Improving IMRT delivery efficiency with reweighted L1-minimization for inverse planning.

Authors:  Hojin Kim; Stephen Becker; Rena Lee; Soonhyouk Lee; Sukyoung Shin; Emmanuel Candès; Lei Xing; Ruijiang Li
Journal:  Med Phys       Date:  2013-07       Impact factor: 4.071

10.  Deliverable navigation for multicriteria step and shoot IMRT treatment planning.

Authors:  David Craft; Christian Richter
Journal:  Phys Med Biol       Date:  2012-12-06       Impact factor: 3.609

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