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Optimization of Leaf Sequence for Multileaf Collimator in Lumbar Vertebrae IMRT Using Multiple Algorithms

J Chow

J Jia1 , H Lin1 , J Chow2*, (1) Hefei University of Technology, Hefei, China, (2) Princess Margaret Cancer Centre, Toronto, ON


SU-I-GPD-T-314 (Sunday, July 30, 2017) 3:00 PM - 6:00 PM Room: Exhibit Hall

Purpose: To investigate the efficiency of three leaf-sequencing algorithms for multileaf collimator (MLC) in lumbar vertebrae step-and-shoot intensity modulated radiation therapy (IMRT).

Methods: IMRT plans for lumbar vertebrae were created using the ARTS treatment planning system. The fluence maps for all photon beams were determined by inverse planning optimization. Three different MLC leaf-sequencing algorithms based on Galvin et al., Luan et al. and Siochi et al. were used to calculate the final beam segments and their monitor units. For comparison purpose, the matrices of fluence maps were kept constant in different plans. The number of beam segments and total number of monitor units were calculated for the above three algorithms.

Results: Although the number of beam segment and total number of monitor unit calculated by the three algorithms varied with the lumbar vertebrae plans, it can be seen that algorithms of Luan et al. and Siochi et al. performed well with a lower number of beam segment. Algorithm of Galvin et al. had a larger total number of monitor units than Siochi et al.

Conclusion: Although performance of the leaf-sequencing algorithm varied with different IMRT plans having different fluence maps, a unique tool for optimizing the leaf-sequencing can be developed basing on the calculated number of beam segment and monitor unit.

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