Scatter/primary in mammography: Monte Carlo validation

Boone, John M.; Cooper, Virgil N.

doi:10.1118/1.1287052

Cited by 101 publications

(98 citation statements)

References 17 publications

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“…The previously validated SIERRA Monte Carlo code system [8][9][10][11] was modified to accommodate the measurement geometry required in this investigation. Figure 1 illustrates the simulated acquisition geometry utilized.…”

Section: Iia Monte Carlo Simulationsmentioning

confidence: 99%

“…Each cylinder that was evaluated extended infinitely in the z direction. Cylinders composed of water, polymethyl methacrylate ͑PMMA͒, and polyethylene, each with diameters of 10,15,20,25,30,35,40,45, and 50 cm, were studied. A divergent x-ray beam emanating from a point x-ray source was simulated, and the beam width ͑along z͒ at the isocenter was 0.01 mm.…”

Section: Iia Monte Carlo Simulationsmentioning

confidence: 99%

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Dose spread functions in computed tomography: A Monte Carlo study

Boone

2009

Medical Physics

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Purpose: Current CT dosimetry employing CTDI methodology has come under fire in recent years, partially in response to the increasing width of collimated x-ray fields in modern CT scanners. This study was conducted to provide a better understanding of the radiation dose distributions in CT. Methods: Monte Carlo simulations were used to evaluate radiation dose distributions along the z axis arising from CT imaging in cylindrical phantoms. Mathematical cylinders were simulated with compositions of water, polymethyl methacrylate ͑PMMA͒, and polyethylene. Cylinder diameters from 10 to 50 cm were studied. X-ray spectra typical of several CT manufacturers ͑80, 100, 120, and 140 kVp͒ were used. In addition to no bow tie filter, the head and body bow tie filters from modern General Electric and Siemens CT scanners were evaluated. Each cylinder was divided into three concentric regions of equal volume such that the energy deposited is proportional to dose for each region. Two additional dose assessment regions, central and edge locations 10 mm in diameter, were included for comparisons to CTDI 100 measurements. Dose spread functions ͑DSFs͒ were computed for a wide number of imaging parameters. Results: DSFs generally exhibit a biexponential falloff from the z = 0 position. For a very narrow primary beam input ͑ Ӷ 1 mm͒, DSFs demonstrated significant low amplitude long range scatter dose tails. For body imaging conditions ͑30 cm diameter in water͒, the DSF at the center showed ϳ160 mm at full width at tenth maximum ͑FWTM͒, while at the edge the FWTM was ϳ80 mm. Polyethylene phantoms exhibited wider DSFs than PMMA or water, as did higher tube voltages in any material. The FWTM were 80, 180, and 250 mm for 10, 30, and 50 cm phantom diameters, respectively, at the center in water at 120 kVp with a typical body bow tie filter. Scatter to primary dose ratios ͑SPRs͒ increased with phantom diameter from 4 at the center ͑1 cm diameter͒ for a 16 cm diameter cylinder to ϳ12.5 for a 32 cm diameter cylinder. The SPRs increased dramatically at the center of the phantom compared to the edge. For the three equal area regions, the edge to center SPRs for a 32 cm diameter phantom were ϳ1.8, 3.5, and 6.3, respectively. Conclusions: DSFs demonstrate low amplitude long ranging tails which reach considerable distances in cylindrical phantoms. The buildup that results from these long-ranged tails increases at the center of the field ͑at z =0͒ with increasing scan length. The DSF distributions lend a better understanding of the trends in CT dose deposition over a range of relevant imaging parameters. The DSFs as well as other related data are available to interested parties using EPAPS at

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Section: Iia Monte Carlo Simulationsmentioning

confidence: 99%

Section: Iia Monte Carlo Simulationsmentioning

confidence: 99%

Dose spread functions in computed tomography: A Monte Carlo study

Boone

2009

Medical Physics

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“…These sPSFs were reflected in order to obtain sPSFs for -60 degrees to 0 degrees incidence. We validated our sPSFs by comparing the data for zero degrees to data from Boone et al [23]. We also compared our non-zero degree incidence sPSFs to data from Sechopoulos et al [24] We found good agreement in both cases.…”

Section: Simulationmentioning

confidence: 69%

Optimization of Breast Tomosynthesis Imaging Systems for Computer-Aided Detection

Lau¹

2011

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. REPORT DATE (DD-MM-YYYY)2 The goal of this research is to develop methodology for optimizing acquisition parameters for digital tomosynthesis of the breast (DBT). Optimization is important to be able to study whether DBT can be used in place of screening mammography with better sensitivity and specificity. The research is composed of three parts: 1) to develop a computer model to simulate tomosynthesis, 2) to generate realistic breast and tumor models, and 3) to determine optimal acquisition parameters by using a genetic algorithm with CADe performance as an indicator of fitness. In this report, we summarize the research done for this project to date, focussing particularly on the development of an anthropomorphic software breast phantom and its validation. Lastly, we evaluate methods for measuring anatomic noise in projection imaging.Digital breast tomosynthesis, optimization, computer simulation, anatomic noise, anthropomorphic breast phantom 30

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“…The Monte Carlo technique has been widely applied to studies on the influence of breast in imaging examinations [18][19][20] and the calculation of doses resulting from computed Oliveira et al Influence of female breasts in scintigraphy tomographies 21 or radiotherapy 22 . Studies on the Monte Carlo technique have also been very valuable in the area of nuclear medicine 23 .…”

Section: Discussionmentioning

confidence: 99%

Influência das características mamárias na cintilografia miocárdica pelo método Monte Carlo

Oliveira

Meguerian²,

Mesquita³

2011

Arq. Bras. Cardiol.

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Background: By reducing the specificity associated with loss of information, the influence of attenuation of the breasts is very important in myocardial perfusion studies. However, although several studies have been conducted over the past years, little has been developed to determine accurately the influence of the characteristics of the breasts on the quality of myocardial scintigraphy, avoiding additional exposure to radiation.

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Scatter/primary in mammography: Monte Carlo validation

Cited by 101 publications

References 17 publications

Dose spread functions in computed tomography: A Monte Carlo study

Dose spread functions in computed tomography: A Monte Carlo study

Optimization of Breast Tomosynthesis Imaging Systems for Computer-Aided Detection

Influência das características mamárias na cintilografia miocárdica pelo método Monte Carlo

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