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Status and innovations in pre-treatment CT imaging for proton therapy

British journal of radiology, 2020-03, Vol.93 (1107), p.20190590-20190590

2020

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Evaluation of Stopping-Power Prediction by Dual- and Single-Energy Computed Tomography in an Anthropomorphic Ground-Truth Phantom

International journal of radiation oncology, biology, physics, 2018-01, Vol.100 (1), p.244-253

2018

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Clinical implementation of dual-energy CT for proton treatment planning on pseudo-monoenergetic CT scans

International journal of radiation oncology, biology, physics, 2017-02, Vol.97 (2), p.427-434

2017

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Dual-energy CT based proton range prediction in head and pelvic tumor patients

Radiotherapy and oncology, 2017-12, Vol.125 (3), p.526-533

2017

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Range prediction for tissue mixtures based on dual-energy CT

Physics in medicine & biology, 2016-06, Vol.61 (11), p.N268-N275

2016

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From computed tomography innovation to routine clinical application in radiation oncology – A joint initiative of close collaboration

Physics and imaging in radiation oncology, 2024-01, Vol.29, p.100550, Article 100550

2024

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Roadmap: proton therapy physics and biology

Physics in medicine & biology, 2021-02, Vol.66 (5), p.5

2021

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Experimental verification of stopping-power prediction from single- and dual-energy computed tomography in biological tissues

Physics in medicine & biology, 2018-01, Vol.63 (2), p.025001-025001

2018

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First-In-Human Validation of CT-Based Proton Range Prediction Using Prompt Gamma Imaging in Prostate Cancer Treatments

International journal of radiation oncology, biology, physics, 2021-11, Vol.111 (4), p.1033-1043

2021

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Clinical Feasibility of Single-Source Dual-spiral 4D Dual-Energy CT for Proton Treatment Planning Within the Thoracic Region

International journal of radiation oncology, biology, physics, 2018-11, Vol.102 (4), p.830-840

2018

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Sensitivity of a prompt-gamma slit-camera to detect range shifts for proton treatment verification

Radiotherapy and oncology, 2017-12, Vol.125 (3), p.534-540

2017

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Split-filter dual energy computed tomography radiotherapy: From calibration to image guidance

Physics and imaging in radiation oncology, 2023-10, Vol.28, p.100495-100495, Article 100495

2023

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Inter-centre variability of CT-based stopping-power prediction in particle therapy: Survey-based evaluation

Physics and imaging in radiation oncology, 2018-04, Vol.6, p.25-30

2018

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On the equivalence of image-based dual-energy CT methods for the determination of electron density and effective atomic number in radiotherapy

Physics and imaging in radiation oncology, 2018-01, Vol.5, p.108-110

2018

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Dual- and multi-energy CT for particle stopping-power estimation: current state, challenges and potential

Physics in medicine & biology, 2023-02, Vol.68 (4), p.4

2023

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In vivo assessment of tissue-specific radiological parameters with intra- and inter-patient variation using dual-energy computed tomography

Radiotherapy and oncology, 2022-10, Vol.175, p.34-41

2022

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2682: Automatically identifying patients at risk of 4DCT artifacts via their breathing signal

Radiotherapy and oncology, 2024-05, Vol.194, p.S3945-S3947

2024

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Impact of range uncertainty on clinical distributions of linear energy transfer and biological effectiveness in proton therapy

Medical physics (Lancaster), 2020-12, Vol.47 (12), p.6151-6162

2020

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Material assignment for proton range prediction in Monte Carlo patient simulations using stopping-power datasets

Physics in medicine & biology, 2020-09, Vol.65 (18), p.185004-185004

2020

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Reduction of clinical safety margins in proton therapy enabled by the clinical implementation of dual-energy CT for direct stopping-power prediction

