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用于诊断解读的数字医学图像灰度和彩色渲染的比较。

Comparison of grayscale and color-scale renderings of digital medical images for diagnostic interpretation.

作者信息

Ogura Akio, Kamakura Aoi, Kaneko Youhei, Kitaoka Tomoya, Hayashi Norio, Taniguchi Anna

机构信息

Graduate School, Gunma Prefectural College of Health Sciences, 323-1, Kamioki-machi, Maebashi, Gunma, Japan.

Department of Radiology, Jichi Medical University Hospital, Tochigi, Japan.

出版信息

Radiol Phys Technol. 2017 Sep;10(3):359-363. doi: 10.1007/s12194-017-0393-6. Epub 2017 Mar 27.

Abstract

Medical images are increasingly being rendered as digital images that are displayed on a monitor to provide diagnoses. However, these images are often rendered in grayscale. In this context, we compare the detectability of low-contrast signals between digital grayscale images and color-scale images. Low-contrast phantom images were rendered with the use of five color tables (gray, blue, red, yellow, and green). The 32 acquired images sorted in random order were evaluated by nine observers, and their observations were subjected to receiver operating characteristic analysis. In addition, the evaluators' preferred color and their eye fatigue upon image observation were compared. The low-contrast resolutions of yellow and green color scales were superior to that of grayscale. The use of yellow resulted in the least eye fatigue, and importantly our results indicate that the interpretation of digital medical images can be improved when these images are rendered in a "yellow scale" rather than grayscale.

摘要

医学图像越来越多地被呈现为数字图像,这些图像在显示器上显示以提供诊断。然而,这些图像通常以灰度显示。在此背景下,我们比较了数字灰度图像和彩色图像之间低对比度信号的可检测性。使用五个颜色表(灰色、蓝色、红色、黄色和绿色)生成低对比度体模图像。将32张随机排序的采集图像由9名观察者进行评估,并对他们的观察结果进行接受者操作特征分析。此外,还比较了评估者偏爱的颜色以及他们在观察图像时的眼睛疲劳程度。黄色和绿色色标的低对比度分辨率优于灰度。使用黄色导致眼睛疲劳最少,重要的是我们的结果表明,当数字医学图像以“黄色标度”而非灰度呈现时,其解读可以得到改善。

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