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Acta Oncologica Volume 57, 2018 - Issue 11
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ORIGINAL ARTICLES: RADIATION THERAPY

Proton range shift analysis on brain pseudo-CT generated from T1 and T2 MR

Giampaolo PileggiDepartment of Experimental and Clinical Medicine, Magna Graecia University of Catanzaro, Catanzaro, Italy; ;Radiation Oncology Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Correspondence[email protected]
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Christoph SpeierRadiation Oncology Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; ;Radiation Oncology, Universitätsklinikum Erlangen Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany;
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Gregory C. SharpRadiation Oncology Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA;
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David Izquierdo GarciaDepartment of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA;
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Ciprian CatanaDepartment of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA;
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Jennifer PursleyRadiation Oncology Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA;
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Francesco AmatoDepartment of Experimental and Clinical Medicine, Magna Graecia University of Catanzaro, Catanzaro, Italy;
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Joao SecoBiomedical Physics in Radiation Oncology, DKFZ – Deutsches Krebsforschungszentrum, Heidelberg, Germany
&
Maria Francesca SpadeaDepartment of Experimental and Clinical Medicine, Magna Graecia University of Catanzaro, Catanzaro, Italy;
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Pages 1521-1531 | Received 22 Oct 2017, Accepted 06 May 2018, Published online: 29 May 2018

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Liheng Tian & Armin Lühr. (2023) Proton range uncertainty caused by synthetic computed tomography generated with deep learning from pelvic magnetic resonance imaging. Acta Oncologica 62:11, pages 1461-1469.
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Sebastian Neppl, Guillaume Landry, Christopher Kurz, David C. Hansen, Ben Hoyle, Sophia Stöcklein, Max Seidensticker, Jochen Weller, Claus Belka, Katia Parodi & Florian Kamp. (2019) Evaluation of proton and photon dose distributions recalculated on 2D and 3D Unet-generated pseudoCTs from T1-weighted MR head scans. Acta Oncologica 58:10, pages 1429-1434.
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Articles from other publishers (19)

