Characterization of anti-scatter grids via a modulation transfer function improvement factor using an edge device.

anti-scatter grid modulation transfer function scattered radiation x-ray imaging

Journal

Biomedical physics & engineering express
ISSN: 2057-1976
Titre abrégé: Biomed Phys Eng Express
Pays: England
ID NLM: 101675002

Informations de publication

Date de publication:
05 05 2021
Historique:
received: 12 03 2021
accepted: 27 04 2021
pubmed: 28 4 2021
medline: 6 1 2022
entrez: 27 4 2021
Statut: epublish

Résumé

In optimizing the imaging conditions, changes in image quality due to scattered radiation are important evaluation targets. This study focuses on the evaluation of the image quality improvement characteristics obtained using anti-scatter grids in digital x-ray imaging, and proposes a frequency-dependent modulation transfer function (MTF) improvement factor,MIFG(u),as a new evaluation index. Accordingly, the purpose of this study is to clarify the validity and the usefulness of this proposed index in the performance evaluation of grids. The proposedMIFG(u)method is applied to evaluate several types of grids with different grid densities and ratios, and the characteristics of grids exhibiting different performances are examined. The proposed index is calculated based on the MTF measurement by using an edge test device. The results show thatMIFG(u)changed according to grid type and scatter conditions. In particular, a remarkable difference was observed in the high scatter condition compared with the low condition.MIFG(u)in the vertical direction with regards to the absorbing strips shows a peak at 0.2-0.5 cycles/mm and be a constant value from approximately 1 cycle/mm; whileMIFG(u)in the parallel direction is a constant value with respect to changes in spatial frequency. It is shown thatMIFG(u)could be used to accurately describe the characteristics of a grid under different imaging conditions. We believe that the use of the proposed index could expand the options for optimizing imaging conditions when using grids.

Identifiants

pubmed: 33906178
doi: 10.1088/2057-1976/abfc2f
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2021 IOP Publishing Ltd.

Auteurs

Sho Maruyama (S)

School of Radiological Sciences, Faculty of Health Science, Gunma Paz University, Gunma, Japan.
Graduate School of Radiological Technology, Gunma Prefectural College of Health Sciences, Gunma, Japan.

Hiroki Saito (H)

School of Radiological Sciences, Faculty of Health Science, Gunma Paz University, Gunma, Japan.

Masayuki Shimosegawa (M)

Graduate School of Radiological Technology, Gunma Prefectural College of Health Sciences, Gunma, Japan.

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Classifications MeSH