Jeffrey V Siebers

Summary

Affiliation: Virginia Commonwealth University
Country: USA

Publications

  1. ncbi An energy transfer method for 4D Monte Carlo dose calculation
    Jeffrey V Siebers
    Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia 23298 0058, USA
    Med Phys 35:4096-105. 2008
  2. ncbi Performance of a hybrid MC dose algorithm for IMRT optimization dose evaluation
    Jeffrey V Siebers
    Department of Radiation Oncology and Massey Cancer Center, Virginia Commonwealth University, 401 College Street, Richmond, Virginia 23298, USA
    Med Phys 34:2853-63. 2007
  3. ncbi Effect of patient setup errors on simultaneously integrated boost head and neck IMRT treatment plans
    Jeffrey V Siebers
    Department of Radiation Oncology, Virginia Commonwealth University Medical Center, 501 College Street, Richmond, VA 23298, USA
    Int J Radiat Oncol Biol Phys 63:422-33. 2005
  4. ncbi Monte Carlo computation of dosimetric amorphous silicon electronic portal images
    Jeffrey V Siebers
    Department of Radiation Oncology, Virginia Commonwealth University Medical Center, Virginia Commonwealth University Richmond, Virginia 23298, USA
    Med Phys 31:2135-46. 2004
  5. ncbi A method for photon beam Monte Carlo multileaf collimator particle transport
    Jeffrey V Siebers
    Department of Radiation Oncology, Medical College of Virginia Hospitals, Virginia Commonwealth University, Richmond, USA
    Phys Med Biol 47:3225-49. 2002
  6. ncbi Incorporating multi-leaf collimator leaf sequencing into iterative IMRT optimization
    Jeffrey V Siebers
    Department of Radiation Oncology, Medical College of Virginia Hospitals, Virginia Commonwealth University, Richmond, USA
    Med Phys 29:952-9. 2002
  7. ncbi Reducing dose calculation time for accurate iterative IMRT planning
    Jeffrey V Siebers
    Department of Radiation Oncology, Medical College of Virginia Hospitals, Virginia Commonwealth University, Richmond 23298, USA
    Med Phys 29:231-7. 2002
  8. ncbi Comparison of EGS4 and MCNP4b Monte Carlo codes for generation of photon phase space distributions for a Varian 2100C
    J V Siebers
    Department of Radiation Oncology, Medical College of Virginia Hospitals, Virginia Commonwealth University, Richmond, USA
    Phys Med Biol 44:3009-26. 1999
  9. ncbi Converting absorbed dose to medium to absorbed dose to water for Monte Carlo based photon beam dose calculations
    J V Siebers
    Department of Radiation Oncology, Medical College of Virginia Hospitals, Virginia Commonwealth University, Richmond, USA
    Phys Med Biol 45:983-95. 2000
  10. ncbi Photon-beam subsource sensitivity to the initial electron-beam parameters
    Michael K Fix
    Department of Radiation Oncology, Virginia Commonwealth University, PO Box 980058, Richmond, Virginia 23298, USA
    Med Phys 32:1164-75. 2005

Detail Information

Publications67

  1. ncbi An energy transfer method for 4D Monte Carlo dose calculation
    Jeffrey V Siebers
    Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia 23298 0058, USA
    Med Phys 35:4096-105. 2008
    ..The DIM error observed persists even if voxel subdivision is used. The ETM is computationally efficient and will be useful for 4D dose addition and benchmarking alternative 4D dose addition algorithms...
  2. ncbi Performance of a hybrid MC dose algorithm for IMRT optimization dose evaluation
    Jeffrey V Siebers
    Department of Radiation Oncology and Massey Cancer Center, Virginia Commonwealth University, 401 College Street, Richmond, Virginia 23298, USA
    Med Phys 34:2853-63. 2007
    ..06 Gy for the head and neck plans. The maximum observed DPE or OCE is 0.7 Gy after 1 MC dose correction, indicating that a single MC dose calculation correction might be sufficient for IMRT optimization...
