Beam modeling and verification of a photon beam multisource model.
暂无分享,去创建一个
Erik Traneus | Anders Ahnesjö | A. Ahnesjö | M. Saxner | L. Weber | Mikael Saxner | Ingvar Thorslund | Lars Weber | Anders Murman | E. Traneus | I. Thorslund | A. Murman
[1] Validation of intensity modulation on a commercial treatment planning system. , 2003, Medical physics.
[2] I. Rosen,et al. Beam‐commissioning methodology for a three‐dimensional convolution/superposition photon dose algorithm , 2000, Journal of applied clinical medical physics.
[3] Aart A. van ‘t Veld. Analysis of accuracy in dose and position in calculations of a treatment planning system for blocked photon fields , 1997 .
[4] F. Gum,et al. Verification of IMRT: Techniques and Problems , 2004, Strahlentherapie und Onkologie.
[5] Elinore Wieslander,et al. Dose perturbation in the presence of metallic implants: treatment planning system versus Monte Carlo simulations. , 2003, Physics in medicine and biology.
[6] A Fogliata,et al. Dosimetric features of linac head and phantom scattered radiation outside the clinical photon beam: experimental measurements and comparison with treatment planning system calculations. , 2001, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[7] J. Rødal,et al. Measurement of dynamic wedge angles and beam profiles by means of MRI ferrous sulphate gel dosimetry , 1996, Physics in medicine and biology.
[8] B. Fallone,et al. Dosimetric verification of inverse planned step and shoot multileaf collimator fields from a commercial treatment planning system , 2002, Journal of applied clinical medical physics.
[9] J J Battista,et al. Generation of photon energy deposition kernels using the EGS Monte Carlo code. , 1988, Physics in medicine and biology.
[10] N Papanikolaou,et al. Investigation of the convolution method for polyenergetic spectra. , 1993, Medical physics.
[11] T. Knöös,et al. The dosimetric verification of a pencil beam based treatment planning system. , 1994, Physics in medicine and biology.
[12] Per Nilsson,et al. Verification of dose calculations with a clinical treatment planning system based on a point kernel dose engine , 2002, Journal of applied clinical medical physics.
[13] A Nisbet,et al. The clinical implications of the collapsed cone planning algorithm. , 2004, Clinical oncology (Royal College of Radiologists (Great Britain)).
[14] L. Weber,et al. Dosimetric verification of modulated photon fields by means of compensators for a kernel model. , 2002, Radiotherapy and Oncology.
[15] R Roberts,et al. How accurate is a CT-based dose calculation on a pencil beam TPS for a patient with a metallic prosthesis? , 2001, Physics in medicine and biology.
[16] R. Sloboda,et al. Linear accelerator photon beam quality at off-axis points. , 1997, Medical physics.
[17] J. Lydon,et al. Photon dose calculations in homogeneous media for a treatment planning system using a collapsed cone superposition convolution algorithm. , 1998, Physics in medicine and biology.
[18] T R Mackie,et al. Correcting kernel tilting and hardening in convolution/superposition dose calculations for clinical divergent and polychromatic photon beams. , 1997, Medical physics.
[19] Otto Sauer,et al. Influence of Calculation Algorithm on Dose Distribution in Irradiation of Non-Small Cell Lung Cancer (NSCLC) , 2004, Strahlentherapie und Onkologie.
[20] J. Dempsey,et al. Evaluation of the gamma dose distribution comparison method. , 2003, Medical physics.
[21] A. Trepp,et al. Acquisition of the effective lateral energy fluence distribution for photon beam dose calculations by convolution models , 1991 .
[22] H Palmans,et al. Underdosage of the upper-airway mucosa for small fields as used in intensity-modulated radiation therapy: a comparison between radiochromic film measurements, Monte Carlo simulations, and collapsed cone convolution calculations. , 2002, Medical physics.
[23] P. Carrasco,et al. Comparison of dose calculation algorithms in phantoms with lung equivalent heterogeneities under conditions of lateral electronic disequilibrium. , 2004, Medical physics.
[24] G. Starkschall,et al. American Association of Physicists in Medicine Radiation Therapy Committee Task Group 53: quality assurance for clinical radiotherapy treatment planning. , 1998, Medical physics.
[25] P Andreo,et al. Determination of effective bremsstrahlung spectra and electron contamination for photon dose calculations. , 1989, Physics in medicine and biology.
[26] G. Schaftenaar,et al. Molden: a pre- and post-processing program for molecular and electronic structures* , 2000, J. Comput. Aided Mol. Des..
[27] T. Mackie,et al. A dual source photon beam model used in convolution/superposition dose calculations for clinical megavoltage x-ray beams. , 1997, Medical physics.
