Literature DB >> 32990373

Technical Note: Cumulative dose modeling for organ motion management in MRI-guided radiation therapy.

Seyed Ali Mirzapour1, Thomas R Mazur2, H Harold Li2, Ehsan Salari1, Gregory C Sharp3.   

Abstract

PURPOSE: To develop a method for continuous online dose accumulation during irradiation in MRI-guided radiation therapy (MRgRT) and to demonstrate its application in evaluating the impact of internal organ motion on cumulative dose.
METHODS: An intensity-modulated radiation therapy (IMRT) treatment plan is partitioned into its unique apertures. Dose for each planned aperture is calculated using Monte Carlo dose simulation on each phase of a four-dimensional computed tomography (4D-CT) dataset. Deformable image registration is then performed both (a) between each frame of a cine-MRI acquisition obtained during treatment and a reference frame, and (b) between each volume of the 4D-CT phases and a reference phase. These registrations are used to associate each cine image with a 4D-CT phase. Additionally, for each 4D-CT phase, the deformation vector field (DVF) is used to warp the pre-calculated dose volumes per aperture onto the reference CT dataset. To estimate the dose volume delivered during each frame of the cine-MRI acquisition, we retrieve the pre-calculated warped dose volume for the delivered aperture on the associated 4D-CT phase and adjust it by a rigid translation to account for baseline drift and instances where motion on the cine image exceeds the amplitude observed between 4D-CT phases.
RESULTS: The proposed dose accumulation method is retrospectively applied to a liver cancer case previously treated on an MRgRT platform. Cumulative dose estimated for free-breathing and respiration-gated delivery is compared against dose calculated on static anatomy. In this sample case, the target minimum dose and D 98 varied by as much as 5% and 7%, respectively.
CONCLUSION: We demonstrate a technique suitable for continuous online dose accumulation during MRgRT. In contrast to other approaches, dose is pre-calculated per aperture and phase and then retrieved based on a mapping scheme between cine MRI and 4D-CT datasets, aiming at reducing the computational burden for potential real-time applications.
© 2020 American Association of Physicists in Medicine.

Entities:  

Keywords:  MRI guidance; organ motion modeling; radiotherapy

Mesh:

Year:  2020        PMID: 32990373     DOI: 10.1002/mp.14500

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


  2 in total

1.  Time-resolved MRI for off-line treatment robustness evaluation in carbon-ion radiotherapy of pancreatic cancer.

Authors:  Giorgia Meschini; Alessandro Vai; Amelia Barcellini; Giulia Fontana; Silvia Molinelli; Edoardo Mastella; Andrea Pella; Viviana Vitolo; Sara Imparato; Ester Orlandi; Mario Ciocca; Guido Baroni; Chiara Paganelli
Journal:  Med Phys       Date:  2022-02-17       Impact factor: 4.506

2.  Delivery of online adaptive magnetic resonance guided radiotherapy based on isodose boundaries.

Authors:  Claudio Votta; Davide Cusumano; Luca Boldrini; Nicola Dinapoli; Lorenzo Placidi; Gabriele Turco; Marco Valerio Antonelli; Veronica Pollutri; Angela Romano; Luca Indovina; Vincenzo Valentini
Journal:  Phys Imaging Radiat Oncol       Date:  2021-06-07
  2 in total

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