Tissue decomposition from dual energy CT data for MC based dose calculation in particle therapy.
暂无分享,去创建一个
Joao Seco | Steffen Greilich | Oliver Jäkel | Harald Paganetti | Nora Hünemohr | J. Seco | H. Paganetti | O. Jäkel | S. Greilich | Nora Hünemohr
[1] H Paganetti,et al. Systematic analysis of biological and physical limitations of proton beam range verification with offline PET/CT scans , 2009, Physics in medicine and biology.
[2] O Jäkel,et al. Relation between carbon ion ranges and x-ray CT numbers. , 2001, Medical physics.
[3] Steffen Greilich,et al. Ion range estimation by using dual energy computed tomography. , 2013, Zeitschrift fur medizinische Physik.
[4] D. R. White,et al. Average soft-tissue and bone models for use in radiation dosimetry. , 1987, The British journal of radiology.
[5] R. Mohan,et al. Theoretical variance analysis of single- and dual-energy computed tomography methods for calculating proton stopping power ratios of biological tissues , 2010, Physics in medicine and biology.
[6] Rainer Raupach,et al. Erratum: First performance evaluation of a dual-source CT (DSCT) system (European Radiology (2006) vol. 16 (2) (256-268) 10.1007/ s00330-005-2919-2) , 2006 .
[7] Harald Paganetti,et al. Dose to water versus dose to medium in proton beam therapy , 2009, Physics in medicine and biology.
[8] Frank Verhaegen,et al. Assigning nonelastic nuclear interaction cross sections to Hounsfield units for Monte Carlo treatment planning of proton beams , 2005, Physics in medicine and biology.
[9] Pedro Andreo,et al. On the clinical spatial resolution achievable with protons and heavier charged particle radiotherapy beams , 2009, Physics in medicine and biology.
[10] J. Seco,et al. Deriving effective atomic numbers from DECT based on a parameterization of the ratio of high and low linear attenuation coefficients , 2013, Physics in medicine and biology.
[11] M. Saito. Potential of dual-energy subtraction for converting CT numbers to electron density based on a single linear relationship. , 2012, Medical physics.
[12] D. R. White,et al. The composition of body tissues. , 1986, The British journal of radiology.
[13] W. Greiner,et al. Comparative study of depth-dose distributions for beams of light and heavy nuclei in tissue-like media , 2007, 0704.2519.
[14] Steffen Greilich,et al. Experimental verification of ion stopping power prediction from dual energy CT data in tissue surrogates , 2014, Physics in medicine and biology.
[15] Frank Verhaegen,et al. Sensitivity of low energy brachytherapy Monte Carlo dose calculations to uncertainties in human tissue composition. , 2010, Medical physics.
[16] Radhe Mohan,et al. Comprehensive analysis of proton range uncertainties related to patient stopping-power-ratio estimation using the stoichiometric calibration , 2012, Physics in medicine and biology.
[17] J Weber,et al. The effective atomic number and the calculation of the composition of phantom materials. , 1969, The British journal of radiology.
[18] H Paganetti,et al. TOPAS: an innovative proton Monte Carlo platform for research and clinical applications. , 2012, Medical physics.
[19] J. Wildberger,et al. Deriving concentrations of oxygen and carbon in human tissues using single- and dual-energy CT for ion therapy applications , 2013, Physics in medicine and biology.
[20] Frank Verhaegen,et al. Simulation study on potential accuracy gains from dual energy CT tissue segmentation for low-energy brachytherapy Monte Carlo dose calculations , 2011, Physics in medicine and biology.
[21] E. Pedroni,et al. The calibration of CT Hounsfield units for radiotherapy treatment planning. , 1996, Physics in medicine and biology.
[22] F. Verhaegen,et al. Dual-energy CT-based material extraction for tissue segmentation in Monte Carlo dose calculations , 2008, Physics in medicine and biology.
[23] J. Williamson,et al. Report of the Task Group 186 on model-based dose calculation methods in brachytherapy beyond the TG-43 formalism: current status and recommendations for clinical implementation. , 2012, Medical physics.
[24] K. Stierstorfer,et al. First performance evaluation of a dual-source CT (DSCT) system , 2006, European Radiology.
[25] J F Ziegler,et al. Comments on ICRU report no. 49: stopping powers and ranges for protons and alpha particles. , 1999, Radiation research.
[26] H. Paganetti. Range uncertainties in proton therapy and the role of Monte Carlo simulations , 2012, Physics in medicine and biology.
[27] J. Wildberger,et al. Extracting atomic numbers and electron densities from a dual source dual energy CT scanner: experiments and a simulation model. , 2011, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[28] Harald Paganetti,et al. The impact of uncertainties in the CT conversion algorithm when predicting proton beam ranges in patients from dose and PET-activity distributions , 2010, Physics in medicine and biology.
[29] A Malusek,et al. The potential of dual-energy computed tomography for quantitative decomposition of soft tissues to water, protein and lipid in brachytherapy , 2013, Physics in medicine and biology.
[30] H Paganetti,et al. Adaptation of GEANT4 to Monte Carlo dose calculations based on CT data. , 2004, Medical physics.
[31] T. Bortfeld,et al. Correlation between CT numbers and tissue parameters needed for Monte Carlo simulations of clinical dose distributions. , 2000, Physics in medicine and biology.
[32] R. A. Rutherford,et al. Measurement of effective atomic number and electron density using an EMI scanner , 2004, Neuroradiology.