2026-04-29T13:12:16Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/193012024-09-27T09:44:22Zcom_20.500.12105_19604com_20.500.12105_2051col_20.500.12105_19605
Repisalud
author
Sakaltras, N
author
Pena, A
author
Martinez, C
author
Desco, Manuel
author
Abella, M
funder
Ministerio de Ciencia e Innovación (España)
funder
Agencia Estatal de Investigación (España)
funder
Unión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF)
funder
Unión Europea. Comisión Europea. NextGenerationEU
funder
Comunidad de Madrid (España)
funder
Banco Santander
funder
Instituto de Salud Carlos III
2024-05-08T11:22:05Z
2024-05-08T11:22:05Z
2023-05-31
Sci Rep. 2023 May 31;13(1):8795.
10.1038/s41598-023-32764-5
2045-2322
Scientific reports
37258545
http://hdl.handle.net/20.500.12105/19301
X-ray scatter in planar radiography degrades the contrast resolution of the image, thus reducing its diagnostic utility. Antiscatter grids partially block scattered photons at the cost of increasing the dose delivered by two- to four-fold and posing geometrical restrictions that hinder their use for other acquisition settings, such as portable radiography. The few software-based approaches investigated for planar radiography mainly estimate the scatter map from a low-frequency version of the image. We present a novel method for scatter correction in planar imaging based on direct patient measurements. Samples from the shadowed regions of an additional partially obstructed projection acquired with a beam stopper placed between the X-ray source and the patient are used to estimate the scatter map. Evaluation with simulated and real data showed an increase in contrast resolution for both lung and spine and recovery of ground truth values superior to those of three recently proposed methods. Our method avoids the biases of post-processing methods and yields results similar to those for an antiscatter grid while removing geometrical restrictions at around half the radiation dose. It can be used in unconventional imaging techniques, such as portable radiography, where training datasets needed for deep-learning approaches would be very difficult to obtain.
eng
A novel beam stopper-based approach for scatter correction in digital planar radiography.
journal article
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A novel beam stopper_based_Sci Rep_2023.pdf
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A novel beam stopper_based_Sci Rep_2023.pdf.txt