title: A moment-based approach for DVH-guided radiotherapy treatment plan optimization.
abstract: The dose-volume histogram (DVH) is a clinically relevant criterion to evaluate the quality of a treatment plan. It is hence desirable to incorporate DVH constraints into treatment plan optimization for intensity modulated radiation therapy. Yet, the direct inclusion of the DVH constraints into a treatment plan optimization model typically leads to great computational difficulties due to the non-convex nature of these constraints. To overcome this critical limitation, we propose a new convex-moment-based optimization approach. Our main idea is to replace the non-convex DVH constraints by a set of convex moment constraints. In turn, the proposed approach is able to generate a Pareto-optimal plan whose DVHs are close to, or if possible even outperform, the desired DVHs. In particular, our experiment on a prostate cancer patient case demonstrates the effectiveness of this approach by employing two and three moment formulations to approximate the desired DVHs.
authors: Center for Advanced Radiotherapy Technologies and Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA 92037, USA.
authors: M
authors: M
authors: Zarepisheh
authors: M
authors: M
authors: Shakourifar
authors: G
authors: G
authors: Trigila
authors: P S
authors: PS
authors: Ghomi
authors: S
authors: S
authors: Couzens
authors: A
authors: A
authors: Abebe
authors: L
authors: L
authors: Noreña
authors: W
authors: W
authors: Shang
authors: Steve B
authors: SB
authors: Jiang
authors: Y
authors: Y
authors: Zinchenko
mesh_terms: D011829:Radiation Dosage; D011879:Radiotherapy Dosage; D011880:Radiotherapy Planning, Computer-Assisted / Q000379:methods*