Mori Kazuya, Negishi Toru
Department of Radiological Technology, Saiseikai Kawaguchi General Hospital, 5-11-5 Nishikawaguchi, Kawaguchi, Saitama, 332-8558, Japan.
Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, 7-2-10 Higashi-ogu, Arakawa, Tokyo, 116-8551, Japan.
Radiol Phys Technol. 2025 Mar;18(1):249-257. doi: 10.1007/s12194-025-00879-1. Epub 2025 Jan 11.
In plain radiography, scattered X-ray correction processing (Virtual Grid: VG) is used to estimate and correct scattered rays in images. We developed an objective evaluation system for bedside chest X-ray images using VG and investigated its usefulness. First, we trained the blind/referenceless image spatial quality evaluator (BRISQUE) on 200 images obtained by portable chest radiography. We then evaluated optimal chest phantom VG images as well as those that deviated from the VG setting conditions using BRISQUE. Furthermore, we conducted a subjective evaluation using the mean opinion score (MOS) and established an objective evaluation system for VG images. Finally, the degree of agreement between the MOS subjectively evaluated by 14 radiological technologists and that determined by the objective evaluation system for 100 clinical images obtained by portable chest radiography was calculated using Cohen's kappa coefficient. The correlation coefficient between the BRISQUE score and MOS for chest phantom images was - 0.96 (p < 0.05). The two scores showed a very high linear correlation, indicating the potential of the BRISQUE score as an alternative to MOS. The Cohen's kappa coefficient for the objective evaluation system using the optimal conversion table was 0.42. Conversely, there was a very high detection rate of 82.86% for poor-quality images. An objective evaluation system for bedside chest X-ray images using VG that uses no-reference image quality evaluation helps provide proper image quality. Furthermore, such a system can be constructed with a small amount of training data, which increases the possibility of introducing it to a variety of facilities.
在普通X线摄影中，散射X线校正处理（虚拟滤线栅：VG）用于估计和校正图像中的散射射线。我们开发了一种使用VG的床边胸部X线图像客观评估系统，并研究了其有效性。首先，我们在通过便携式胸部X线摄影获得的200张图像上训练了盲/无参考图像空间质量评估器（BRISQUE）。然后，我们使用BRISQUE评估了最佳胸部体模VG图像以及那些偏离VG设置条件的图像。此外，我们使用平均意见得分（MOS）进行了主观评估，并建立了VG图像的客观评估系统。最后，使用科恩kappa系数计算了14名放射技师主观评估的MOS与便携式胸部X线摄影获得的100张临床图像的客观评估系统确定的MOS之间的一致性程度。胸部体模图像的BRISQUE得分与MOS之间的相关系数为 -0.96（p <0.05）。这两个得分显示出非常高的线性相关性，表明BRISQUE得分作为MOS替代指标的潜力。使用最佳转换表的客观评估系统的科恩kappa系数为0.42。相反，对于质量差的图像，检测率非常高，为82.86%。使用无参考图像质量评估的基于VG的床边胸部X线图像客观评估系统有助于提供合适的图像质量。此外，这样的系统可以用少量的训练数据构建，这增加了将其引入各种设施的可能性。
