Search Results - "Möhler, Christian"
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Evaluation of Stopping-Power Prediction by Dual- and Single-Energy Computed Tomography in an Anthropomorphic Ground-Truth Phantom
Published in International journal of radiation oncology, biology, physics (01-01-2018)“…To determine the accuracy of particle range prediction for proton and heavier ion radiation therapy based on dual-energy computed tomography (DECT) in a…”
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Clinical implementation of dual-energy CT for proton treatment planning on pseudo-monoenergetic CT scans
Published in International journal of radiation oncology, biology, physics (01-02-2017)“…Abstract Purpose To determine whether a standardized clinical application of dual-energy CT (DECT) for proton treatment planning based on pseudo-monoenergetic…”
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Dual-energy CT based proton range prediction in head and pelvic tumor patients
Published in Radiotherapy and oncology (01-12-2017)“…To reduce range uncertainty in particle therapy, an accurate computation of stopping-power ratios (SPRs) based on computed tomography (CT) is crucial. Here, we…”
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Range prediction for tissue mixtures based on dual-energy CT
Published in Physics in medicine & biology (07-06-2016)“…The use of dual-energy CT (DECT) potentially decreases range uncertainties in proton and ion therapy treatment planning via determination of the involved…”
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Experimental verification of stopping-power prediction from single- and dual-energy computed tomography in biological tissues
Published in Physics in medicine & biology (09-01-2018)“…An experimental setup for consecutive measurement of ion and x-ray absorption in tissue or other materials is introduced. With this setup using a 3D-printed…”
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Technical Note: Radiological properties of tissue surrogates used in a multimodality deformable pelvic phantom for MR-guided radiotherapy
Published in Medical physics (Lancaster) (01-02-2016)“…Purpose: Phantom surrogates were developed to allow multimodal [computed tomography (CT), magnetic resonance imaging (MRI), and teletherapy] and…”
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A deep image-to-image network organ segmentation algorithm for radiation treatment planning: principles and evaluation
Published in Radiation oncology (London, England) (22-07-2022)“…Abstract Background We describe and evaluate a deep network algorithm which automatically contours organs at risk in the thorax and pelvis on computed…”
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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
Published in Physics and imaging in radiation oncology (01-01-2018)“…Dual-energy computed tomography enables the determination of relative electron density and effective atomic number. As this can increase accuracy in…”
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Methodological accuracy of image‐based electron density assessment using dual‐energy computed tomography
Published in Medical physics (Lancaster) (01-06-2017)“…Purpose Electron density is the most important tissue property influencing photon and ion dose distributions in radiotherapy patients. Dual‐energy computed…”
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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
Published in Radiotherapy and oncology (01-01-2022)“…•With DirectSPR, range uncertainties can be reduced below 2% of the particle range.•DirectSPR was for the first time introduced into routine clinical…”
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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
Published in International journal of radiation oncology, biology, physics (01-11-2019)“…Range prediction in particle therapy is associated with an uncertainty originating from calculating the stopping-power ratio (SPR) based on x-ray computed…”
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Refinement of the Hounsfield look‐up table by retrospective application of patient‐specific direct proton stopping‐power prediction from dual‐energy CT
Published in Medical physics (Lancaster) (01-04-2020)“…Background and Purpose Proton treatment planning relies on an accurate determination of stopping‐power ratio (SPR) from x‐ray computed tomography (CT). A…”
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Novel dosimetric validation of a commercial CT scanner based deep learning automated contour solution for prostate radiotherapy
Published in Physica medica (01-06-2024)“…•OAR delineation is a critical component in modern radiotherapy pathways.•A novel dosimetric methodology was used to evaluate AI contours for prostate OARs.•3…”
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A clinical and time savings evaluation of a deep learning automatic contouring algorithm
Published in Medical dosimetry : official journal of the American Association of Medical Dosimetrists (01-01-2023)“…Automatic contouring algorithms may streamline clinical workflows by reducing normal organ-at-risk (OAR) contouring time. Here we report the first…”
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[I206] Dual energy CT for improved range prediction in proton therapy: What can we gain?
Published in Physica medica (01-08-2018)“…For about a decade, dual-energy CT (DECT) has been clinically available, mainly for radiology applications. In contrast, in the field of radiotherapy DECT has…”
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Clinical Validation of Siemens’ Syngo.via Automatic Contouring System
Published in Advances in radiation oncology (01-05-2023)“…The manual delineation of organs at risk is a process that requires a great deal of time both for the technician and for the physician. Availability of…”
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