  3. ncbi Effect of patient setup errors on simultaneously integrated boost head and neck IMRT treatment plans
    Jeffrey V Siebers
    Department of Radiation Oncology, Virginia Commonwealth University Medical Center, 501 College Street, Richmond, VA 23298, USA
    Int J Radiat Oncol Biol Phys 63:422-33. 2005
    ....
  4. ncbi Monte Carlo computation of dosimetric amorphous silicon electronic portal images
    Jeffrey V Siebers
    Department of Radiation Oncology, Virginia Commonwealth University Medical Center, Virginia Commonwealth University Richmond, Virginia 23298, USA
    Med Phys 31:2135-46. 2004
    ..This study demonstrates that MC can be an effective tool for predicting measured a-Si portal images and may be useful for IMRT EPID-based dosimetry...
  5. ncbi A method for photon beam Monte Carlo multileaf collimator particle transport
    Jeffrey V Siebers
    Department of Radiation Oncology, Medical College of Virginia Hospitals, Virginia Commonwealth University, Richmond, USA
    Phys Med Biol 47:3225-49. 2002
    ....
  6. ncbi Incorporating multi-leaf collimator leaf sequencing into iterative IMRT optimization
    Jeffrey V Siebers
    Department of Radiation Oncology, Medical College of Virginia Hospitals, Virginia Commonwealth University, Richmond, USA
    Med Phys 29:952-9. 2002
    ..The use of deliverable-based optimization may reduce the need for empirical adjustment of objective function parameters and reoptimization of a plan to achieve desired results...
  7. ncbi Reducing dose calculation time for accurate iterative IMRT planning
    Jeffrey V Siebers
    Department of Radiation Oncology, Medical College of Virginia Hospitals, Virginia Commonwealth University, Richmond 23298, USA
    Med Phys 29:231-7. 2002
    ....
  8. ncbi Comparison of EGS4 and MCNP4b Monte Carlo codes for generation of photon phase space distributions for a Varian 2100C
    J V Siebers
    Department of Radiation Oncology, Medical College of Virginia Hospitals, Virginia Commonwealth University, Richmond, USA
    Phys Med Biol 44:3009-26. 1999
    ..EGS4 and MCNP4b are equally suitable for the generation of PSDs for Monte Carlo based dose computations...
  9. ncbi Converting absorbed dose to medium to absorbed dose to water for Monte Carlo based photon beam dose calculations
    J V Siebers
    Department of Radiation Oncology, Medical College of Virginia Hospitals, Virginia Commonwealth University, Richmond, USA
    Phys Med Biol 45:983-95. 2000
    ..Pre-computed energy spectra for 60Co to 24 MV are used to compute the dose ratios for these photon beams and to determine an effective energy for evaluation of the dose ratio...
  10. ncbi Photon-beam subsource sensitivity to the initial electron-beam parameters
    Michael K Fix
    Department of Radiation Oncology, Virginia Commonwealth University, PO Box 980058, Richmond, Virginia 23298, USA
    Med Phys 32:1164-75. 2005
    ....
  11. ncbi Using fluence separation to account for energy spectra dependence in computing dosimetric a-Si EPID images for IMRT fields
    Weidong Li
    Department of Radiation Oncology, Medical College of Virginia Hospitals, Virginia Commonwealth University, Richmond, Virginia 23298, USA
    Med Phys 33:4468-80. 2006
    ....
  12. ncbi Quantification of the impact of MLC modeling and tissue heterogeneities on dynamic IMRT dose calculations
    I B Mihaylov
    Department of Radiation Oncology, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, USA
    Med Phys 34:1244-52. 2007
    ....
  13. ncbi Image reconstruction and the effect on dose calculation for hip prostheses
    Paul J Keall
    Department of Radiation Oncology, Medical College of Virginia, Richmond, VA 23298, USA
    Med Dosim 28:113-7. 2003
    ....
  14. ncbi Monte Carlo source model for photon beam radiotherapy: photon source characteristics
    Michael K Fix
    Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia 23298, USA
    Med Phys 31:3106-21. 2004
    ....
  15. ncbi Assessment of dose reconstruction errors in image-guided radiation therapy
    Hualiang Zhong
    Virginia Commonwealth University, Richmond, VA 23298, USA
    Phys Med Biol 53:719-36. 2008
    ..It allows an automatic validation method to be developed to estimate the dose accumulation error at each voxel in clinical settings...
