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暗场射线照相术中同时检测木材和金属颗粒。

Simultaneous wood and metal particle detection on dark-field radiography.

作者信息

Braig Eva-Maria, Birnbacher Lorenz, Schaff Florian, Gromann Lukas, Fingerle Alexander, Herzen Julia, Rummeny Ernst, Noël Peter, Pfeiffer Franz, Muenzel Daniela

机构信息

1Chair of Biomedical Physics, Department of Physics and Munich School of BioEngineering, Technical University of Munich, James-Franck-Str. 1, 85748 Garching, Germany.

2Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Straße 22, 81675 München, Germany.

出版信息

Eur Radiol Exp. 2018;2(1):1. doi: 10.1186/s41747-017-0034-1. Epub 2018 Jan 10.

Abstract

BACKGROUND

Currently, the detection of retained wood is a frequent but challenging task in emergency care. The purpose of this study is to demonstrate improved foreign-body detection with the novel approach of preclinical X-ray dark-field radiography.

METHODS

At a preclinical dark-field x-ray radiography, setup resolution and sensitivity for simultaneous detection of wooden and metallic particles have been evaluated in a phantom study. A clinical setting has been simulated with a formalin fixated human hand where different typical foreign-body materials have been inserted. Signal-to-noise ratios (SNR) have been determined for all test objects.

RESULTS

On the phantom, the SNR value for wood in the dark-field channel was strongly improved by a factor 6 compared to conventional radiography and even compared to the SNR of an aluminium structure of the same size in conventional radiography. Splinters of wood < 300 μm in diameter were clearly detected on the dark-field radiography. Dark-field radiography of the formalin-fixated human hand showed a clear signal for wooden particles that could not be identified on conventional radiography.

CONCLUSIONS

x-ray dark-field radiography enables the simultaneous detection of wooden and metallic particles in the extremities. It has the potential to improve and simplify the current state-of-the-art foreign-body detection.

摘要

背景

目前,在急诊护理中,检测残留的木质异物是一项常见但具有挑战性的任务。本研究的目的是通过临床前X射线暗场摄影的新方法来证明异物检测的改进。

方法

在临床前暗场X射线摄影中,通过模型研究评估了同时检测木质和金属颗粒的设置分辨率和灵敏度。使用甲醛固定的人手模拟临床场景,并插入不同的典型异物材料。测定了所有测试对象的信噪比(SNR)。

结果

在模型上,暗场通道中木材的SNR值与传统放射摄影相比提高了6倍,甚至与传统放射摄影中相同尺寸铝结构的SNR相比也有显著提高。在暗场放射摄影中可以清晰地检测到直径小于300μm的木片。甲醛固定人手的暗场放射摄影显示了木质颗粒的清晰信号,而在传统放射摄影中无法识别这些信号。

结论

X射线暗场放射摄影能够同时检测四肢中的木质和金属颗粒。它有可能改进和简化当前的异物检测技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/729a/6092705/1fc8fcff2a2e/41747_2017_34_Fig1_HTML.jpg

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