[28] M. Karlsson. Implementation of Varian's EDW 5.2 on a Clinac 2300C/D for use with Helax TMS 3.1 dose planning system. , 1997, Medical dosimetry : official journal of the American Association of Medical Dosimetrists.
[29] H Hansson,et al. Verification of a pencil beam based treatment planning system: output factors for open photon beams shaped with MLC or blocks. , 1999, Physics in medicine and biology.
[30] T Knöös,et al. Dosimetric verification of open asymmetric photon fields calculated with a treatment planning system based on dose-to-energy-fluence concepts. , 1996, Physics in medicine and biology.
[31] G. A. Zakaria,et al. Dosisverteilungen asymmetrischer Felder: Vergleich des Bestrahlungsplanungssystems Helax-TMS mit dem selbstentwickelten 2D-Berechnungsprogramm ASYMM , 2002 .
[32] P. Hoban,et al. Photon beam convolution using polyenergetic energy deposition kernels. , 1994, Physics in medicine and biology.
[33] D Thwaites,et al. Quality assurance in radiotherapy , 1995 .
[34] P. Hoban. Accounting for the variation in collision kerma-to-terma ratio in polyenergetic photon beam convolution. , 1995, Medical physics.
[35] Eugene Wong,et al. Comparison of dose calculation algorithms with Monte Carlo methods for photon arcs. , 2003, Medical physics.
[36] D. G. Lewis,et al. Monte Carlo simulation and dosimetric verification of radiotherapy beam modifiers. , 2001, Physics in medicine and biology.
[37] A Ahnesjö,et al. Collimator scatter in photon therapy beams. , 1995, Medical physics.
[38] B. Bjärngard,et al. Attenuation in high-energy x-ray beams. , 1994, Medical physics.
[39] J. H. Hubbell,et al. Tables of X-Ray Mass Attenuation Coefficients and Mass Energy-Absorption Coefficients 1 keV to 20 MeV for Elements Z = 1 to 92 and 48 Additional Substances of Dosimetric Interest , 1995 .
[40] M Engelsman,et al. Impact of simple tissue inhomogeneity correction algorithms on conformal radiotherapy of lung tumours. , 2001, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[41] A. Brahme,et al. Calculation and application of point spread functions for treatment planning with high energy photon beams. , 1987, Acta oncologica.
[42] A. Ahnesjö,et al. A pencil beam model for photon dose calculation. , 1992, Medical physics.
[43] A. Kivisaari,et al. The clinical importance of magnetic resonance imaging versus computed tomography in malignant pleural mesothelioma. , 1998, Lung cancer.
[44] Andrew Morgan,et al. Dosimetric verification of a commercial collapsed cone algorithm in simulated clinical situations. , 2004, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[45] B Mijnheer,et al. Tolerances for the accuracy of photon beam dose calculations of treatment planning systems. , 2001, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[46] N. Richmond,et al. Optimal clinical implementation of the Siemens virtual wedge. , 2003, Medical dosimetry : official journal of the American Association of Medical Dosimetrists.
[47] T Knöös,et al. Verification and implementation of dynamic wedge calculations in a treatment planning system based on a dose-to-energy-fluence formalism. , 1996, Medical physics.
[48] P W Hoban,et al. Beam hardening of 10 MV radiotherapy x-rays: analysis using a convolution/superposition method. , 1990, Physics in medicine and biology.
[49] T Knöös,et al. Limitations of a pencil beam approach to photon dose calculations in the head and neck region. , 1995, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[50] A. Ahnesjö. Collapsed cone convolution of radiant energy for photon dose calculation in heterogeneous media. , 1989, Medical physics.
[51] W F Hanson,et al. A generic off-axis energy correction for linac photon beam dosimetry. , 1998, Medical physics.
[52] A Ahnesjö,et al. Modeling transmission and scatter for photon beam attenuators. , 1995, Medical physics.
[53] T. Mackie,et al. Calculating dose and output factors for wedged photon radiotherapy fields using a convolution/superposition method. , 1997, Medical physics.
[54] A. Ahnesjö,et al. Dose calculations for external photon beams in radiotherapy. , 1999, Physics in medicine and biology.
[55] A Ahnesjö,et al. Analytic modeling of photon scatter from flattening filters in photon therapy beams. , 1994, Medical physics.
[56] T Knöös,et al. Limitations of a pencil beam approach to photon dose calculations in lung tissue. , 1995, Physics in medicine and biology.
[57] M. Aspradakis,et al. Experimental verification of convolution/superposition photon dose calculations for radiotherapy treatment planning. , 2003, Physics in medicine and biology.
[58] P S Basran,et al. Evaluation of optimized compensators on a 3D planning system. , 1998, Medical physics.
[59] G D Lambert,et al. Validation of treatment planning system data: variation in the modelling of three 6 MV beams for extreme rectangular fields. , 2001, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.