  16. ncbi Determining the incident electron fluence for Monte Carlo-based photon treatment planning using a standard measured data set
    Paul J Keall
    Department of Radiation Oncology, Virginia Commonwealth University, PO Box 980058, Richmond, Virginia 23298, USA
    Med Phys 30:574-82. 2003
    ..These files are used for clinical Monte Carlo-based treatment planning and are freely available from the authors...
  17. ncbi Comparison of two methods to compute the absorbed dose to water for photon beams
    Joseph K Gardner
    Department of Radiation Oncology, Virginia Commonwealth University Medical Center, Richmond, VA, USA
    Phys Med Biol 52:N439-47. 2007
    ..16% of the maximum dose. All differences were clinically insignificant...
  18. ncbi Coverage optimized planning: probabilistic treatment planning based on dose coverage histogram criteria
    J J Gordon
    Department of Radiation Oncology, Virginia Commonwealth University, P O Box 980058, Richmond, Virginia 23298, USA
    Med Phys 37:550-63. 2010
    ..Further research is necessary to determine the benefits of COP planning, in terms of tumor control probability and/or normal tissue complication probabilities...
  19. ncbi Investigation of the optimal backscatter for an aSi electronic portal imaging device
    Lung Ko
    Department of Radiation Oncology, Medical College of Virginia Hospitals, Virginia Commonwealth University, Richmond, VA 23298, USA
    Phys Med Biol 49:1723-38. 2004
    ..Overall, it is determined that adding approximately 5 mm of Pb between the detector and the mechanical support structure will substantially reduce the nonuniformity in the backscattered signals for 6 MV and 18 MV photon beams...
  20. ncbi Monte Carlo-based adaptive EPID dose kernel accounting for different field size responses of imagers
    Song Wang
    Department of Radiation Oncology, Medical College of Virginia Hospitals, Virginia Commonwealth University, Richmond, Virginia 23298, USA
    Med Phys 36:3582-95. 2009
    ..The proposed adaptive EPID dose kernel method provides the necessary infrastructure to build reliable and accurate portal dosimetry systems...
  21. ncbi Comparisons of treatment optimization directly incorporating random patient setup uncertainty with a margin-based approach
    Joseph A Moore
    Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia 23298, USA
    Med Phys 36:3880-90. 2009
    ..PTP results in more conformal plans than margin-based plans and shows similar sensitivity to variations in uncertainty...
  22. ncbi A deliverable four-dimensional intensity-modulated radiation therapy-planning method for dynamic multileaf collimator tumor tracking delivery
    Yelin Suh
    Department of Radiation Oncology, Virginia Commonwealth University, Richmond, VA, USA
    Int J Radiat Oncol Biol Phys 71:1526-36. 2008
    ..To develop a deliverable four-dimensional (4D) intensity-modulated radiation therapy (IMRT) planning method for dynamic multileaf collimator (MLC) tumor tracking delivery...
  23. ncbi Quantifying the effect of intrafraction motion during breast IMRT planning and dose delivery
    R George
    Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, Virginia 23298, USA
    Med Phys 30:552-62. 2003
    ..This motion can be limited by breath-hold, respiratory gated, or 4D techniques...
  24. ncbi Radiotherapy dose calculations in the presence of hip prostheses
    Paul J Keall
    Department of Radiation Oncology, Medical College of Virginia, Richmond, VA 23298, USA
    Med Dosim 28:107-12. 2003
    ..Treatment plans calculated with either the pencil beam method or with no heterogeneity correction differed significantly from the Monte Carlo plans...
  25. ncbi Four-dimensional radiotherapy planning for DMLC-based respiratory motion tracking
    Paul J Keall
    Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia 23298, USA
    Med Phys 32:942-51. 2005
    ..However, 4D planning requires new planning tools, such as deformable registration and automated treatment planning on multiple CT image sets...
  26. ncbi Convolution method and CTV-to-PTV margins for finite fractions and small systematic errors
    J J Gordon
    Department of Radiation Oncology, Virginia Commonwealth University, PO Box 980058, Richmond, VA 23298, USA
    Phys Med Biol 52:1967-90. 2007
    ..With the alternative margin algorithm, the maximum underestimate is 7%. These results suggest that the VHMF should be used with caution for hypofractionated treatment and in adaptive therapy...
