Literature DB >> 12974580

A Monte Carlo-based method to estimate radiation dose from spiral CT: from phantom testing to patient-specific models.

G Jarry1, J J DeMarco, U Beifuss, C H Cagnon, M F McNitt-Gray.   

Abstract

The purpose of this work is to develop and test a method to estimate the relative and absolute absorbed radiation dose from axial and spiral CT scans using a Monte Carlo approach. Initial testing was done in phantoms and preliminary results were obtained from a standard mathematical anthropomorphic model (MIRD V) and voxelized patient data. To accomplish this we have modified a general purpose Monte Carlo transport code (MCNP4B) to simulate the CT x-ray source and movement, and then to calculate absorbed radiation dose in desired objects. The movement of the source in either axial or spiral modes was modelled explicitly while the CT system components were modelled using published information about x-ray spectra as well as information provided by the manufacturer. Simulations were performed for single axial scans using the head and body computed tomography dose index (CTDI) polymethylmethacrylate phantoms at both central and peripheral positions for all available beam energies and slice thicknesses. For comparison, corresponding physical measurements of CTDI in phantom were made with an ion chamber. To obtain absolute dose values, simulations and measurements were performed in air at the scanner isocentre for each beam energy. To extend the verification, the CT scanner model was applied to the MIRD V model and compared with published results using similar technical factors. After verification of the model, the generalized source was simulated and applied to voxelized models of patient anatomy. The simulated and measured absolute dose data in phantom agreed to within 2% for the head phantom and within 4% for the body phantom at 120 and 140 kVp; this extends to 8% for the head and 9% for the body phantom across all available beam energies and positions. For the head phantom, the simulated and measured absolute dose data agree to within 2% across all slice thicknesses at 120 kVp. Our results in the MIRD phantom agree within 11% of all the different organ dose values published by the UK's ImPACT group for a scan using an equivalent scanner, kVp, collimation, pitch and mAs. The CT source model was shown to calculate both a relative and absolute radiation dose distribution throughout the entire volume in a patient-specific matrix geometry. Results of initial testing are promising and application to patient models was shown to be feasible.

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Year:  2003        PMID: 12974580     DOI: 10.1088/0031-9155/48/16/306

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  42 in total

1.  Precision of dosimetry-related measurements obtained on current multidetector computed tomography scanners.

Authors:  Kelsey B Mathieu; Michael F McNitt-Gray; Di Zhang; Hyun J Kim; Dianna D Cody
Journal:  Med Phys       Date:  2010-08       Impact factor: 4.071

2.  Survey of computed tomography techniques and absorbed dose in Italian hospitals: a comparison between two methods to estimate the dose-length product and the effective dose and to verify fulfilment of the diagnostic reference levels.

Authors:  Daniela Origgi; Sabrina Vigorito; Gaetano Villa; Massimo Bellomi; Giampiero Tosi
Journal:  Eur Radiol       Date:  2005-02-12       Impact factor: 5.315

3.  Unknown internal carotid artery atherosclerotic stenoses detected with biphasic multidetector computed tomography for head and neck cancer.

Authors:  Nicola Flor; Francesco Sardanelli; Simone Soldi; Giuseppe Franceschelli; Caterina Missiroli; Fiora De Paoli; Gianpaolo Cornalba
Journal:  Eur Radiol       Date:  2005-12-01       Impact factor: 5.315

4.  Validation of a Monte Carlo tool for patient-specific dose simulations in multi-slice computed tomography.

Authors:  Paul Deak; Marcel van Straten; Paul C Shrimpton; Maria Zankl; Willi A Kalender
Journal:  Eur Radiol       Date:  2007-12-08       Impact factor: 5.315

5.  Variability of surface and center position radiation dose in MDCT: Monte Carlo simulations using CTDI and anthropomorphic phantoms.

Authors:  Di Zhang; Ali S Savandi; John J Demarco; Chris H Cagnon; Erin Angel; Adam C Turner; Dianna D Cody; Donna M Stevens; Andrew N Primak; Cynthia H McCollough; Michael F McNitt-Gray
Journal:  Med Phys       Date:  2009-03       Impact factor: 4.071

6.  Development and validation of a measurement-based source model for kilovoltage cone-beam CT Monte Carlo dosimetry simulations.

Authors:  Kyle McMillan; Michael McNitt-Gray; Dan Ruan
Journal:  Med Phys       Date:  2013-11       Impact factor: 4.071

7.  Estimating peak skin and eye lens dose from neuroperfusion examinations: use of Monte Carlo based simulations and comparisons to CTDIvol, AAPM Report No. 111, and ImPACT dosimetry tool values.

Authors:  Di Zhang; Chris H Cagnon; J Pablo Villablanca; Cynthia H McCollough; Dianna D Cody; Maria Zankl; John J Demarco; Michael F McNitt-Gray
Journal:  Med Phys       Date:  2013-09       Impact factor: 4.071

8.  A comparison of methods to estimate organ doses in CT when utilizing approximations to the tube current modulation function.

Authors:  Maryam Khatonabadi; Di Zhang; Kelsey Mathieu; Hyun J Kim; Peiyun Lu; Dianna Cody; John J Demarco; Chris H Cagnon; Michael F McNitt-Gray
Journal:  Med Phys       Date:  2012-08       Impact factor: 4.071

9.  A method to generate equivalent energy spectra and filtration models based on measurement for multidetector CT Monte Carlo dosimetry simulations.

Authors:  Adam C Turner; Di Zhang; Hyun J Kim; John J DeMarco; Chris H Cagnon; Erin Angel; Dianna D Cody; Donna M Stevens; Andrew N Primak; Cynthia H McCollough; Michael F McNitt-Gray
Journal:  Med Phys       Date:  2009-06       Impact factor: 4.071

10.  Implementing the complete beam hardening effect of the bowtie filter versus scaling beam intensities: effects on dosimetric applications in computed tomography.

Authors:  Xochitl Lopez-Rendon; Guozhi Zhang; Hilde Bosmans; Raymond Oyen; Federica Zanca
Journal:  J Med Imaging (Bellingham)       Date:  2014-12-30
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