2021
DOI: 10.1016/j.ejmp.2021.03.033
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An X-ray spectrum estimation method from transmission measurement combined with scatter correction

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Cited by 4 publications
(4 citation statements)
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“…We compared our scatter correction method with the following: (1) the post-processing method proposed by Meng et al 31 , which was based on image dehazing and later used by Kim et al 27 29 in radiography; (2) the method based on a beam stopper proposed by Cai et al 38 ; and (3) the deep learning method proposed by Maier et al 34 , deep scatter estimation (DSE). Below, we provide a summary of the simulation setting and the parameters used in the implementation of these methods.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…We compared our scatter correction method with the following: (1) the post-processing method proposed by Meng et al 31 , which was based on image dehazing and later used by Kim et al 27 29 in radiography; (2) the method based on a beam stopper proposed by Cai et al 38 ; and (3) the deep learning method proposed by Maier et al 34 , deep scatter estimation (DSE). Below, we provide a summary of the simulation setting and the parameters used in the implementation of these methods.…”
Section: Methodsmentioning
confidence: 99%
“…The main advantage of the method is that the correction is based directly on measurements of the scatter component over the entire field-of-view of the patient, making it a suitable option for nonstandard positions in portable radiography. We compare our method with three representative methods in the literature: (1) the beam stopper-based scatter correction method presented by Cai et al 38 , which shares hardware requirements with our proposal (evaluating only the part of their algorithm devoted to correct projections); (2) the software-based post-processing method proposed by Meng et al 31 and that has also been reported to provide a good scatter estimate in planar radiography 27 29 ; and (3) the deep learning scatter correction method proposed by Maier et al 34 . Comparison with other beam stopper methods can be found in the “Supplementary material”.…”
Section: Introductionmentioning
confidence: 99%
“…1 Knowing the energy spectrum of ionizing radiation inside an x-ray room is essential to optimize the design of radiation protection measures. [2][3][4][5][6][7][8][9][10] These measures must be taken for the protection of the patient 11,12 and the professionals inside the room [13][14][15][16][17][18][19][20][21][22] and the professionals and the public outside it. 23 In this work, Monte Carlo simulations are carried out to characterize the scattered radiation inside the x-ray room.…”
Section: Introductionmentioning
confidence: 99%
“…Knowing the energy spectrum of ionizing radiation inside an x‐ray room is essential to optimize the design of radiation protection measures 2–10 . These measures must be taken for the protection of the patient 11,12 and the professionals inside the room 13–22 and the professionals and the public outside it 23 …”
Section: Introductionmentioning
confidence: 99%