Exploration of Stereo Display for Lung Cancer Screening

描述(由申请人提供)： 螺旋CT用于肺癌筛查的有效性目前正在评估中，很可能在未来某种形式的筛查将变得司空见惯。但是，由于潜在的筛查人群很大，再加上阅读这些研究报告所需的相当繁琐和耗时的工作，采用它将导致胸部放射医师的工作量相当大的增加。我们一直在研究使用立体显示方法来提高放射科医生读取3D成像研究中产生的大量数据的效率和性能的可行性。一叠薄层CT切片的立体显示有可能澄清三维结构，同时避免由于组织叠加而引起的歧义，这通常与较厚的切片相关。此外，众所周知，可以在立体显示器中检测到某些类型的对象，这增强了切片之间相关的特征，但是当以逐个切片的方式观看时，不能检测到这些对象。胸部CT特别适合于立体显示方法，因为通过使空气透明，肺结节可以在很大程度上与邻近组织隔离。本项目的目的是开发和评估通过螺旋CT获得的肺癌筛查数据在立体显示器上显示的方法。显示器将由CRT和快门眼镜组成，并将包括一个定制的投影算法，其中包含一个几何模型和一个为胸部CT的特定要求量身定做的对比度-透明度模型。一旦显示器投入使用，将进行一项回顾性研究，以测量三种显示模式之间的相对准确性和效率，以检测和分类肺部病变，包括立体3D、厚层MEP和逐层切片。我们希望证明，在肺癌筛查中使用立体显示器将提高准确性和效率，这将极大地提高这一筛查过程的效率。

DESCRIPTION (provided by applicant): The efficacy of helical CT for lung cancer screening is currently being evaluated, and it is likely that some form of such screening will become commonplace in the future. But, because of the large potential screening population combined with the rather tedious and time-consuming effort required to read these studies, its adoption will result in a considerable increase in the workload of chest radiographers. We have been investigating the feasibility of using stereoscopic display methods to increase radiologists' efficiency and performance in reading the large volumes of data generated in 3D imaging studies. The stereo display of a stack of thin CT slices has the potential to clarify three-dimensional structures, while avoiding ambiguities due to tissue superposition, commonly associated with thicker slices. Also, it is known that certain kinds of objects can be detected in a stereo display, which enhances features that are correlated between slices, but these objects cannot be detected when viewed in a slice-by-slice manner. Chest CT is uniquely suited to stereo display methods because, by rendering air transparent, lung nodules can be largely isolated from adjacent tissues. The objective of this project is to develop and evaluate methods for displaying lung cancer screening data, acquired by helical CT, on stereoscopic displays. The display will consist of a CRT used in conjunction with shutter glasses, and will include a customized projection algorithm incorporating a geometric model and a contrast-transparency model tailored to the specific requirements of chest CT. Once the display is operational, a retrospective study will be performed to measure relative accuracy and efficiency, for detection and classification of lung lesions, between three display modes, including stereoscopic 3D, thick-slice MEP, and slice-by-slice. We expect to demonstrate that the use of a stereo display for lung cancer screening will result in improved accuracy and efficiency, and this could greatly increase the efficacy of this screening process.