Ultra-fast treatment plan optimization for volumetric modulated arc therapy (VMAT)

Abstract

Purpose: To develop a novel aperture-based algorithm for volumetric modulated arc therapy (VMAT) treatment plan optimization with high quality and high efficiency. Methods: The VMAT optimization problem is formulated as a large-scale convex programming problem solved by a column generation approach. We consider a cost function consisting two terms, the first which enforces a desired dose distribution while the second guarantees a smooth dose rate variation between successive gantry angles. At each iteration of the column generation method, a subproblem is first solved to generate one more deliverable MLC aperture which potentially decreases the cost function most effectively. A subsequent master problem is then solved to determine the dose rate at all currently generated apertures by minimizing the cost function. The iteration of such an algorithm yields a set of deliverable apertures, as well as dose rates, at all gantry angles. Results: The algorithm was preliminarily tested on five prostate and five head-and-neck clinical cases, each with one full gantry rotation and without any couch/collimator rotations. Compared to corresponding co-planar IMRT treatment plans (9 fields for prostate cases and 5 fields for head-and-neck cases), the VMAT plans delivered much lower doses to critical structures and more conformal doses to targets. Moreover, extremely high efficiency has been achieved in our algorithm. It takes only 5~8 minutes on CPU (MATLAB code on an Intel Xeon 2.27 GHz CPU) and 18~31 seconds on GPU (CUDA code on an NVIDIA Tesla C1060 GPU card) to generate such a plan. Conclusions: We have developed an aperture-based VMAT optimization algorithm which can generate clinically deliverable and high quality treatment plans at very high efficiency.

References in corpus (6)

• Implementation and evaluation of various demons deformable image registration algorithms on GPU
• Real-time volumetric image reconstruction and 3D tumor localization based on a single x-ray projection image for lung cancer radiotherapy
• GPU-based ultra fast IMRT plan optimization
• GPU-based ultra fast dose calculation using a finite pencil beam model
• GPU-based ultra-fast direct aperture optimization for online adaptive radiation therapy
• The number of beams in IMRT - theoretical investigations and implications for single-arc IMRT

Cited by in corpus (10)

• GPU-based fast Monte Carlo simulation for radiotherapy dose calculation
• A GPU Tool for Efficient, Accurate, and Realistic Simulation of Cone Beam CT Projections
• Superiorization: An optimization heuristic for medical physics
• Fast Monte Carlo Simulation for Patient-specific CT/CBCT Imaging Dose Calculation
• GPU-based fast gamma index calcuation
• A GPU-based finite-size pencil beam algorithm with 3D-density correction for radiotherapy dose calculation
• Multi-GPU implementation of a VMAT treatment plan optimization algorithm
• Robust Direct Aperture Optimization for Radiation Therapy Treatment Planning
• Conditional Gradient Methods for Convex Optimization with General Affine and Nonlinear Constraints
• Averaging VMAT treatment plans for multi-criteria navigation