Fraction-variant beam orientation optimization for non-coplanar IMRT
Daniel O'Connor, Dan Nguyen, Dan Ruan, Victoria Yu, Ke Sheng

TL;DR
This paper introduces a group sparsity-based beam orientation optimization method for non-coplanar IMRT that creates fraction-variant treatment plans, improving dose sparing and efficiency over traditional fixed-angle plans.
Contribution
The authors develop a novel FV BOO formulation using group sparsity and the Fast Iterative Shrinkage-Thresholding Algorithm for non-coplanar IMRT, enabling fraction-specific beam selection.
Findings
Reduced OAR doses by an average of 3.3% to 3.7% of prescription dose.
Improved PTV dose homogeneity from 0.95 to 0.98 in prostate case.
Achieved similar dosimetry with fewer beams compared to conventional plans.
Abstract
Conventional beam orientation optimization (BOO) algorithms for IMRT assume that the same set of beam angles is used for all treatment fractions. In this paper we present a BOO formulation based on group sparsity that simultaneously optimizes non-coplanar beam angles for all fractions, yielding a fraction-variant (FV) treatment plan. Beam angles are selected by solving a multi-fraction FMO problem involving 500-700 candidate beams per fraction, with an additional group sparsity term that encourages most candidate beams to be inactive. The optimization problem is solved using the Fast Iterative Shrinkage-Thresholding Algorithm. Our FV BOO algorithm is used to create non-coplanar, five-fraction treatment plans for prostate and lung cases, as well as a non-coplanar 30-fraction plan for a head and neck case. A homogeneous PTV dose coverage is maintained in all fractions. The treatment plans…
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