Literature DB >> 27487874

An online replanning method using warm start optimization and aperture morphing for flattening-filter-free beams.

Ergun E Ahunbay1, O Ates1, X A Li1.   

Abstract

PURPOSE: In a situation where a couch shift for patient positioning is not preferred or prohibited (e.g., MR-linac), segment aperture morphing (SAM) can address target dislocation and deformation. For IMRT/VMAT with flattening-filter-free (FFF) beams, however, SAM method would lead to an adverse translational dose effect due to the beam unflattening. Here the authors propose a new two-step process to address both the translational effect of FFF beams and the target deformation.
METHODS: The replanning method consists of an offline and an online step. The offline step is to create a series of preshifted-plans (PSPs) obtained by a so-called "warm start" optimization (starting optimization from the original plan, rather than from scratch) at a series of isocenter shifts. The PSPs all have the same number of segments with very similar shapes, since the warm start optimization only adjusts the MLC positions instead of regenerating them. In the online step, a new plan is obtained by picking the closest PSP or linearly interpolating the MLC positions and the monitor units of the closest PSPs for the shift determined from the image of the day. This two-step process is completely automated and almost instantaneous (no optimization or dose calculation needed). The previously developed SAM algorithm is then applied for daily deformation. The authors tested the method on sample prostate and pancreas cases.
RESULTS: The two-step interpolation method can account for the adverse dose effects from FFF beams, while SAM corrects for the target deformation. Plan interpolation method is effective in diminishing the unflat beam effect and may allow reducing the required number of PSPs. The whole process takes the same time as the previously reported SAM process (5-10 min).
CONCLUSIONS: The new two-step method plus SAM can address both the translation effects of FFF beams and target deformation, and can be executed in full automation except the delineation of target contour required by the SAM process.

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Year:  2016        PMID: 27487874     DOI: 10.1118/1.4955439

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  4 in total

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Authors:  Eun Young Han; Manik Aima; Neil Hughes; Tina M Briere; Debra N Yeboa; Pam Castillo; Jihong Wang; Jinzhong Yang; Sastry Vedam
Journal:  J Radiosurg SBRT       Date:  2020

Review 2.  Magnetic resonance image guidance in external beam radiation therapy planning and delivery.

Authors:  Ilamurugu Arivarasan; Chandrasekaran Anuradha; Shanmuga Subramanian; Ayyalusamy Anantharaman; Velayudham Ramasubramanian
Journal:  Jpn J Radiol       Date:  2017-06-13       Impact factor: 2.374

3.  4D-MRI driven MR-guided online adaptive radiotherapy for abdominal stereotactic body radiation therapy on a high field MR-Linac: Implementation and initial clinical experience.

Authors:  Eric S Paulson; Ergun Ahunbay; Xinfeng Chen; Nikolai J Mickevicius; Guang-Pei Chen; Christopher Schultz; Beth Erickson; Michael Straza; William A Hall; X Allen Li
Journal:  Clin Transl Radiat Oncol       Date:  2020-05-15

4.  A Fast Online Replanning Algorithm Based on Intensity Field Projection for Adaptive Radiotherapy.

Authors:  Xiaomeng Liu; Yueqiang Liang; Jian Zhu; Gang Yu; Yanyan Yu; Qiang Cao; X Allen Li; Baosheng Li
Journal:  Front Oncol       Date:  2020-03-03       Impact factor: 6.244

  4 in total

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