Quantifying the reduction of respiratory motion by mechanical ventilation with MRI for radiotherapy

Autor: Z. van Kesteren, J. K. Veldman, M. J. Parkes, M. F. Stevens, P. Balasupramaniam, J. G. van den Aardweg, G. van Tienhoven, A. Bel, I. W. E. M. van Dijk

Publikováno v: Radiation Oncology, Vol 17, Iss 1, Pp 1-11 (2022)

Abstract Background Due to respiratory motion, accurate radiotherapy delivery to thoracic and abdominal tumors is challenging. We aimed to quantify the ability of mechanical ventilation to reduce respiratory motion, by measuring diaphragm motion magn

Externí odkaz: https://doaj.org/article/b2146373330b40eb959961c20923138d

Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy

Autor: Tanja Alderliesten, Marco Virgolin, L. Zadravec Zaletel, Petra S. Kroon, Jan Wiersma, D.C. Hodgson, Peter A. N. Bosman, C. R. N. Rasch, M. van Herk, I. W. E. M. van Dijk, Ziyuan Wang, Arjan Bel, Geert O. Janssens, Brian V. Balgobind

Publikováno v: Physics in Medicine and Biology, 65(24)
Physics in Medicine & Biology, 65(24). IOP PUBLISHING LTD
Virgolin, M, Wang, Z, Balgobind, B, Dijk, I V, Wiersma, J, Kroon, P S, Janssens, G O, Van Herk, M, Hodgson, D C, Zaletel, L Z, Rasch, C, Bel, A, Bosman, P A N & Alderliesten, T 2020, ' Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy ', Physics in Medicine and Biology . https://doi.org/10.1088/1361-6560/ab9fcc
Physics in medicine and biology, 65(24):245021. IOP Publishing Ltd.

To study radiotherapy-related adverse effects, detailed dose information (3D distribution) is needed for accurate dose-effect modeling. For childhood cancer survivors who underwent radiotherapy in the pre-CT era, only 2D radiographs were acquired, th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7cd49d3a284f9354e2e3d3f8c05d6be
https://doi.org/10.1088/1361-6560/ab9fcc