Suppr超能文献

图像质量重要吗?分辨率和噪声对乳腺X线摄影任务表现的影响。

Does image quality matter? Impact of resolution and noise on mammographic task performance.

作者信息

Saunders Robert S, Baker Jay A, Delong David M, Johnson Jeff P, Samei Ehsan

机构信息

Duke Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, Durham, North Carolina 27705, USA.

出版信息

Med Phys. 2007 Oct;34(10):3971-81. doi: 10.1118/1.2776253.

Abstract

The purpose of this study was to examine the effects of different resolution and noise levels on task performance in digital mammography. This study created an image set with images at three different resolution levels, corresponding to three digital display devices, and three different noise levels, with noise magnitudes similar to full clinical dose, half clinical dose, and quarter clinical dose. The images were read by five experienced breast imaging radiologists. The data were then analyzed to compute two accuracy statistics (overall classification accuracy and lesion detection accuracy) and performance at four diagnostic tasks (detection of microcalcifications, benign masses, malignant masses, and discrimination of benign and malignant masses). Human observer results showed decreasing display resolution had little effect on overall classification accuracy and individual diagnostic task performance, but increasing noise caused overall classification accuracy to decrease by a statistically significant 21% as the breast dose went to one quarter of its normal clinical value. The noise effects were most prominent for the tasks of microcalcification detection and mass discrimination. When the noise changed from full clinical dose to quarter clinical dose, the microcalcification detection performance fell from 89% to 67% and the mass discrimination performance decreased from 93% to 79%, while malignant mass detection performance remained relatively constant with values of 88% and 84%, respectively. As a secondary aim, the image set was also analyzed by two observer models to examine whether their performance was similar to humans. Observer models differed from human observers and each other in their sensitivity to resolution degradation and noise. The primary conclusions of this study suggest that quantum noise appears to be the dominant image quality factor in digital mammography, affecting radiologist performance much more profoundly than display resolution.

摘要

本研究的目的是检验不同分辨率和噪声水平对数字化乳腺摄影中任务表现的影响。本研究创建了一个图像集,其中的图像具有三种不同的分辨率水平,分别对应三种数字显示设备,以及三种不同的噪声水平,其噪声幅度类似于全临床剂量、半临床剂量和四分之一临床剂量。这些图像由五位经验丰富的乳腺影像放射科医生进行解读。然后对数据进行分析,以计算两项准确性统计指标(总体分类准确性和病变检测准确性)以及在四项诊断任务(微钙化灶检测、良性肿块检测、恶性肿块检测以及良性和恶性肿块鉴别)中的表现。人类观察者的结果显示,显示分辨率降低对总体分类准确性和个体诊断任务表现影响不大,但随着乳腺剂量降至正常临床值的四分之一,噪声增加导致总体分类准确性在统计学上显著下降21%。噪声影响在微钙化灶检测和肿块鉴别任务中最为突出。当噪声从全临床剂量变为四分之一临床剂量时,微钙化灶检测性能从89%降至67%,肿块鉴别性能从93%降至79%,而恶性肿块检测性能相对保持稳定,分别为88%和84%。作为次要目的,还通过两种观察者模型对图像集进行了分析,以检验它们的表现是否与人类相似。观察者模型在对分辨率降低和噪声的敏感度方面与人类观察者不同,且彼此之间也存在差异。本研究的主要结论表明,量子噪声似乎是数字化乳腺摄影中主要的图像质量因素,对放射科医生表现的影响远比显示分辨率更为深刻。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验