Dose–image quality study in digital chest radiography using Monte Carlo simulation

Correa, Samanda Cristine Arruda; Souza, Elizabeth Maria Feitosa da Rocha de; Silva, A.X.; Lopes, Ricardo Tadeu; Yoriyaz, Hélio

doi:10.1016/j.apradiso.2008.01.009

Cited by 12 publications

(10 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Compared to one of the few studies applying the Monte Carlo code to the IP response evaluation 9) or the theoretical review 10,11) (which pointed out that there is a peak at 30 keV in the response curve), the calculation in this research succeeded in obtaining a more detailed response curve.…”

Section: Ip Responsementioning

confidence: 99%

Energy Response of an Imaging Plate to Low-energy Photons for Use in Dosimetry

Suzuki

Abe²,

Iimoto

et al. 2011

Jpn. J. Health Phys.

View full text Add to dashboard Cite

The precise energy-dependent response curve of the imaging plate to low-energy photons was obtained by reciprocally combining a calculation and an experiment. The calculation was carried out using the Monte Carlo particle transportation code EGS5. The experiment was carried out using monochromatic photons at the photon factory in KEK. Initially, there was a discrepancy between the calculation and the experiment because of light attenuation in the phosphor layer in the read-out m -1 and decreasing the imaging plate (IP) response exponentially with depth from the phosphor surface, it was indicated that the calculation result basically follows the experimental result. By using the response curve obtained in this paper, radiation dose can be evaluated accurately in the dose estimation using IP.KEY WORDS: imaging plate, image plate, phosphorescence detector, EGS5, BaFBr, KEK, photon factory, energy response, computed radiography, low-energy photon. Original Paper I INTRODUCTIONAn imaging plate (IP) is a two-dimensional radiation detector that was rst introduced by the current FUJIFILM Corporation in 1981.1) IPs are mainly used for X-ray diagnosis in hospitals, autoradiography in biological research elds, and to obtain electron microscope images in various research. Since their appearance, there has been an underlying demand for their use as dosimeters because of their useful features such as high sensitivity, repetitive use availability, wide dynamic range to radiation dose, and high-speed read-out. Several studies have already been carried out that apply an IP as a dosimeter. 2, 3)One of the techniques that has been proposed and focused on is a method that combines an IP with multiple lters. In this method, several lters are used to change the response of the IP to photons of different energies. In order to estimate gamma and X-ray doses by this method, it is necessary to investigate the energy-dependent response of the IP to photons with suf cient accuracy beforehand. The energy response of the IP has already been reported by several researchers. 2,4) However, these evaluations mainly rely on experiments and are thus empirical. It is necessary to give general versatility to the response by adding theoretical evaluations.This research aims to obtain the energy response of the IP accurately by reciprocally combining a calculation and an experiment to realize accurate dose evaluation, focusing on responses to low-energy photons around 30 keV, because responses in this region vary widely according to previous research.2, 4) The IP response was initially evaluated by the calculation, and then by the experiment. In the last, these two were compared to verify the evaluation method of the calculation.

show abstract

Section: Ip Responsementioning

confidence: 99%

Energy Response of an Imaging Plate to Low-energy Photons for Use in Dosimetry

Suzuki

Abe²,

Iimoto

et al. 2011

Jpn. J. Health Phys.

View full text Add to dashboard Cite

show abstract

“…So far, only selected research has focused on the simulation of radiographic image detectors 10,11 and their use in image simulation studies. [12][13][14][15][16][17][18][19] A simulation tool for modeling image detectors that included the transport of x-ray photons, electrons, and optical photons inside the detector material was presented by Liaparinos et al 10 and Badano and Sempau. 11 While this approach provides valuable insight into the physical processes underlying the detection process, it requires a detailed knowledge of all the detector components and independent validation of detector resolution and noise characteristics.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, most models of x-ray image detectors simulate limited or no x-ray scatter, no electron transport, and no optical photon transport. [12][13][14][15][16][17][18][19] While these detector models are less complex, corrections based on the detector's characteristics ͑MTF and NPS͒ have to be made afterward. 20,21 In a study by Kyprianou et al, 12 radiographic images were simulated using a perfect energy integrating detector.…”

Section: Introductionmentioning

confidence: 99%

Simulation of image detectors in radiology for determination of scatter‐to‐primary ratios using Monte Carlo radiation transport codeMCNP/MCNPX

Smans¹,

Zoetelief

Verbrugge

et al. 2010

Medical Physics

View full text Add to dashboard Cite

For mammographic applications, both the perfect energy integrating detector model and the blur-free energy absorbing detector model can be used to simulate image detectors, whereas for conventional x-ray imaging using higher energies, the blur-free energy absorbing detector model is the most appropriate image detector model. The radiography tally overestimates the scattered part and should therefore not be used to simulate radiographic image detectors.

show abstract

“…There are a handful of studies that have used Monte Carlo techniques to simulate images; most of the work is done in breast x-ray imaging 7-10 and we are only aware of two studies in chest x-ray imaging. 11,12 Regarding the breast imaging studies, Peplow et al 7 simulated digital images of the GAMMEX/RMI 156 mammographic accreditation phantom for two different x-ray digital mammography modalities, whereas Sechopoulos et al 8 used simulated images to investigate the acquisition parameters of tomosynthesis. The latter two mammographic studies simulated phantoms with inhomogeneities of various compositions and sizes 9 and investigated the influence of the focal spot.…”

Section: Introductionmentioning

confidence: 99%

“…The latter two mammographic studies simulated phantoms with inhomogeneities of various compositions and sizes 9 and investigated the influence of the focal spot. 10 The studies in general radiography 11,12 simulated chest x-rays of an adult voxel model without taking detector properties into account. As far as we know, no comprehensive Monte Carlo based simulation study, including characteristics of the imaging system and the detector, has been published for general radiology applications.…”

Section: Introductionmentioning

confidence: 99%