Comparison of human observer impression of X-ray fluoroscopy and angiography image quality with technical changes to image quality.

IF 1.9 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Journal of Medical Imaging Pub Date : 2024-07-01 Epub Date: 2024-08-10 DOI:10.1117/1.JMI.11.4.045502
Jelena M Mihailovic, Yoshihisa Kanaji, Daniel Miller, Malcolm R Bell, Kenneth A Fetterly
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Abstract

Purpose: Spatio-temporal variability in clinical fluoroscopy and cine angiography images combined with nonlinear image processing prevents the application of traditional image quality measurements in the cardiac catheterization laboratory. We aimed to develop and validate methods to measure human observer impressions of the image quality.

Approach: Multi-frame images of the thorax of a euthanized pig were acquired to provide an anatomical background. The detector dose was varied from 6 to 200 nGy (increments 2×), and 0.6 and 1.0 mm focal spots were used. Two coronary stents with/without 0.5 mm separation and a synthetic right coronary artery (RCA) with hemispherical defects were embedded into the background images as test objects. The quantitative observer ( n = 17 ) performance was measured using a two-alternating forced-choice test of whether stents were separated and by a count of visible right coronary artery defects. Qualitative impressions of noise, spatial resolution, and overall image quality were measured using a visual analog scale (VAS). A paired t -test and multinomial logistic regression model were used to identify statistically significant factors affecting the observer's impression image quality.

Results: The proportion of correct detection of stent separation and the number of reported right coronary artery defects changed significantly with detector dose increment in the 6 to 100 nGy ( p < 0.05 ). Although a trend favored the 0.6 versus 1.0 mm focal spot for these quantitative assessments, this was insignificant. Visual analog scale measurements changed significantly with detector dose increments in the range of 24 to 100 nGy and focal spot size ( p < 0.05 ). The application of multinomial logistic regression analysis to observer VAS scores demonstrated sensitivity matching of the paired t -test applied to quantitative observer performance measurements.

Conclusions: Both quantitative and qualitative measurements of observer impression of the image quality were sensitive to image quality changes associated with changing the detector dose and focal spot size. These findings encourage future work that uses qualitative image quality measurements to assess clinical fluoroscopy and angiography image quality.

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人体观察者对 X 射线透视和血管造影图像质量的印象与图像质量技术变化的比较。
目的:临床透视和电影血管造影图像的时空变异性与非线性图像处理相结合,阻碍了传统图像质量测量方法在心导管实验室的应用。我们的目标是开发并验证测量人类观察者对图像质量印象的方法:方法:获取安乐死猪胸部的多帧图像,以提供解剖背景。探测器剂量从 6 到 200 nGy 不等(增量为 2 倍),使用 0.6 毫米和 1.0 毫米焦斑。背景图像中嵌入了两个间隔为 0.5 毫米的冠状动脉支架和一个有半球形缺损的人造右冠状动脉(RCA)作为测试对象。定量观察者(n = 17)的表现是通过支架是否分离的二选一强制选择测试和可见右冠状动脉缺损的计数来测量的。对噪音、空间分辨率和整体图像质量的定性印象采用视觉模拟量表(VAS)进行测量。采用配对 t 检验和多项式逻辑回归模型确定影响观察者图像质量印象的重要统计因素:支架分离的正确检测比例和报告的右冠状动脉缺损数量随着检测器剂量在 6 到 100 nGy 之间的递增而发生显著变化(P 0.05)。虽然在这些定量评估中,0.6 毫米与 1.0 毫米焦点的趋势更有利,但并不明显。在 24 到 100 nGy 的范围内,视觉模拟量表的测量值随着探测器剂量的增加和焦斑的大小而发生显著变化(P 0.05)。对观察者的 VAS 评分进行多项式逻辑回归分析表明,其灵敏度与用于观察者定量表现测量的配对 t 检验相匹配:观察者对图像质量印象的定量和定性测量对与改变探测器剂量和焦斑大小相关的图像质量变化都很敏感。这些发现鼓励了未来使用定性图像质量测量来评估临床透视和血管造影图像质量的工作。
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来源期刊
Journal of Medical Imaging
Journal of Medical Imaging RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
4.10
自引率
4.20%
发文量
0
期刊介绍: JMI covers fundamental and translational research, as well as applications, focused on medical imaging, which continue to yield physical and biomedical advancements in the early detection, diagnostics, and therapy of disease as well as in the understanding of normal. The scope of JMI includes: Imaging physics, Tomographic reconstruction algorithms (such as those in CT and MRI), Image processing and deep learning, Computer-aided diagnosis and quantitative image analysis, Visualization and modeling, Picture archiving and communications systems (PACS), Image perception and observer performance, Technology assessment, Ultrasonic imaging, Image-guided procedures, Digital pathology, Biomedical applications of biomedical imaging. JMI allows for the peer-reviewed communication and archiving of scientific developments, translational and clinical applications, reviews, and recommendations for the field.
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