Literature DB >> 17388168

Reduction of IMRT beam complexity through the use of beam modulation penalties in the objective function.

Martha M Matuszak1, Edward W Larsen, Benedick A Fraass.   

Abstract

Inverse planned intensity modulated radiation therapy (IMRT) has become commonplace in treatment centers across the world. Due to the implications of beam complexity on treatment planning, delivery, and quality assurance, several methods have been proposed to reduce the complexity. These methods include beamlet intensity restrictions, smoothing procedures, and direct aperture optimization. Many of these methods typically sacrifice target coverage and/or normal tissue sparing in return for increased beam smoothness and delivery efficiency. In the present work, we penalize beam modulation in the inverse planning cost function to reduce beam complexity and increase delivery efficiency, while maintaining dosimetric quality. Three modulation penalties were tested: two that penalized deviation from Savitzky-Golay filtered versions of the optimized beams, and one that penalized the plan intensity map variation (a measure of overall beam modulation). The modulation penalties were applied at varying weights in a weighted sum objective (or cost) function to investigate their ability to reduce beam complexity while preserving IMRT plan quality. The behavior of the penalties was characterized on a CT phantom, and then clinical optimization comparisons were performed in the brain, prostate, and head/neck. Comparisons were made between (i) plans with a baseline cost function (ii) plans with a baseline cost function employing maximum beamlet intensity limits, and (iii) plans with each of the modulation penalties added to the baseline cost function. Plan analysis was based upon dose-volume histograms, relevant dose metrics, beam modulation, and monitor units required for step and shoot delivery. Each of the techniques yielded improvements over a baseline cost function in terms of MU reduction. In most cases, this was achieved with minimal change to the plan DVHs and metrics. In all cases, an acceptable plan was reached with each of the methods while reducing MU substantially. Each individual method has merit as a tool for reducing IMRT beam complexity and could be easily applied in the clinic to improve overall inverse plan quality. However, the penalty based upon the plan intensity map variation consistently produced the most delivery-efficient plans with the fewest computations.

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Year:  2007        PMID: 17388168     DOI: 10.1118/1.2409749

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


  16 in total

1.  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

2.  Search for IMRT inverse plans with piecewise constant fluence maps using compressed sensing techniques.

Authors:  Lei Zhu; Lei Xing
Journal:  Med Phys       Date:  2009-05       Impact factor: 4.071

3.  Adaptive diffusion smoothing: a diffusion-based method to reduce IMRT field complexity.

Authors:  Martha M Matuszak; Edward W Larsen; Kyung-Wook Jee; Daniel L McShan; Benedick A Fraass
Journal:  Med Phys       Date:  2008-04       Impact factor: 4.071

4.  Inverse planning for IMRT with nonuniform beam profiles using total-variation regularization (TVR).

Authors:  Taeho Kim; Lei Zhu; Tae-Suk Suh; Sarah Geneser; Bowen Meng; Lei Xing
Journal:  Med Phys       Date:  2011-01       Impact factor: 4.071

5.  Penalization of aperture complexity in inversely planned volumetric modulated arc therapy.

Authors:  Kelly C Younge; Martha M Matuszak; Jean M Moran; Daniel L McShan; Benedick A Fraass; Donald A Roberts
Journal:  Med Phys       Date:  2012-11       Impact factor: 4.071

Review 6.  Influence of segment width on plan quality for volumetric modulated arc based stereotactic body radiotherapy.

Authors:  Karthikeyan Nithiyanantham; Ganesh Kadirampatti Mani; Vikraman Subramani; Karrthick Karukkupalayam Palaniappan; Mohanraj Uthiran; Sennniandavar Vellengiri; Sambasivaselli Raju; Sanjay S Supe; Tejinder Kataria
Journal:  Rep Pract Oncol Radiother       Date:  2014-04-16

7.  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

8.  Effect of fluence smoothing on the quality of intensity-modulated radiation treatment plans.

Authors:  Puzhakkal Niyas; Kallikuzhiyil Kochunny Abdullah; Manthala Padannayil Noufal; Thekkedath Sankaran Nair
Journal:  Radiol Phys Technol       Date:  2016-03-07

9.  Quantum-inspired algorithm for radiotherapy planning optimization.

Authors:  Julia M Pakela; Huan-Hsin Tseng; Martha M Matuszak; Randall K Ten Haken; Daniel L McShan; Issam El Naqa
Journal:  Med Phys       Date:  2019-11-07       Impact factor: 4.071

10.  Comparison of simple and complex liver intensity modulated radiotherapy.

Authors:  Mark T Lee; Thomas G Purdie; Cynthia L Eccles; Michael B Sharpe; Laura A Dawson
Journal:  Radiat Oncol       Date:  2010-11-30       Impact factor: 3.481

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