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Analysis of uncertainties in Monte Carlo simulated organ and effective dose in chest CT: scanner- and scan-related factors.

Publication ,  Journal Article
Muryn, JS; Morgan, AG; Liptak, CL; Dong, FF; Segars, WP; Primak, AN; Li, X
Published in: Phys Med Biol
April 21, 2017

In Monte Carlo simulation of CT dose, many input parameters are required (e.g. bowtie filter properties and scan start/end location). Our goal was to examine the uncertainties in patient dose when input parameters were inaccurate. Using a validated Monte Carlo program, organ dose from a chest CT scan was simulated for an average-size female phantom using a reference set of input parameter values (treated as the truth). Additional simulations were performed in which errors were purposely introduced into the input parameter values. The effects on four dose quantities were analyzed: organ dose (mGy/mAs), effective dose (mSv/mAs), CTDIvol-normalized organ dose (unitless), and DLP-normalized effective dose (mSv/mGy · cm). At 120 kVp, when spectral half value layer deviated from its true value by  ±1.0 mm Al, the four dose quantities had errors of 18%, 7%, 14% and 2%, respectively. None of the dose quantities were affected significantly by errors in photon path length through the graphite section of the bowtie filter; path length error as large as 5 mm produced dose errors of  ⩽2%. In contrast, error of this magnitude in the aluminum section produced dose errors of  ⩽14%. At a total collimation of 38.4 mm, when radiation beam width deviated from its true value by  ±  3 mm, dose errors were  ⩽7%. Errors in tube starting angle had little impact on effective dose (errors  ⩽  1%); however, they produced organ dose errors as high as 66%. When the assumed scan length was longer by 4 cm than the truth, organ dose errors were up to 137%. The corresponding error was 24% for effective dose, but only 3% for DLP-normalized effective dose. Lastly, when the scan isocenter deviated from the patient's anatomical center by 5 cm, organ and effective dose errors were up 18% and 8%, respectively.

Duke Scholars

Published In

Phys Med Biol

DOI

EISSN

1361-6560

Publication Date

April 21, 2017

Volume

62

Issue

8

Start / End Page

3175 / 3203

Location

England

Related Subject Headings

  • Uncertainty
  • Tomography, X-Ray Computed
  • Radiography, Thoracic
  • Radiation Dosage
  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Monte Carlo Method
  • Humans
  • 1103 Clinical Sciences
  • 0903 Biomedical Engineering
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Muryn, J. S., Morgan, A. G., Liptak, C. L., Dong, F. F., Segars, W. P., Primak, A. N., & Li, X. (2017). Analysis of uncertainties in Monte Carlo simulated organ and effective dose in chest CT: scanner- and scan-related factors. Phys Med Biol, 62(8), 3175–3203. https://doi.org/10.1088/1361-6560/aa60d7
Muryn, John S., Ashraf G. Morgan, Chris L. Liptak, Frank F. Dong, W Paul Segars, Andrew N. Primak, and Xiang Li. “Analysis of uncertainties in Monte Carlo simulated organ and effective dose in chest CT: scanner- and scan-related factors.Phys Med Biol 62, no. 8 (April 21, 2017): 3175–3203. https://doi.org/10.1088/1361-6560/aa60d7.
Muryn JS, Morgan AG, Liptak CL, Dong FF, Segars WP, Primak AN, et al. Analysis of uncertainties in Monte Carlo simulated organ and effective dose in chest CT: scanner- and scan-related factors. Phys Med Biol. 2017 Apr 21;62(8):3175–203.
Muryn, John S., et al. “Analysis of uncertainties in Monte Carlo simulated organ and effective dose in chest CT: scanner- and scan-related factors.Phys Med Biol, vol. 62, no. 8, Apr. 2017, pp. 3175–203. Pubmed, doi:10.1088/1361-6560/aa60d7.
Muryn JS, Morgan AG, Liptak CL, Dong FF, Segars WP, Primak AN, Li X. Analysis of uncertainties in Monte Carlo simulated organ and effective dose in chest CT: scanner- and scan-related factors. Phys Med Biol. 2017 Apr 21;62(8):3175–3203.
Journal cover image

Published In

Phys Med Biol

DOI

EISSN

1361-6560

Publication Date

April 21, 2017

Volume

62

Issue

8

Start / End Page

3175 / 3203

Location

England

Related Subject Headings

  • Uncertainty
  • Tomography, X-Ray Computed
  • Radiography, Thoracic
  • Radiation Dosage
  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Monte Carlo Method
  • Humans
  • 1103 Clinical Sciences
  • 0903 Biomedical Engineering