首页> 外文会议>SPIE Conference on Image Perception, Observer Performance, and Technology Assessment >Luminance level of a monitor: influence on detectability and detection rate of breast cancer in 2D mammography
【24h】

Luminance level of a monitor: influence on detectability and detection rate of breast cancer in 2D mammography

机译:监测仪的亮度水平:2D乳腺癌中乳腺癌可检测性和检测率的影响

获取原文

摘要

Purpose: To evaluate lesion detectability and reading time as a function of luminance level of the monitor. Material and Methods: 3D mass models and microcalcification clusters were simulated into ROIs of for processing mammograms. Randomly selected ROIs were subdivided in three groups according to their background glandularity: high (>30%), medium (15-30%) and low (<15%). 6 non-spiculated masses (9 - 11mm), 6 spiculated masses (5 - 7mm) and 6 microcalcification clusters (2 - 4mm) were scaled in 3D to create a size range. The attenuation coefficient (AC) of the masses was adjusted from 100% glandular tissue to 90%, 80%, 70%, to create different contrasts. Six medical physicists read the full database on Barco's Coronis Uniti monitor for four different luminance levels (300, 800, 1000 and 1200 Cd/m~2), using a 4-AFC tool. Percentage correct (PC) and reading time were computed. A paired t-test was performed to evaluate the effect of luminance on PC and time. A multi-factorial analysis was performed using MANOVA. Results: Paired t-test indicated a statistically significant difference for the average time per image between 300 and 1200; 800 and 1200; 1000 and 1200 cd/m~2, for all participants combined. There was no large effect detected on PC. MANOVA denoted a significantly lower reading time on high glandularity images at 1200 cd/m~2. Both types of masses were significantly faster detected at 1200 cd/m~2, for the contrast study. In the size study, microcalcification clusters and spiculated masses had a significantly higher detection rate at 1200 cd/m~2. Conclusion: These results demonstrate a significant decrease in reading time, while detectability remained constant.
机译:目的:评估病变可检测性和读取时间作为监视器的亮度水平的函数。材料和方法:将3D质量模型和微透析簇模拟成用于加工乳房X线照片的ROI。根据其背景腺体,随机选择的rOI分为三组腺体:高(> 30%),中等(15-30%)和低(<15%)。 6以3D缩放3D以形成尺寸范围的非刺激物(9-11mm),6个刺激物(5 - 7mm)和6个微钙化簇(2 - 4mm)。群体的衰减系数(AC)从100%腺体组织调节至90%,80%,70%,以产生不同的对比。六位医学物理学家使用4-AFC工具阅读四种不同亮度级别(300,800,000和1200cd / m〜2)的Barco的Coronis Uniti监视器上的完整数据库。计算百分比正确(PC)和读取时间。进行配对的T检验以评估亮度对PC和时间的影响。使用Manova进行多因素分析。结果:配对T检验表示300至1200之间的平均时间差异差异; 800和1200;所有参与者合并1000和1200 CD / M〜2。在PC上没有检测到大量效果。 Manova在1200cd / m〜2的高凸起图像上表示明显较低的阅读时间。对于对比度研究,两种类型的质量在1200cd / m〜2中检测得明显更快。在尺寸研究中,微钙化簇和刺激物质量在1200cd / m〜2时具有明显较高的检测率。结论:这些结果表明阅读时间显着降低,而可检测性保持不变。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号