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首页> 外文期刊>IEEE Transactions on Nuclear Science >Single-slice versus multi-slice display for human-observer lesion-detection studies
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Single-slice versus multi-slice display for human-observer lesion-detection studies

机译：单层显示与多层显示用于人类观察者病变检测研究

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摘要

Use of a single-slice (2D) display for observer studies may bias results acid reduce the studies' clinical generalizability. Human observers perform better at the task of lesion detection with 3D-processed images than they do with 2D-processed images when the images are presented using a 2D display. However, 3D-processing techniques incorporate information from out-of-plane or adjacent slices into an image and thus provide more information to the observer than does a similar 2D-processing method. Observer performance with 2D-processing methods may improve if the adjacent-slice information is provided by way of a multi-slice (3D) display. 3D processing also introduces 3D distracters which may not be present with 2D processing. The authors investigated, with a human-observer LROC study, the impact of 2D versus 3D display on FBP and OSEM reconstruction followed by 2D and 3D filtering. Three display modes were used: single-slice, multi-slice, and multi-slice with cine. The emulated clinical task was the detection and localization of small gallium lesions in thoracic SPECT scans. Results indicate that 3D display generally improves performance over the 2D display, as measured by the area under the LROC curve and the probability of correct localization. The improvement is greater for 2D-than for 3D-filtered reconstruction, leading to a reduction in the significance of the differences between them.
机译：将单片（2D）显示器用于观察者研究可能会使结果偏向酸性，从而降低研究的临床通用性。当使用2D显示器显示图像时，与3D处理图像相比，人类观察者在病变检测任务上的表现要好于2D处理图像。但是，3D处理技术将来自平面外或相邻切片的信息合并到图像中，从而比类似的2D处理方法向观察者提供更多的信息。如果通过多切片（3D）显示提供相邻切片信息，则使用2D处理方法的观察者性能可能会提高。 3D处理还引入了3D分心器，而2D处理可能不存在。作者通过LROC研究人员调查了2D与3D显示对FBP和OSEM重建以及2D和3D过滤的影响。使用了三种显示模式：单片，多片和带电影的多片。模拟的临床任务是在胸部SPECT扫描中检测和定位小镓病变。结果表明，按照LROC曲线下的面积和正确定位的概率来衡量，3D显示通常比2D显示提高性能。 2D的改进要比3D过滤的重建大得多，从而减少了两者之间差异的重要性。

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