  27. ncbi FEM-based evaluation of deformable image registration for radiation therapy
    Hualiang Zhong
    Department of Radiation Oncology, Virginia Commonwealth University, Richmond, VA 23298, USA
    Phys Med Biol 52:4721-38. 2007
    ..This method is automatic, and at voxel level suitable to evaluate deformable registration in a clinical setting...
  28. ncbi An analysis of 6-MV versus 18-MV photon energy plans for intensity-modulated radiation therapy (IMRT) of lung cancer
    Elisabeth Weiss
    Department of Radiation Oncology, Virginia Commonwealth University, Richmond, VA 23298, USA
    Radiother Oncol 82:55-62. 2007
    ..To analyse the supposed benefits of low over high photon energies for the radiotherapy of lung cancer...
  29. ncbi A distance to dose difference tool for estimating the required spatial accuracy of a displacement vector field
    Nahla K Saleh-Sayah
    Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia 23298, USA
    Med Phys 38:2318-23. 2011
    ..To introduce a tool, termed distance to dose difference (DTD), which estimates the required spatial accuracy of displacement vector fields (DVFs) used for mapping four dimensional dose values...
  30. ncbi A computational method for estimating the dosimetric effect of intra-fraction motion on step-and-shoot IMRT and compensator plans
    Ben J Waghorn
    Department of Radiation Oncology, M D Anderson Cancer Center Orlando, 1400 South Orange Avenue, Orlando, FL 32806, USA
    Phys Med Biol 55:4187-202. 2010
    ..With knowledge of the organ's motion it can also be used as a tool to assess the impact of measured intra-fraction motion after dose delivery...
  31. ncbi Evaluation of clinical margins via simulation of patient setup errors in prostate IMRT treatment plans
    J J Gordon
    Department of Radiation Oncology, Virginia Commonwealth University, PO Box 980058, Richmond, Virginia 23298, USA
    Med Phys 34:202-14. 2007
    ..However, approximating DPPs is acceptable, provided care is taken with structures such as the nodal CTV which lie close to the surface...
  32. ncbi Comparisons of treatment optimization directly incorporating systematic patient setup uncertainty with a margin-based approach
    Joseph A Moore
    Department of Radiation Oncology, Virginia Commonwealth University, Richmond, VA 23298, USA
    Med Phys 39:1102-11. 2012
    ....
  33. ncbi Monte Carlo dose verification of prostate patients treated with simultaneous integrated boost intensity modulated radiation therapy
    Nesrin Dogan
    Radiation Oncology Department, Virginia Commonwealth University Medical Center, Richmond, Virginia 23298, USA
    Radiat Oncol 4:18. 2009
    ....
  34. ncbi Verification of the optimal backscatter for an aSi electronic portal imaging device
    Joseph A Moore
    Department of Radiation Oncology, Medical College of Virginia Hospitals, Virginia Commonwealth University, Richmond, VA, USA
    Phys Med Biol 50:2341-50. 2005
    ..5% for 6 MV and <0.6% for 18 MV beams. Addition of the 5 mm of Pb increased the detector contrast by 3.5% +/- 0.5% at 6 MV and 5.0% +/- 0.7% at 18 MV, and increased the resolution by 0.9% +/- 0.2% at 6 MV and 0.5% +/- 0.12% at 18 MV...
  35. ncbi Monte Carlo dose mapping on deforming anatomy
    Hualiang Zhong
    Department of Radiation Oncology, Virginia Commonwealth University, Richmond, VA 23298, USA
    Phys Med Biol 54:5815-30. 2009
    ..As a 4D Monte Carlo dose calculation technique, EMCM is accurate and its speed is comparable to 3D Monte Carlo simulation. This method may serve as a valuable tool for accurate dose accumulation as well as for 4D dosimetry QA...