Giovanni Parrella, Alessandro Vai, Anestis Nakas, Noemi Garau, Giorgia Meschini, Francesca Camagni, Silvia Molinelli, Amelia Barcellini, Andrea Pella, Mario Ciocca, Viviana Vitolo, Ester Orlandi, Chiara Paganelli & Guido Baroni. (2023) Synthetic CT in Carbon Ion Radiotherapy of the Abdominal Site. Bioengineering 10:2, pages 250.
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S Sreeja & D.Muhammad Noorul Mubarak. (2023) Pseudo Computed Tomography estimation from brain MRI using anatomic signature and joint dictionary learning. Procedia Computer Science 218, pages 1946-1957.
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Hatice Selcen Dumlu, Giorgia Meschini, Christopher Kurz, Florian Kamp, Guido Baroni, Claus Belka, Chiara Paganelli & Marco Riboldi. (2022) Dosimetric impact of geometric distortions in an MRI-only proton therapy workflow for lung, liver and pancreas. Zeitschrift für Medizinische Physik 32:1, pages 85-97.
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Niloofar Yousefi Moteghaed, Ahmad Mostaar & Payam Azadeh. (2021) Generating pseudo‐computerized tomography (P‐CT) scan images from magnetic resonance imaging (MRI) images using machine learning algorithms based on fuzzy theory for radiotherapy treatment planning. Medical Physics 48:11, pages 7016-7027.
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Maria Francesca Spadea, Matteo Maspero, Paolo Zaffino & Joao Seco. (2021) Deep learning based synthetic‐CT generation in radiotherapy and PET: A review. Medical Physics 48:11, pages 6537-6566.
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Adrian Thummerer, Bas A de Jong, Paolo Zaffino, Arturs Meijers, Gabriel Guterres Marmitt, Joao Seco, Roel J H M Steenbakkers, Johannes A Langendijk, Stefan Both, Maria F Spadea & Antje C Knopf. (2020) Comparison of the suitability of CBCT- and MR-based synthetic CTs for daily adaptive proton therapy in head and neck patients. Physics in Medicine & Biology 65:23, pages 235036.
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Aswin Hoffmann, Bradley Oborn, Maryam Moteabbed, Susu Yan, Thomas Bortfeld, Antje Knopf, Herman Fuchs, Dietmar Georg, Joao Seco, Maria Francesca Spadea, Oliver Jäkel, Christopher Kurz & Katia Parodi. (2020) MR-guided proton therapy: a review and a preview. Radiation Oncology 15:1.
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J. Thariat, J. Hérault, A. Beddok, L. Feuvret, D. Dauvergne, M. Gérard, J. Balosso, G. Noël & S. Valable. (2020) Imaging issues specific to hadrontherapy (proton, carbon, helium therapy and other charged particles) for radiotherapy planning, setup, dose monitoring and tissue response assessment. Cancer/Radiothérapie 24:5, pages 429-436.
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Paolo Zaffino, Sara Moccia, Elena De Momi & Maria Francesca Spadea. (2020) A Review on Advances in Intra-operative Imaging for Surgery and Therapy: Imagining the Operating Room of the Future. Annals of Biomedical Engineering 48:8, pages 2171-2191.
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Samuel C. Leu, Zhibin Huang & Ziwei Lin. (2020) Generation of Pseudo-CT using High-Degree Polynomial Regression on Dual-Contrast Pelvic MRI Data. Scientific Reports 10:1.
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Adrian Thummerer, Paolo Zaffino, Arturs Meijers, Gabriel Guterres Marmitt, Joao Seco, Roel J H M Steenbakkers, Johannes A Langendijk, Stefan Both, Maria F Spadea & Antje C Knopf. (2020) Comparison of CBCT based synthetic CT methods suitable for proton dose calculations in adaptive proton therapy. Physics in Medicine & Biology 65:9, pages 095002.
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Francesca Albertini, Michael Matter, Lena Nenoff, Ye Zhang & Antony Lomax. (2020) Online daily adaptive proton therapy. The British Journal of Radiology 93:1107, pages 20190594.
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Nicolas Depauw, Jani Keyriläinen, Sami Suilamo, Lizette Warner, Karl Bzdusek, Christine Olsen & Hanne Kooy. (2020) MRI-based IMPT planning for prostate cancer. Radiotherapy and Oncology 144, pages 79-85.
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Moiz Khan Sherwani, Paolo Zaffino, Pierangela Bruno, Maria Francesca Spadea & Francesco Calimeri. 2020. Machine Learning, Optimization, and Data Science. Machine Learning, Optimization, and Data Science 563 573 .
Lucas N Burigo & Bradley M Oborn. (2019) MRI-guided proton therapy planning: accounting for an inline MRI fringe field. Physics in Medicine & Biology 64:21, pages 215015.
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Maria Francesca Spadea, Giampaolo Pileggi, Paolo Zaffino, Patrick Salome, Ciprian Catana, David Izquierdo-Garcia, Francesco Amato & Joao Seco. (2019) Deep Convolution Neural Network (DCNN) Multiplane Approach to Synthetic CT Generation From MR images—Application in Brain Proton Therapy. International Journal of Radiation Oncology*Biology*Physics 105:3, pages 495-503.
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Yingzi Liu, Yang Lei, Yinan Wang, Ghazal Shafai-Erfani, Tonghe Wang, Sibo Tian, Pretesh Patel, Ashesh B Jani, Mark McDonald, Walter J Curran, Tian Liu, Jun Zhou & Xiaofeng Yang. (2019) Evaluation of a deep learning-based pelvic synthetic CT generation technique for MRI-based prostate proton treatment planning. Physics in Medicine & Biology 64:20, pages 205022.
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Ghazal Shafai-Erfani, Yang Lei, Yingzi Liu, Yinan Wang, Tonghe Wang, Jim Zhong, Tian Liu, Mark McDonald, Walter J. Curran, Jun Zhou, Hui-Kuo Shu & Xiaofeng Yang. (2019) MRI-Based Proton Treatment Planning for Base of Skull Tumors. International Journal of Particle Therapy 6:2, pages 12-25.
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Yingzi Liu, Yang Lei, Yinan Wang, Tonghe Wang, Lei Ren, Liyong Lin, Mark McDonald, Walter J Curran, Tian Liu, Jun Zhou & Xiaofeng Yang. (2019) MRI-based treatment planning for proton radiotherapy: dosimetric validation of a deep learning-based liver synthetic CT generation method. Physics in Medicine & Biology 64:14, pages 145015.
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