Zarella Mark D, Jakubowski Jennifer
Drexel University, Department of Pathology and Laboratory Medicine, Philadelphia, Pennsylvania, United States.
Drexel University, School of Biomedical Engineering, Science and Health Systems, Philadelphia, Pennsylvania, United States.
J Med Imaging (Bellingham). 2019 Oct;6(4):047502. doi: 10.1117/1.JMI.6.4.047502. Epub 2019 Dec 19.
Digital screening and diagnosis from cytology slides can be aided by capturing multiple focal planes. However, using conventional methods, the large file sizes of high-resolution whole-slide images increase linearly with the number of focal planes acquired, leading to significant data storage and bandwidth requirements for the efficient storage and transfer of cytology virtual slides. We investigated whether a sequence of focal planes contained sufficient redundancy to efficiently compress virtual slides across focal planes by applying a commonly available video compression standard, high-efficiency video coding (HEVC). By developing an adaptive algorithm that applied compression to achieve a target image quality, we found that the compression ratio of HEVC exceeded that obtained using JPEG and JPEG2000 compression while maintaining a comparable level of image quality. These results suggest an alternative method for the efficient storage and transfer of whole-slide images that contain multiple focal planes, expanding the utility of this rapidly evolving imaging technology into cytology.
通过捕获多个焦平面可以辅助从细胞学载玻片进行数字筛查和诊断。然而，使用传统方法时，高分辨率全玻片图像的大文件大小会随着获取的焦平面数量线性增加，这就导致在高效存储和传输细胞学虚拟玻片时对数据存储和带宽有很高要求。我们研究了一系列焦平面是否包含足够的冗余信息，以便通过应用一种常用的视频压缩标准——高效视频编码（HEVC）来有效地跨焦平面压缩虚拟玻片。通过开发一种应用压缩以实现目标图像质量的自适应算法，我们发现HEVC的压缩率超过了使用JPEG和JPEG2000压缩所获得的压缩率，同时保持了相当的图像质量水平。这些结果表明了一种用于高效存储和传输包含多个焦平面的全玻片图像的替代方法，从而将这种快速发展的成像技术的应用扩展到细胞学领域。
