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基于新型射束挡块的数字平板放射成像散射校正方法。

A novel beam stopper-based approach for scatter correction in digital planar radiography.

机构信息

Departamento de Bioingeniería, Universidad Carlos III de Madrid, Avda. de la Universidad 30, 28911, Leganés, Madrid, Spain.

Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.

出版信息

Sci Rep. 2023 May 31;13(1):8795. doi: 10.1038/s41598-023-32764-5.

Abstract

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.

摘要

X 射线散射会降低平面放射成像的对比度分辨率,从而降低其诊断效用。散射栅格以增加两倍至四倍的剂量为代价部分阻挡散射光子,并存在几何限制,阻碍了它们在其他采集设置(如便携式放射摄影)中的使用。针对平面放射摄影,已经研究了少数基于软件的方法,这些方法主要从图像的低频版本估计散射图。我们提出了一种基于直接患者测量的平面成像散射校正的新方法。使用放置在 X 射线源和患者之间的束挡块获取的额外部分遮挡投影的阴影区域的样本用于估计散射图。使用模拟和真实数据的评估表明,肺和脊柱的对比度分辨率都有所提高,并且恢复的真实值优于最近提出的三种方法。我们的方法避免了后处理方法的偏差,并产生了类似于散射栅格的结果,同时在大约一半的辐射剂量下消除了几何限制。它可以用于非常规的成像技术,例如便携式放射摄影,在这些技术中,深度学习方法所需的训练数据集非常难以获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5a/10232419/198fbcc32d58/41598_2023_32764_Fig1_HTML.jpg

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