  36. ncbi Comparison of sources of exit fluence variation for IMRT
    Joseph K Gardner
    Department of Radiation Oncology, Virginia Commonwealth University Medical Center, Richmond, VA, USA
    Phys Med Biol 54:N451-8. 2009
    ..5%. Since daily changes in patient anatomy can result in substantial exit fluence deviations, care should be taken when applying fluence back-projection to ensure that such deviations are properly attributed to their source...
  37. ncbi Monte Carlo-based dosimetry of head-and-neck patients treated with SIB-IMRT
    Nirmal Sakthi
    Department of Radiation Oncology, Virginia Commonwealth University, Richmond, VA 23298, USA
    Int J Radiat Oncol Biol Phys 64:968-77. 2006
    ..The fluence modulation prediction is likely the major source of the dose discrepancy. The observed dose deviations can impact dose escalation protocols, because they would result in shifting patients to higher dose levels...
  38. ncbi Investigation of patient, tumour and treatment variables affecting residual motion for respiratory-gated radiotherapy
    R George
    Department of Radiation Oncology, Virginia Commonwealth University, Richmond, VA, USA
    Phys Med Biol 51:5305-19. 2006
    ....
  39. ncbi A strategy to correct for intrafraction target translation in conformal prostate radiotherapy: simulation results
    P J Keall
    Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia 23298, USA
    Med Phys 34:1944-51. 2007
    ..The compensation strategy could be performed automatically with appropriate enhancements to available delivery software...
  40. ncbi The dosimetric effect of intrafraction prostate motion on step-and-shoot intensity-modulated radiation therapy plans: magnitude, correlation with motion parameters, and comparison with helical tomotherapy plans
    Katja M Langen
    Department of Radiation Oncology, MD Anderson Cancer Center Orlando, Orlando, Florida, USA
    Int J Radiat Oncol Biol Phys 84:1220-5. 2012
    ....
  41. ncbi A method to estimate the effect of deformable image registration uncertainties on daily dose mapping
    Martin J Murphy
    Department of Radiation Oncology, Virginia Commonwealth University, Richmond, VA 23298, USA
    Med Phys 39:573-80. 2012
    ..To develop a statistical sampling procedure for spatially-correlated uncertainties in deformable image registration and then use it to demonstrate their effect on daily dose mapping...
  42. ncbi Estimation of three-dimensional intrinsic dosimetric uncertainties resulting from using deformable image registration for dose mapping
    Francisco J Salguero
    Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia, 23298, USA
    Med Phys 38:343-53. 2011
    ..This article presents a general procedural framework to assess the point-by-point precision in mapped dose associated with the intrinsic uncertainty of a deformable image registration (DIR) for any arbitrary patient...
  43. ncbi Evaluation of dosimetric margins in prostate IMRT treatment plans
    J J Gordon
    Department of Radiation Oncology, Virginia Commonwealth University, PO Box 980058, Richmond, VA 23298, USA
    Med Phys 35:569-75. 2008
    ..The DMD is a useful planning metric, which generalizes the ICRU conformity index. DMDs could vary with number of beams, beam arrangements, TPS, and treatment site...
  44. ncbi A comparison of HDR brachytherapy and IMRT techniques for dose escalation in prostate cancer: a radiobiological modeling study
    M Fatyga
    Department of Radiation Oncology, Virginia Commonwealth University Medical Center, 401 College Street, Richmond, Virginia 23298, USA
    Med Phys 36:3995-4006. 2009
    ..A saturation BED, beyond which no further injury can occur, must be assumed. Modeling of organ motion uncertainties yields mean outcomes similar to static plan outcomes...
  45. ncbi A dynamic compensation strategy to correct patient-positioning errors in conformal prostate radiotherapy
    A D Lauve
    Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia 23298-0058, USA
    Med Phys 33:1879-87. 2006
    ..Further, the ability of dynamic compensation to correct large positioning errors has implications for the accuracy necessary during the initial patient setup and, hence, patient throughput for prostate radiotherapy...
  46. ncbi Sensitivity of postplanning target and OAR coverage estimates to dosimetric margin distribution sampling parameters
    Huijun Xu
    Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia 23298, USA
    Med Phys 38:1018-27. 2011
    ..The goal of the present work is to evaluate coverage probabilities for 28 prostate treatment plans to determine DMD sampling parameters that ensure adequate accuracy for postplanning coverage estimates...
