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000127667 0247_ $$2ISSN$$a1522-8541
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000127667 037__ $$aDKFZ-2017-03690
000127667 041__ $$aeng
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000127667 1001_ $$aUnkelbach, Jan$$b0
000127667 245__ $$aOptimization approaches to volumetric modulated arc therapy planning.
000127667 260__ $$aNew York, NY$$c2015
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000127667 520__ $$aVolumetric modulated arc therapy (VMAT) has found widespread clinical application in recent years. A large number of treatment planning studies have evaluated the potential for VMAT for different disease sites based on the currently available commercial implementations of VMAT planning. In contrast, literature on the underlying mathematical optimization methods used in treatment planning is scarce. VMAT planning represents a challenging large scale optimization problem. In contrast to fluence map optimization in intensity-modulated radiotherapy planning for static beams, VMAT planning represents a nonconvex optimization problem. In this paper, the authors review the state-of-the-art in VMAT planning from an algorithmic perspective. Different approaches to VMAT optimization, including arc sequencing methods, extensions of direct aperture optimization, and direct optimization of leaf trajectories are reviewed. Their advantages and limitations are outlined and recommendations for improvements are discussed.
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000127667 7001_ $$aBortfeld, Thomas$$b1
000127667 7001_ $$aCraft, David$$b2
000127667 7001_ $$aAlber, Markus$$b3
000127667 7001_ $$0P:(DE-He78)fec480a99b1869ec73688e95c2f0a43b$$aBangert, Mark$$b4$$udkfz
000127667 7001_ $$aBokrantz, Rasmus$$b5
000127667 7001_ $$aChen, Danny$$b6
000127667 7001_ $$aLi, Ruijiang$$b7
000127667 7001_ $$aXing, Lei$$b8
000127667 7001_ $$aMen, Chunhua$$b9
000127667 7001_ $$aNill, Simeon$$b10
000127667 7001_ $$aPapp, Dávid$$b11
000127667 7001_ $$aRomeijn, Edwin$$b12
000127667 7001_ $$aSalari, Ehsan$$b13
000127667 773__ $$0PERI:(DE-600)1466421-5$$a10.1118/1.4908224$$gVol. 42, no. 3, p. 1367 - 1377$$n3$$p1367 - 1377$$tMedical physics$$v42$$x0094-2405$$y2015
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