The radiation exposure resulting from medical imaging has become a public safety concern. Dose reduction for pediatric patients is particularly important since such patients are at increased risk owing to the enhanced radiosensitivity of their tissues and the longer time-period over which stochastic radiation effects may manifest. The objective of this proposal is to develop and validate techniques that can be used to minimize the radiation exposure to pediatric patients undergoing molecular imaging procedures without adversely impacting the diagnostic quality of the images. The hypothesis of this proposal is that it is possible to reduce the absorbed dose received by pediatric molecular imaging patients without compromising the image quality of the study by: (1) individualizing the amount of administered activity and the image acquisition time to better account for the effects that patient-specific body size and shape may have on the detector count-rate density;(2) adjusting acquisition parameters to account for the smaller field of view in pediatric imaging;(3) improving image reconstruction methods to enable image generation from these lower-count, smaller field-of-view images. In current clinical practice, dosing for pediatric molecular imaging has focused on rule-of-thumb approaches to identifying the activity administered to children for different imaging procedures. By using state-of-the-art simulation, image quality evaluation and radiation dosimetry tools, the work proposed in this grant application will examine dose reduction methods in a much more rigorous and, scientifically validated manner. This approach will lead to clinically implementable dose reduction techniques for pediatric (and potentially adult) molecular imaging on par with national efforts to reduce doses in pediatric and adult CT and fluoroscopically guided interventions without adversely impacting the diagnostic quality of the images.

Public Health Relevance

The radiation exposure resulting from medical imaging has become a public safety concern. The objective of this proposal is to develop and validate techniques that can be used to reduce the radiation exposure to pediatric patients undergoing molecular imaging procedures using methods that retain the diagnostic quality of the images.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB013558-03
Application #
8628116
Study Section
Medical Imaging Study Section (MEDI)
Program Officer
Sastre, Antonio
Project Start
2012-03-01
Project End
2016-02-29
Budget Start
2014-03-01
Budget End
2015-02-28
Support Year
3
Fiscal Year
2014
Total Cost
$472,741
Indirect Cost
$121,780
Name
Johns Hopkins University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21218
Li, Ye; O'Reilly, Shannon; Plyku, Donika et al. (2018) A projection image database to investigate factors affecting image quality in weight-based dosing: application to pediatric renal SPECT. Phys Med Biol 63:145004
Wayson, Michael B; Leggett, Richard W; Jokisch, Derek W et al. (2018) Suggested reference values for regional blood volumes in children and adolescents. Phys Med Biol 63:155022
Stepusin, Elliott J; Long, Daniel J; Ficarrotta, Kayla R et al. (2017) Physical validation of a Monte Carlo-based, phantom-derived approach to computed tomography organ dosimetry under tube current modulation. Med Phys 44:5423-5432
Li, Xin; Jha, Abhinav K; Ghaly, Michael et al. (2017) Use of Sub-Ensembles and Multi-Template Observers to Evaluate Detection Task Performance for Data That are Not Multivariate Normal. IEEE Trans Med Imaging 36:917-929
Stepusin, Elliott J; Long, Daniel J; Marshall, Emily L et al. (2017) Assessment of different patient-to-phantom matching criteria applied in Monte Carlo-based computed tomography dosimetry. Med Phys 44:5498-5508
Elshahaby, Fatma E A; Jha, Abhinav K; Ghaly, Michael et al. (2017) A comparison of resampling schemes for estimating model observer performance with small ensembles. Phys Med Biol 62:7300-7320
Fisher, Darrell R; Fahey, Frederic H (2017) Appropriate Use of Effective Dose in Radiation Protection and Risk Assessment. Health Phys 113:102-109
Fahey, Frederic H; Goodkind, Alison B; Plyku, Donika et al. (2017) Dose Estimation in Pediatric Nuclear Medicine. Semin Nucl Med 47:118-125
Elshahaby, Fatma E A; Ghaly, Michael; Jha, Abhinav K et al. (2016) Factors affecting the normality of channel outputs of channelized model observers: an investigation using realistic myocardial perfusion SPECT images. J Med Imaging (Bellingham) 3:015503
Khamwan, Kitiwat; Plyku, Donika; O'Reilly, Shannon E et al. (2016) Pharmacokinetic modeling of [(18)F]fluorodeoxyglucose (FDG) for premature infants, and newborns through 5-year-olds. EJNMMI Res 6:28

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