  47. ncbi A method for determining multileaf collimator transmission and scatter for dynamic intensity modulated radiotherapy
    M R Arnfield
    Department of Radiation Oncology, Medical College of Virginia at Virginia Commonwealth University and McGuire VA Hospital, Richmond 23298, USA
    Med Phys 27:2231-41. 2000
    ..Thus, it is important to measure the transmission of any particular MLC. Calculated doses for a series of uniform fields produced by dynamic sweeping windows of various widths agree with measurements within 2%...
  48. ncbi Monte Carlo as a four-dimensional radiotherapy treatment-planning tool to account for respiratory motion
    P J Keall
    Department of Radiation Oncology, Virginia Commonwealth University, Richmond, VA 23298 0058, USA
    Phys Med Biol 49:3639-48. 2004
    ....
  49. ncbi Monte Carlo dose calculations for dynamic IMRT treatments
    P J Keall
    Department of Radiation Oncology, Medical College of Virginia Hospitals at Virginia Commonwealth University, Richmond, USA
    Phys Med Biol 46:929-41. 2001
    ..For a patient IMRT field, the Monte Carlo calculations are closer to measured dose than similar superposition or pencil beam calculations...
  50. ncbi The effect of dose calculation uncertainty on the evaluation of radiotherapy plans
    P J Keall
    Department of Radiation Oncology, Medical College of Virginia Hospitals, Virginia Commonwealth University, Richmond 23298, USA
    Med Phys 27:478-84. 2000
    ..A statistical uncertainty of 2% or less does not significantly affect isodose lines, DVHs, or biological indices...
  51. ncbi Acceleration of dose calculations for intensity-modulated radiotherapy
    J V Siebers
    VA Commonwealth University, P O Box 980058, 401 College Street, Richmond, Virginia 23298 0058
    Med Phys 28:903-10. 2001
    ..Substantial overall timesavings were observed, allowing IMRT dose planning to become a more interactive activity...
  52. ncbi A Monte Carlo study of radiation transport through multileaf collimators
    J O Kim
    Department of Radiation Oncology, Medical College of Virginia Hospitals, Virginia Commonwealth University, Richmond 23298 0058, USA
    Med Phys 28:2497-506. 2001
    ..Both phantom scatter and the finite source size contribute to the leaf tip profile observed in phantom. The results of this paper can be applied to fluence-to-trajectory and trajectory-to-fluence calculations for IMRT...
  53. ncbi On the use of EPID-based implanted marker tracking for 4D radiotherapy
    P J Keall
    Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia 23298, USA
    Med Phys 31:3492-9. 2004
    ....
  54. ncbi Analytic IMRT dose calculations utilizing Monte Carlo to predict MLC fluence modulation
    I B Mihaylov
    Department of Radiation Oncology, Virginia Commonwealth University, PO Box 980058, Richmond, Virginia 23298, USA
    Med Phys 33:828-39. 2006
    ..These results quantify the enhancement in accuracy in IMRT dose calculations when MC is used to model the MLC field modulation...
  55. ncbi Clinical comparison of head and neck and prostate IMRT plans using absorbed dose to medium and absorbed dose to water
    N Dogan
    Radiation Oncology Department, Virginia Commonwealth University Medical Center, 401 College Street, Richmond, 23298, USA
    Phys Med Biol 51:4967-80. 2006
    ..8% for H&N and 8.0% for prostate cases when the hard-bone-containing structures such as femoral heads are present. Ignoring differences between D(m) and D(w) will result in systematic dose errors ranging from 0% to 8%...
  56. ncbi Determination of maximum leaf velocity and acceleration of a dynamic multileaf collimator: implications for 4D radiotherapy
    K Wijesooriya
    Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia 23298, USA
    Med Phys 32:932-41. 2005
    ..Given the present MLC mechanical characteristics, 4D radiotherapy is feasible for up to 97% of respiratory motion. For the largest respiratory motion velocities observed, beam delivery should be temporarily stopped (beam hold)...