Radiotherapy and oncology, 2022-01, Vol.166, p.71-78

2022

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Comment on: Dosimetric comparison of stopping‐power calibration with dual‐energy CT and single‐energy CT in proton therapy treatment planning [Med. Phys. 43(6), 2845‐2854 (2016)]

Medical physics (Lancaster), 2017-10, Vol.44 (10), p.5533-5536

2017

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Reply to “Comment on Methodological accuracy of image‐based electron density assessment using dual‐energy computed tomography” [Med. Phys. 44, 2429–2437 (2017)]

Medical physics (Lancaster), 2019-02, Vol.46 (2), p.1077-1078

2019

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Dual-Energy Computed Tomography to Assess Intra- and Inter-Patient Tissue Variability for Proton Treatment Planning of Patients With Brain Tumor

International journal of radiation oncology, biology, physics, 2019-11, Vol.105 (3), p.504-513

2019

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Reply to “Comment on Methodological accuracy of image‐based electron density assessment using dual‐energy computed tomography” [Med. Phys. 44, 2429‐2437 (2017)]

Medical physics (Lancaster), 2018-05, Vol.45 (5), p.2349-2350

2018

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Methodological accuracy of image‐based electron density assessment using dual‐energy computed tomography

Medical physics (Lancaster), 2017-06, Vol.44 (6), p.2429-2437

2017

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Status and innovations in pre-treatment CT imaging for proton therapy

Evaluation of Stopping-Power Prediction by Dual- and Single-Energy Computed Tomography in an Anthropomorphic Ground-Truth Phantom

Clinical implementation of dual-energy CT for proton treatment planning on pseudo-monoenergetic CT scans

Dual-energy CT based proton range prediction in head and pelvic tumor patients

Range prediction for tissue mixtures based on dual-energy CT

From computed tomography innovation to routine clinical application in radiation oncology – A joint initiative of close collaboration

Roadmap: proton therapy physics and biology

Experimental verification of stopping-power prediction from single- and dual-energy computed tomography in biological tissues

First-In-Human Validation of CT-Based Proton Range Prediction Using Prompt Gamma Imaging in Prostate Cancer Treatments

Clinical Feasibility of Single-Source Dual-spiral 4D Dual-Energy CT for Proton Treatment Planning Within the Thoracic Region

Sensitivity of a prompt-gamma slit-camera to detect range shifts for proton treatment verification

Split-filter dual energy computed tomography radiotherapy: From calibration to image guidance

Inter-centre variability of CT-based stopping-power prediction in particle therapy: Survey-based evaluation

On the equivalence of image-based dual-energy CT methods for the determination of electron density and effective atomic number in radiotherapy

Dual- and multi-energy CT for particle stopping-power estimation: current state, challenges and potential

In vivo assessment of tissue-specific radiological parameters with intra- and inter-patient variation using dual-energy computed tomography

2682: Automatically identifying patients at risk of 4DCT artifacts via their breathing signal

Impact of range uncertainty on clinical distributions of linear energy transfer and biological effectiveness in proton therapy

Material assignment for proton range prediction in Monte Carlo patient simulations using stopping-power datasets

Reduction of clinical safety margins in proton therapy enabled by the clinical implementation of dual-energy CT for direct stopping-power prediction

Comment on: Dosimetric comparison of stopping‐power calibration with dual‐energy CT and single‐energy CT in proton therapy treatment planning [Med. Phys. 43(6), 2845‐2854 (2016)]

Reply to “Comment on Methodological accuracy of image‐based electron density assessment using dual‐energy computed tomography” [Med. Phys. 44, 2429–2437 (2017)]

Dual-Energy Computed Tomography to Assess Intra- and Inter-Patient Tissue Variability for Proton Treatment Planning of Patients With Brain Tumor

Reply to “Comment on Methodological accuracy of image‐based electron density assessment using dual‐energy computed tomography” [Med. Phys. 44, 2429‐2437 (2017)]

Methodological accuracy of image‐based electron density assessment using dual‐energy computed tomography

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