A Bayesian approach to solve proton stopping powers from noisy multi-energy CT data.

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Experimental validation of two dual-energy CT methods for proton therapy using heterogeneous tissue samples.Material Elemental Decomposition in Dual and Multi-energy CT via a Sparsity-Dictionary Approach for Proton Stopping Power Ratio Calculation.

P2860

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P2860

A Bayesian approach to solve proton stopping powers from noisy multi-energy CT data.

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A Bayesian approach to solve proton stopping powers from noisy multi-energy CT data.

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A Bayesian approach to solve proton stopping powers from noisy multi-energy CT data.

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A Bayesian approach to solve proton stopping powers from noisy multi-energy CT data.

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P1476

A Bayesian approach to solve proton stopping powers from noisy multi-energy CT data.

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P2093

Esther Bär

http://www.w3.org/2001/XMLSchema#string

Hugo Bouchard

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P2860

A linear, separable two-parameter model for dual energy CT imaging of proton stopping power computation.

Experimental verification of ion stopping power prediction from dual energy CT data in tissue surrogates.

On the influence of noise correlations in measurement data on basis image noise in dual-energylike x-ray imaging.

On two-parameter models of photon cross sections: application to dual-energy CT imaging.

Comprehensive analysis of proton range uncertainties related to patient stopping-power-ratio estimation using the stoichiometric calibration

Technical principles of dual source CT.

Range uncertainties in proton therapy and the role of Monte Carlo simulations.

Recent developments of dual-energy CT in oncology.

The potential of dual-energy CT to reduce proton beam range uncertainties.

Dual energy CT in radiotherapy: Current applications and future outlook.

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5293-5302

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P31

scholarly article

P356

10.1002/MP.12489

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P407

English

P433

http://www.w3.org/2001/XMLSchema#string

P478

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P50

Arthur Lalonde

P577

2017-07-28T00:00:00Z

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P698

28752662

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A Bayesian approach to solve proton stopping powers from noisy multi-energy CT data.

about

P2860

P2860

A Bayesian approach to solve proton stopping powers from noisy multi-energy CT data.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698