  57. ncbi A method to improve accuracy and precision of water surface identification for photon depth dose measurements
    J D Ververs
    Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia 23298, USA
    Med Phys 36:1410-20. 2009
    ..Application of the measurement method standardizes the procedure for localizing cylindrical ICs at a water surface and thereby improves the reliability of measurements taken with these devices at all depths...
  58. ncbi Evaluation of dose prediction errors and optimization convergence errors of deliverable-based head-and-neck IMRT plans computed with a superposition/convolution dose algorithm
    I B Mihaylov
    Department of Radiation Oncology, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, USA
    Med Phys 35:3722-7. 2008
    ..71, and there was no correlation for the organs at risk. Because full MC-based optimization results in lower normal tissue doses, this method proves advantageous for HN IMRT optimization...
  59. ncbi Coverage-based treatment planning: optimizing the IMRT PTV to meet a CTV coverage criterion
    J J Gordon
    Department of Radiation Oncology, Virginia Commonwealth University, P O Box 980058, Richmond, Virginia 23298, USA
    Med Phys 36:961-73. 2009
    ....
  60. ncbi A pseudoinverse deformation vector field generator and its applications
    C Yan
    Department of Radiation Oncology, Virginia Commonwealth University, P O Box 980058, Richmond, Virginia 23298, USA
    Med Phys 37:1117-28. 2010
    ..To present, implement, and test a self-consistent pseudoinverse displacement vector field (PIDVF) generator, which preserves the location of information mapped back-and-forth between image sets...
  61. ncbi Dose deformation-invariance in adaptive prostate radiation therapy: implication for treatment simulations
    Manju Sharma
    Virginia Commonwealth University, Richmond, VA 23298, United States
    Radiother Oncol 105:207-13. 2012
    ..To investigate dose deformation-invariance in adaptive prostate radiation treatment...
  62. ncbi Monte Carlo-based treatment planning for a spoiler system with experimental validation using plane-parallel ionization chambers
    Sei-Kwon Kang
    Department of Radiation Oncology, Hallym University Sacred Heart Hospital, Anyang, Korea
    Phys Med Biol 49:5145-55. 2004
    ..5% with a maximum difference of 7.3% for a field size of 10 x 10 cm2 at an STSD of 6 cm. The MC treatment-planning system was successfully applied to a head-and-neck case using 6 MV photon beams with a beam spoiler...
  63. ncbi Development and commissioning of a multileaf collimator model in monte carlo dose calculations for intensity-modulated radiation therapy
    Si Young Jang
    Department of Radiation Physics, The University of Texas M D Anderson Cancer Center, 1515 Holcombe Blvd, Houston, Texas 77030, USA
    Med Phys 33:770-81. 2006
    ....
  64. ncbi Dosimetric verification for intensity-modulated radiotherapy of thoracic cancers using experimental and Monte Carlo approaches
    Si Young Jang
    Department of Radiation Physics, University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA
    Int J Radiat Oncol Biol Phys 66:939-48. 2006
    ..CONCLUSION: The Pinnacle and Corvus dose calculations were acceptable for thoracic IMRT in high-dose regions. Beam modeling is likely the most critical factor for the accuracy of IMRT dose calculations...
  65. ncbi Variations in energy spectra and water-to-material stopping-power ratios in three-dimensional conformal and intensity-modulated photon fields
    Si Young Jang
    Department of Radiation Physics, The University of Texas M D Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, Texas 77030, USA
    Med Phys 34:1388-97. 2007
    ..Thus, spatial variations of the photon- and electron-energy spectra should be considered as important factors in 3D-CRT and IMRT dosimetry...
  66. ncbi The effect of dose calculation accuracy on inverse treatment planning
    Robert Jeraj
    Jozef Stefan Institute, Ljubljana, Slovenia
    Phys Med Biol 47:391-407. 2002
    ..Our results suggest that because of the large systematic and convergence errors, inverse treatment planning systems based on pencil beam algorithms alone should be upgraded either to superposition or Monte Carlo based dose calculations...
  67. ncbi Report of the AAPM Task Group No. 105: Issues associated with clinical implementation of Monte Carlo-based photon and electron external beam treatment planning
    Indrin J Chetty
    University of Michigan, Ann Arbor, Michigan 48109, USA
    Med Phys 34:4818-53. 2007
    ....